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Banana Pi debuts the BPI-SM10 (K3-CoM260), featuring the SpacemiT K3 AI chip design. In an era where artificial intelligence is increasingly moving from cloud data centers to local devices, two prominent names in the single-board computer ecosystem—Banana Pi and Radxa—are making significant strides with the introduction of remarkably compact computing platforms built around the open-source RISC-V architecture. These new devices, headlined by the Banana Pi BPI-SM10, promise to deliver substantial artificial intelligence processing capabilities within a form factor that challenges conventional expectations about what edge computing hardware can achieve. A closer look at the BPI-SM10 kit BPI SM10 Kit 1 BPI SM10 Kit 3 BPI SM10 Kit 4 BPI SM10 Kit 5 BPI SM10 Kit 6 BPI SM10 Kit 2 Main Features CategorySpecificationDetails🧠 CPU & AI ProcessingCPU Cores8× X100™ 64‑bit RISC‑V coresPipeline4‑issue out‑of‑order, 12‑stage pipeline (RVA23 compliant)L2 Cache8 MB shared L2AI Cores8× A100™ 64‑bit AI CPU coresAI Performance60 TOPS general‑purpose AI computeVector Engine1024‑bit RW 1.0 vector widthAdditional Memory2 MB L2 + 3 MB TCM💾 Memory & StorageSystem Memory64‑bit LPDDR5 @ 6400 MT/sStorage SupportExternal NVMe devices📸 I/O & ExpansionCamera Interfaces2× MIPI CSI‑2 (22‑pin)M.2 Slots1× M.2 Key M, 1× M.2 Key EUSB Ports4× USB 3.0 Type‑AUSB Type‑CUFP modeEthernetGigabit EthernetDisplay OutputDisplayPortExpansion Header40‑pin GPIO headerDisplay InterfaceMIPI DSI (30‑pin)🔌 PowerPower InputDC power input Hardware Specifications Banana Pi BPI‑SM10 RISC‑V Core Board — Specification Table (BPI‑SM10 RISC‑V Core Board) CategorySpecificationChipSpacemiT K3 RISC‑V AI CPUCPU• 8× X100™ 64‑bit RISC‑V cores, up to 2.4 GHz • 2 clusters, each with 4 cores • 4 MB shared L2 cache per cluster (cross‑cluster access) • Each core: 64 KB I‑cache + 64 KB D‑cache • RVA23 profile compliant • RVV 1.0, VLEN = 256 bitsAI Cores• 8× A100™ AI CPU cores, 60 TOPS • 2 clusters, each with 4 cores • 1 MB shared L2 cache per cluster • 1.5 MB TCM per cluster (cross‑cluster access) • Each core: 32 KB I‑cache + 32 KB D‑cache • RVV 1.0, VLEN = 1024 bitsGPUIntegrated 3D GPU Supports Vulkan, OpenCL, OpenGL ESMemory8 GB / 16 GB / 32 GB LPDDR5, 64‑bit, 6400 MT/sStorage• Internal UFS • SD card support • External NVMeVideo Encoding4K60 (H.264 / H.265)Video Decoding• 1× 4K120 (H.264 / H.265 / VP9) • 2× 4K60 (H.264 / H.265 / VP9) • 8× 1080p60 (H.264 / H.265 / VP9) • 16× 1080p30 (H.264 / H.265 / VP9)Power Consumption18 W – 35 W Banana Pi BPI‑SM10 RISC‑V Carrier Board — Specification Table (BPI‑SM10 RISC‑V Carrier Board) CategorySpecificationCamera Interfaces2× MIPI CSI‑2, 22‑pin camera connectorsPCIe Expansion• M.2 Key M (PCIe Gen3 ×4) • M.2 Key M (PCIe Gen3 ×1) • M.2 Key E slotUSB• 4× USB 3.0 Type‑A • 1× USB Type‑C (UFP device mode supported)Networking1× Gigabit Ethernet (GbE) connectorDisplay Outputs• 1× DisplayPort 1.2 • 1× MIPI DSI‑1.2, 30‑pin display connectorOther I/O• Pin expansion header (UART, SPI, I2S, I2C, GPIO) • Pin button header • Pin fan header • DC power jackMechanical Dimensions103 mm × 90.5 mm × 35 mm (Height includes feet, carrier board, module, and thermal solution) The Banana Pi BPI-SM10: Architecture and Design At the heart of the Banana Pi BPI-SM10 lies the SpacemiT K3 system-on-module, a snappy processor that embodies the convergence of general-purpose computing and specialized AI acceleration. This octa-core processor operates at frequencies up to 2.4 GHz and maintains compliance with the RVA23 profile, ensuring compatibility with modern RISC-V software ecosystems. What truly distinguishes this chip, however, is its integrated eight-core neural processing unit capable of delivering up to 60 trillion operations per second (TOPS) for artificial intelligence workloads. Memory and bandwidth The BPI-SM10 adopts a modular design approach that separates the core computing components from the input/output infrastructure. The compute module itself resembles

a SO-DIMM memory stick in form factor, integrating the SpacemiT K3 processor alongside up to 32GB of high-speed LPDDR5-6400 memory. This configuration provides substantial bandwidth for both general computing tasks and the data-intensive operations characteristic of machine learning inference. Carrier Board The companion carrier board measures approximately 103 by 90.5 millimeters and serves as the interface between the compute module and external peripherals. Despite its compact dimensions, this board packs an impressive array of connectivity options. Two M.2 slots provide expansion capabilities, with one supporting PCIe Gen 4 x4 lanes and the other offering Gen 4 x2 configuration. This flexibility enables users to add high-speed storage, wireless networking modules, or additional acceleration hardware according to their specific requirements. Connectivity, Expansion Capabilities and power co Modern edge computing applications demand versatile connectivity, and the BPI-SM10's carrier board delivers comprehensively in this regard. Four USB 3.2 Gen 2 Type-A ports provide high-speed connections for peripherals, while an additional USB 3.2 Gen 2 Type-C port offers both data transfer and potential display output capabilities. For visual output, the board includes a DisplayPort 1.2 connector, enabling support for high-resolution monitors or digital signage applications. Interfaces Network connectivity is handled through a Gigabit Ethernet port, ensuring reliable wired connections for applications requiring stable bandwidth. For developers working with computer vision or sensor fusion applications, the dual MIPI-CSI interfaces enable connection of multiple camera modules, facilitating sophisticated imaging pipelines. The inclusion of a standard 40-pin GPIO header maintains compatibility with the extensive ecosystem of Raspberry Pi-compatible sensors and expansion boards, lowering the barrier to entry for hobbyists and prototypers. Power Consumption Power delivery is managed through a dedicated DC input connector, with the complete system expected to consume between 18 and 35 watts under typical operating conditions. This power envelope represents a thoughtful balance between performance and efficiency, making the platform suitable for both always-on edge deployments and battery-powered applications with appropriate power management. AI Performance: Understanding the 60 TOPS Claim The headline specification of 60 TOPS warrants careful examination. This figure represents peak theoretical performance under specific conditions, particularly when utilizing sparse integer-4 (int4) data formats. In practical terms, developers should expect different performance characteristics depending on their chosen precision levels and model architectures. For instance, when running models using half-precision floating-point (FP16) arithmetic, the effective performance settles around 7.5 TOPS—a figure that remains impressive for a device in this power class but substantially lower than the peak marketing number. Real-world AI performance Real-world AI performance depends on numerous factors beyond raw computational throughput. Memory bandwidth, software optimization, model quantization strategies, and framework support all influence the actual inference speeds users will experience. Early indications suggest that the BPI-SM10 should be capable of running large language models with approximately 30 billion parameters at speeds around 10 tokens per second—a performance level that enables interactive applications while maintaining local processing privacy. The NVIDIA Jetson Orin Nano Super alternative For developers comparing this platform to alternatives, it's instructive to consider the NVIDIA Jetson Orin Nano Super, which delivers approximately 20 TOPS of real-world AI performance using mature CUDA-optimized software stacks. While the BPI-SM10's theoretical peak appears higher, the maturity of NVIDIA's ecosystem and tooling represents a significant advantage for production deployments.

However, for developers prioritizing open-source software stacks or seeking to avoid vendor lock-in, the RISC-V approach offers compelling long-term benefits. CategoryBanana Pi BPI‑SM10 (Core + Carrier Board)NVIDIA Jetson Orin Nano SuperCPU8× X100 RISC‑V 64‑bit @ 2.4 GHz RVA23 profile 64KB I‑cache + 64KB D‑cache per core 4MB L2 per cluster (2 clusters)6‑core ARM Cortex‑A78AEAI Cores / AI TOPS8× A100 RISC‑V AI cores 1MB L2 + 1.5MB TCM per cluster 60 TOPSAmpere GPU + Tensor Cores 67 TOPSVector ExtensionsRVV 1.0 CPU VLEN: 256‑bit AI VLEN: 1024‑bitCUDA, TensorRT, cuDNN (no RVV)GPUIntegrated 3D GPU Vulkan / OpenCL / OpenGL ESNVIDIA Ampere GPU 1024 CUDA coresMemory8 / 16 / 32 GB LPDDR5 @ 6400 MT/s8 GB LPDDR5StorageUFS, SD card, NVMeNVMe, microSD (varies by kit)Video Encoding4K60 H.264/H.2654K60 NVENCVideo Decoding1× 4K120 2× 4K60 8× 1080p60 16× 1080p304K60 NVDECCamera Interfaces2× MIPI CSI‑2 (22‑pin)Depends on carrier board (varies by kit)Display Outputs1× DP 1.2 1× MIPI DSI‑1.2 (30‑pin)HDMI / DP (varies by kit)PCIeM.2 Key M (PCIe 3.0 ×4) M.2 Key M (PCIe 3.0 ×1) M.2 Key EPCIe Gen4 (varies by kit)USB4× USB 3.0 Type‑A 1× USB‑C (UFP device mode)USB‑C + USB‑A (varies by kit)Networking1× GbEDual GbE (varies by kit)Other I/OUART, SPI, I2S, I2C, GPIO headers Button header Fan header DC jackVaries by kit (GPIO, I2C, SPI, UART)Mechanical Size103 × 90.5 × 35 mmVaries by dev kitPower Consumption18–35 W~7–15 W typicalPriceNot yet released~$966–$2083 (various listings) The K3 Pico-ITX Alternative: Single-Board Simplicity Recognizing that not all applications benefit from the modular compute module approach, Banana Pi has also announced plans for a K3 Pico-ITX board. This 2.5-inch square single-board computer integrates the same SpacemiT K3 processor but eliminates the separation between compute and carrier functions. The consolidated design includes several enhancements not found on the BPI-SM10 carrier board, such as an embedded DisplayPort (eDP) connector for direct panel integration, a front-panel header for custom enclosure controls, an RTC battery connector for persistent timekeeping, and notably, a 10-gigabit Ethernet port for high-bandwidth networking applications. The Pico-ITX form factor represents a reference design that other manufacturers may adopt or adapt, potentially expanding the ecosystem of RISC-V-based edge AI hardware. This standardization approach could accelerate adoption by providing a known-quantity platform for software developers and system integrators. Market Positioning and Practical Considerations While official pricing for the Banana Pi BPI-SM10 remains unannounced at the time of writing, contextual clues suggest a premium positioning. The compute module's physical compatibility with NVIDIA's Jetson Orin NX and the carrier board's similarity to Radxa's Orin-based development kit—which retails around $499—indicate that buyers should expect comparable investment requirements. This pricing strategy positions the platform squarely in the professional developer and industrial application space rather than the hobbyist market dominated by lower-cost boards. The target audience for these RISC-V AI computers includes several distinct segments. Research institutions and academic labs exploring open hardware architectures will appreciate the platform's transparency and customization potential. Industrial IoT developers seeking to deploy AI inference at the edge without cloud dependency will value the combination of performance, connectivity, and deterministic behavior. Additionally, privacy-conscious application developers building solutions that must process sensitive data locally will find the local AI acceleration capabilities particularly attractive. Software Ecosystem and Development Considerations One critical factor influencing the adoption of any new hardware platform is the maturity of its software ecosystem. RISC-V benefits from growing support in major open-source projects, including Linux kernel mainline integration, GCC and LLVM compiler toolchains, and emerging AI framework adaptations.

Maybe you missed it? Review of the Banana Pi BPI-R4 Lite. SpacemiT K3 New Products Overview: A brief look at the key highlights of the newest RISC-V hardware. SpacemiT has rolled out an exciting new range of products built around the K3 ecosystem, delivering a great balance of affordability and power efficiency. In recent years, China has made impressive progress in the chip industry, driven by its use of open-source software solutions and the RISC-V architecture. SpacemiT Inc. is one of the leading Chinese semiconductor companies, specializing in developing next‑generation, high‑performance AI CPUs based on the RISC‑V architecture. Their mission is to create the best native computing platform for the new AI era, with a focus on large‑model AI workloads. This article will cover their latest K3 RISC-V AI CPU, designed to handle large-scale models with support for capacities of up to 30 billion parameters. Why “capable of running 30B‑parameter LLMs” is a big deal? Running a 30-billion-parameter model on your own machine is no easy task. Typically, this requires: High memory bandwidth Efficient parallel compute Optimized AI acceleration Support for quantization and model compression A robust software stack (e.g., ONNX Runtime) 1. The K3 is a cutting-edge, high-performance RISC-V CPU built for advanced AI applications. SpacemiT K3 chip series adopt RISC-V homogeneous integrated computing technology, integrating 8 high-performance computing X100 cores and 8 ultra-wide parallel AI computing A100 cores developed by SpacemiT, which provide 130 KDMIPS of general computing power and 60 TOPS of general AI computing power, and can smoothly run 30-billion-parameter models. k3 block bd Target market The K3 chip series is designed for AI consumer hardware, including smart home gadgets, AI-powered conference and office tools, AI content creation devices, AI-driven e-commerce setups, retail systems, and users who want to run local LLMs, among other applications. Main Highlights FeatureRequired by RVA23Supported by SpacemiT K3RV64I base✔✔M/A/F/D/C✔✔Bit‑manip (B)✔✔Vector (V / RVV 1.0)✔✔ (1024‑bit)Hypervisor (H)✔ (S‑profile)✔AIA / IOMMUOptional✔Full RVA23 compliance✔✔ All of this offers real value to developers, as mainstream Linux distributions, toolchains, and runtimes work smoothly right out of the box without any tweaks. Completely compliant with the RVA23 profile. What is RVA23 and why is it important? RVA23 is a “standard package” of features that every modern 64‑bit RISC‑V processor must have if it wants to run big operating systems like Linux or Android smoothly. Think of it like a minimum spec list for RISC‑V CPUs. Without RVA23, every chip maker could pick random features, and software would break. With RVA23, everyone agrees on the same baseline. What’s inside RVA23? RVA23 requires a CPU to support: Basic math + advanced math (multiplication, division, floating point) Compressed instructions (smaller, faster code) Atomic operations (needed for multithreading) Bit manipulation (faster crypto, hashing, graphics) Vector instructions (the big one) Performance counters (profiling, debugging) Memory model guarantees (so OSes behave predictably) Optional: hypervisor support (for virtualization, in the S‑profile) Why developers care? RVA23 means: No more guessing which extensions a CPU supports One binary target for Linux/Android Better performance guarantees A stable foundation for future RISC‑V software ecosystems It’s the difference between “maybe it works” and “it definitely works In one sentence RVA23 is the official checklist that ensures all modern 64‑bit RISC‑V CPUs have the same essential features — especially vectors — so software runs reliably everywhere. Here’s some more detailed information showcasing the capabilities of the SpacemiT K3: Feature CategoryDetailsCore DescriptionHigh‑performance RISC‑V AI CPU capable of running 30B‑parameter LLMs smoothly; integrates 8× X100 CPU cores

+ 8× A100 AI coresGeneral Compute130 KDMIPS total CPU computeAI Compute60 TOPS general‑purpose AI performance; supports BF16, FP16, FP8, INT8, INT4Model PerformanceSmooth 30B LLM inference; >10 tokens/s @ 30B; ~84% of 235B model capabilityUse CasesAI smart home, AI office devices, AI content creation, AI retail/e‑commerce, consumer AI hardwareCPU Cores8× X100 64‑bit RISC‑V cores; quad‑issue, out‑of‑order; 2.4 GHz maxCPU Performance130 K DMIPS; SPECint2006 > 9.0/GHz (Cortex‑A76 class)CPU ArchitectureRVA23 profile; 8 MB shared L2 per 8‑core clusterAI Cores8× A100 ultra‑wide AI coresVector ProcessingRVV 1.0 with 1024‑bit vector widthAI AccelerationDedicated TCM + DMASecurity (General)M/S/U privilege levels; hardware protection against Spectre/Meltdown‑class attacksSecurity (Crypto)AES, SHA, RSA, SM2, SM3, SM4Security (RISC‑V)PMP, ePMP, IOPMP; secure boot; secure storage; signature verification; full lifecycle securityVirtualizationRVH 1.0 CPU virtualization; AIA interrupt virtualization; IOMMU device virtualizationMemory SupportLPDDR5‑6400, LPDDR4X‑4266; 64‑bit bus; up to 32 GB; 51 GB/s bandwidthStorage SupportSPI Flash, eMMC 5.1, UFS 2.2, SDIO 3.0; NVMe SSD via PCIeReal‑Time ProcessingDual‑core RT24 64‑bit RISC‑V; 6‑stage in‑order pipelineGraphicsIntegrated 3D GPU supporting Vulkan, OpenCL, OpenGLESVideo Decode4K 120fps (H.265, H.264, VP9, others)Video Encode4K 60fps (H.265, H.264)Display OutputsDual 3840×2160@60fpsMIPI‑DSI8‑lane, 4.5Gbps/lane; supports 4K60, 1440p90, 1080p60DP/eDPDual outputs; up to 1440p144Camera Interfaces4× MIPI‑CSI; 12 lanes total; supports up to 12 camerasPCIe8 lanes @ 8Gbps; 5 controllers; RC/EP modes; hot‑plugUSB3× USB 3.0 Host; 1× USB 3.0 DRD (Type‑C); 1× USB 2.0 HostEthernet4× GMAC (RGMII/RMII/MII); TSN supportOther I/O6× SPI, 2× eSPI, 17× UART, 10× CAN‑FD, 9× I2C, 30× PWMPower15W–25W TDPOperating Temperature–40°C to 85°C (industrial‑grade) 2. K3 Pico-ITX single board computer The K3 Pico-ITX is a compact single-board computer packing up to 60 TOPS of AI performance. It comes with a unified memory setup, 8 CPU cores, and 8 AI acceleration cores, plus fast onboard UFS storage and a 10Gb optical network port. Its design boosts computing power and efficiency, making it great for tasks like scientific computing and AI. The K3 Pico-ITX, designed in a compact 2.5-inch Pico-ITX Plus form factor, is perfect for tight spaces. It features dual M.2 expansion slots and offers interfaces for real-time motion control and system management. Packed with versatile I/O options and built with an industrial-grade design, the K3 Pico-ITX makes it easy to evaluate and integrate systems quickly, helping speed up time to market. k3 pico bd Specifications ModuleDescriptionProcessorSpacemiT K3, 8 cores @2.4 GHz, 60 TOPS AI performance, RVA23 compliant, supports IME vector extensions and full virtualizationDisplayDP Type-C: up to 4K (3840 × 2160) @ 60 Hz 40-pin eDP: up to 2.5K (2560 × 1600) @ 90 HzMemoryDual-channel 2 × 32-bit LPDDR5 6400 MT/s, 16 GB / 32 GB optionsLocal StorageUFS 2.2, 128 GB / 256 GB optionsStorage ExpansionM.2 M-Key (PCIe Gen3 ×4), supports 2280 NVMe SSDHS ExpansionM.2 B-Key (PCIe Gen3 ×2 + USB), supports 2242/3042 cardsReal-Time ExpansionFPC connector for EtherCAT, 5 × CAN-FD, SPI, I²C, UART, etc.WirelessOnboard Wi-Fi 6 + BT 5.2, dual-band, dual-antenna, 802.11 a/b/g/n/ac/ax compliantWired Network1 × RJ45 Ethernet, 10/100/1000 Mbps adaptiveOptical Network10GbE SFP+ port, supports 10GBASE-R / 10GBASE-X, QinQ, MSI-X, WOL, and clusteringAudioOnboard CODEC, internal audio input/outputUSB2 × USB 3.2 Gen1 Type-C (1 full-featured, one OTG) 4 × USB 2.0 Type-A HostDebugUART, JTAG, and 3 side buttons for power, reset, and firmware updateSystem ManagementOnboard EC controller for power, thermal, and system status; includes I²C/UART/GPIO expansionForm Factor100 × 86 mm, Pico-ITX Plus single-board computer, approx. size of a 2.5" driveOSPre-installed Bianbu 3.0; supports Ubuntu 26.04, OpenHarmony 6.0, OpenKylin, Deepin, Fedora, etc.

Power InputDual Type-C USB-PD (65 W) or ATX 2-pin 12 V @ 7 AReliabilityESD protection: board: ±4 kV (contact), ±8 kV (air); system: ±6 kV (contact), ±12 kV (air) Compliant with CCC, CE, and FCC; operating temp: -20 °C ～ 70 °C (consumer) / -40 °C ～ 85 °C (industrial)ClockOnboard RTC with battery interface, supports G3 stateStructureOptional single-board or fan-cooled heatsink assembly Optional single-board or fully-metal industrial chassis Optional real-time board, touchscreen, terminal blocks Note: The M.2 B-Key PCIe ×2 lanes share bandwidth with the M-Key slot; if both are in use, the M.2 M-Key runs at PCIe Gen3 ×2. Optional Components CategoryNameDescriptionInterfacePeripheralSSD980 NVMe™ M.2 SSD, PCIe Gen 3.0 ×4, NVMe 1.4, sequential read up to 3,500 MB/s, sequential write up to 3,000 MB/sM.2 M-Key 2280SSDB+M NVMe SSD 128 GBM.2 B-Key 22424G ModuleEM05M.2 B-Key 3042SATA Expansion CardPCIe to 5 × SATA interfaceM.2 M-Key 2280Docking StationType-C dock for HD 4K display, PD charging, USB 3.0 for tablets/laptops (3-in-1)Full-featured Type-CUltra HD Display16" 2.5K LCD, 90 Hz, 2560 × 160040-pin eDPReal-time Control Expansion Board19 V input, 5 × CAN-FD, EtherCAT, RS232 & RS485 I/O, industrial-grade isolation protectiosnFPCStructural AccessoryEmbedded Fan HeatsinkCustom aluminum designFANMetal Chassis120 × 120 × 48 mm self-developed metal chassisBTN 3. A Full-Stack RISC-V Robotics Development Kit The SpacemiT K3-CoM260 Developer Kit packs an 8-core general-purpose CPU and an 8-core AI CPU into a compact compute module with a reference carrier board. It offers up to 60 TOPS of AI performance and 130 KDMIPS of general computing power, making it capable of running 30B large models smoothly. Powered by the RISC-V architecture, the kit makes it easy to run popular AI models while sticking to standard CPU programming methods, enabling smooth, cost-free migration of AI algorithms. It's hardware compatibility with the Orin Nano makes it a complete solution for edge AI development and testing, perfect for AI appliances, service robots, and autonomous edge devices. Key Features Feature CategoryDescriptionHigh‑Performance Edge AIUp to 60 TOPS AI compute, enabling smooth 30B‑parameter model inference and multi‑stream concurrent workloadsCPU + AI CPU ArchitectureCo‑designed general‑purpose CPU + AI CPU for balanced system compute and high‑performance AI inferenceModular DesignCompute module + carrier board form factor; fully compatible with K3‑CoM260 series for easy integrationDeveloper‑FriendlyStandard CPU programming model allows zero‑cost migration of AI algorithms and system softwareAdvanced RISC‑V ArchitectureFirst compact RISC‑V edge platform supporting the RVA23 profileRich Standard InterfacesComprehensive high‑speed I/O for cameras, sensors, and peripheralsBuilt for Real‑World ApplicationsIdeal for AI appliances, service robots, and autonomous edge agentsEngineering‑Ready SupportSupports custom software, carrier board design, and full system integration to accelerate deployment Specifications ModuleDescriptionChipSpacemiT K3 RISC-V AI CPUCPU8 x X100™ 64-bit RISC-V CPU cores - 2 clusters x 4 cores per cluster, each cluster includes 4 MB shared L2 cache, with cross-cluster access - Each X100 core includes 64 KB I-cache and 64 KB D-cache - Compliant with the RVA23 profile - Supports RVV 1.0, VLEN: 256 bitsAI Performance8 x A100™ AI CPU cores, delivering 60 TOPS - 2 clusters x 4 cores per cluster, each cluster includes 1 MB shared L2 cache and 1.5 MB TCM (Tightly Coupled Memory), with cross-cluster access - Each A100 core includes 32 KB I-cache and 32 KB D-cache - Supports RVV 1.0, VLEN: 1024 bitsGPUIntegrated 3D GPU, with support for Vulkan, OpenCL, and OpenGL ESMemory8GB/16GB/32GB 64-bit LPDDR5, 6400MT/sStorageSupports internal UFS, SD card slot, and external NVMeVideo Encoding4K60 (H.264/H.265)Video Decoding1x 4K120 (H.264/H.265/VP9) 2x 4K60 (H.264/H.265/VP9) 8x 1080p60 (H.264/H.265/VP9) 16x 1080p30 (H.264/H.265/VP9)Power Consumption18W–25W

Reference Carrier Board ModuleDescriptionCamera2 x MIPI CSI-1.1, 22-pin camera connectorsPCIeM.2 Key M slot (PCIe Gen3 ×4) M.2 Key M slot (PCIe Gen3 ×1) M.2 Key E slotUSB4 x USB 3.0 Type-A 1 x USB Type-CNetworking1 x GbE connectorDisplay1 x DP 1.2 connector 1 x MIPI DSI-1.2 30-pin display connectorOther I/O40-pin expansion header (UART, SPI, I2S, I2C, GPIO) 12-pin button header 4-pin fan header DC power jackMechanical103mm x 90.5mm x 34.77mm (Height includes feet, carrier board, module, and thermal solution) Extensive software compatibility The K3 now has native support in Linux kernel 7.0, and work is underway to upstream OpenSBI, U-Boot, LLVM, and other core software. For more information, see the details on the project’s GitHub wiki. (https://github.com/spacemit-com/linux/wiki). OS compatibility now includes Ubuntu 26.04 with support for RISC-V architecture. K3 currently supports a range of open-source operating systems, including Ubuntu, OpenHarmony, OpenKylin, and OpenEuler. Additional operating systems and widely used tools are in the process of being adapted to expand compatibility. Continuously updated download links can be found at: (https://www.spacemit.com/community/eco-software?id=spacemit-open-source-soft) Supporting the Spine‑Triton kernel development system Triton, developed by OpenAI, is a high-level language that lets developers create custom AI kernels with impressive speed. In simpler terms, it’s an open-source framework and library for writing highly efficient GPU code, designed to boost productivity beyond what CUDA offers. Spine-Triton is a compiler and kernel-writing framework supports SpacemiT RISC-V chips like the K1 and K3, making it easy to create high-performance kernels—like MatMul, Softmax, and FlashAttention—using Triton-style code. Why does SpacemiT care about Triton? If SpacemiT gets Triton running efficiently on their RISC‑V AI CPU, it means: Developers can write GPU‑style kernels for K3 AI operators can be optimized without hand‑coding assembly RISC‑V becomes more competitive with NVIDIA/ARM K3 becomes a real platform for custom AI workloads This is a smart strategy to create a modern AI software ecosystem that complements their hardware. Although Triton has many advantages, it has limitations when targeting CPUs. SpacemiT aims for something bigger: enabling Triton‑written operators to run efficiently on RISC‑V AI CPUs.  Deployment info: https://github.com/spacemit-com/spine-triton  Example: https://forum.spacemit.com/t/topic/872  Platforms that are already compatible with the K3 architecture. PlatformDescriptionZenow On-device AI knowledge assistant desktop app. All data processing stays local, ensuring privacy. Supports multi-model management, intelligent chat, knowledge base Q&A, voice interaction, etc. YumeetAn on-device AI meeting assistant desktop application offering local audio processing, transcription, translation, and summarization to enhance meeting efficiency while safeguarding sensitive data.Seewisemulti-modal vision processing: image search by text, video search by text.  Here’s a clear, side‑by‑side comparison table highlighting the performance positioning of the SpacemiT K3, NVIDIA Jetson Orin Nano, and NVIDIA Jetson AGX Orin. SpacemiT K3 vs NVIDIA Jetson Series - Performance Comparison The table below shows that the SpacemiT K3 stands out as a strong contender against the NVIDIA Jetson Orin Nano. CategorySpacemiT K3NVIDIA Jetson Orin NanoNVIDIA Jetson AGX OrinAI Compute (TOPS)60 TOPS20 TOPS275 TOPSLLM CapabilitySmooth 30B model inferenceSuitable for small models (≤7B)Can run 70B+ models (quantized)AI Architecture8× A100 AI cores (1024‑bit RVV vector engines)32 Tensor Cores2048 CUDA cores + 64 Tensor CoresCPU Architecture8× X100 RISC‑V @ 2.4GHz6× ARM Cortex‑A78AE12× ARM Cortex‑A78AEStrengthsEfficient LLM inference, strong vector AI, low powerLowest cost, good for vision tasksMaximum performance for robotics & multi‑model AIWeaknessesNo

Maybe you missed it? Review of the Ugoos SK2 Certified Google TV Box. Ruogood R-X5A Overview: Hardware, performance, software, and price. Ruogood R-X5A Debuts: Next-Gen Amlogic S905A Box with 8K Decoding — DongGuan RuoGood, a leading manufacturer of Android‑powered projectors and Android TV boxes, today unveiled its latest android streaming device built around the new Amlogic S905A chipset. The upgraded SoC offers a big boost in video performance, featuring next‑gen 8K decoding, improved AV1 support, and advanced AI‑powered image processing, delivering smoother playback and crisper picture quality for home entertainment streaming devices. Ruogood R-X5A (First enSample Photos) R X5A Android TV Box P3 R X5A Android TV Box P2 R X5A Android TV Box P1 Complete SoC comparison: S905A, S905X5, S905X4, S905Y4, RK3566, and RK3588. FeatureS905AS905X5S905X4S905Y4RK3566RK3588CPU Architecture4× Cortex‑A554× Cortex‑A554× Cortex‑A554× Cortex‑A554× Cortex‑A554× Cortex‑A76 + 4× Cortex‑A55CPU Clock~2.0–2.5 GHz~2.0–2.2 GHz~2.0 GHz~2.0 GHz~1.8 GHzA76 up to 2.4 GHzProcess Node6 nm6 nm12 nm12 nm22 nm8 nmGPUMali‑G310 V2Mali‑G310Mali‑G31 MP2Mali‑G31 MP2Mali‑G52 2EEMali‑G610 MP4GPU APIsVulkan 1.2Vulkan 1.2Vulkan 1.0Vulkan 1.0Vulkan 1.1Vulkan 1.2AI EngineAI‑SR (~4 TOPS)AI‑Lite (video enhancement)NoneNone0.8 TOPS NPU6 TOPS NPUMax Video Decode8K@24fps4K@60fps4K@60fps4K@60fps4K@60fps8K@60fpsAV1 Decode8K4K4K4K)NoYesHDR SupportHDR10 / HDR10+HDR10 / HLGHDR10 / HLGHDR10 / HLGHDR10 / HLGHDR10 / HDR10+ / HLG / Dolby VisionMemory SupportDDR4 / LPDDR4DDR4 / LPDDR4XDDR4 / LPDDR4DDR4 / LPDDR4LPDDR4 / LPDDR4XLPDDR4X / LPDDR5StorageeMMC, SDeMMC, SDeMMC, SDeMMC, SDeMMC, SD, NVMeeMMC, SD, NVMeEthernet1G1G1GNone1G2.5GWi‑Fi / BT802.11ac + BT5.xWi‑Fi 6 + BT5.x (varies)802.11ac + BT5.xOptionalOptionalOptionalHDMI VersionHDMI 2.1aHDMI 2.1HDMI 2.1None (Y‑series)HDMI 2.0HDMI 2.1Target Use CaseDigital signage, 8K playbackModern TV boxes, Google TVBudget TV boxesCompact sticksSBCs, tablets, industrialAI, high‑end SBCs, mini PCsRelative PerformanceMid‑HighMid‑High (new gen)MidMidMid‑LowVery High Final verdict: Which SoC is the top pick for Android TV boxes? Amlogic’s latest S905A chipset ranks just below the pricier RK3588 SoC, yet it offers faster performance and supports 8K video decoding—something the current S905X5 doesn’t have. SoCAdvantage/Key strengthsMain Highlights🏆 RK3588Overall Best SoC (Raw Power)8 cores (A76 + A55) Mali‑G610 GPU 6 TOPS NPU 8K60 decode + encode PCIe 3.0, NVMe, USB 3.1🥇 Amlogic S905ABest for 8K Video + AI Upscaling8K AV1 decode AI‑SR (super‑resolution) 6 nm efficiency Great for digital signage and premium TV boxes🥈 Amlogic S905X5Best for Modern 4K Streaming Devices.Mali‑G310 GPU AV1 4K60 AI‑Lite video enhancement Perfect balance of cost + performance🥉 Amlogic S905X4Best Budget 4K ChipAV1 4K60 Very affordable Widely used in TV boxes🎯Amlogic S905Y4 Best for Compact Streaming SticksSame as X4 but optimized for small dongles No Ethernet, no HDMI PHY🧱 RK3566Best for SBCs, Linux, and Industrial UsePCIe for NVMe Good GPU for UI Very stable Linux support Better GPU performance? Honestly, not much has changed, but compared to earlier Amlogic chipsets, this hardware delivers GPU performance on par with the popular S905X5 SoC, along with the bonus of 8K video decoding support. SoCCPUGPUGPU RankVideo DecodeAI EngineHDMIS905A4× A55Mali‑G310 V238K24, AV1AI‑SR (video AI)HDMI 2.1a RankSoCGPUPerformance Level1RK3588Mali‑G610 MP4⭐⭐⭐⭐⭐ (High)2RK3566Mali‑G52 2EE⭐⭐⭐⭐ (Mid‑High)3S905AMali‑G310 V2⭐⭐⭐ (Mid)4S905X5Mali‑G310⭐⭐⭐ (Mid‑Low)5S905X4Mali‑G31 MP2⭐⭐ (Low)6S905Y4Mali‑G31 MP2⭐⭐ (Low‑est) R-X5A - Hardware Specifications CategorySpecificationProduct ModelS905AOperating SystemAndroid 14, Multi‑LanguageMain Features8K video codecs, AV1 decode, Dual‑band Wi‑Fi, BT 5.1, Inline AI‑SRCPUAmlogic S905A, Quad‑Core ARM Cortex‑A55GPUARM G310 V2 (OpenGL ES 3.2, OpenCL 2.0, Vulkan 1.2)RAM4GB (Options: 2GB / 4GB / 8GB)ROM64GB (Options: 16GB / 32GB / 64GB / 128GB)RTCOptionalScreen RotationSupported (Digital Signage)External StorageUSB 2.

TANK Pad Ultra Overview: Exploring Specs, Design, and Features. Maybe you missed it? Poco Pad Review. TANK Pad Ultra: Premium Performance in a Durable Tablet The rugged device market has always been a niche area where durability, reliability, and all-weather performance are prioritized over sleekness or minimalism. However, within this challenging category, the new 8849 TANK Pad Ultra, set to launch by the well-known Chinese brand 8849, stands out as a device designed not only for survival but also for high-performance computing in the most demanding environments. Based on the detailed technical specifications provided by the company, this tablet is clearly intended for field professionals, adventurers, emergency responders, and industrial users who require a machine capable of much more than just enduring drops and dust. This article explores the TANK Pad Ultra in depth—its hardware, connectivity, sensors, cameras, power systems, and unique features such as its built‑in projector and camping lamp. The goal is to paint a complete picture of what this device is, what it can do, and why it represents a new class of rugged tablet. TANK Pad Ultra 8849 TANK Pad Ultra - Hardware Specifications CategorySpecificationCPUMT6896 (Dimensity 8200)MemoryRAM 16GB + ROM 512GBDisplay10.95” FHD 1200*1920 ResolutionOSAndroid 15.0Front Camera32MP FF (IMX616), requires transfer FPC; No front flash LEDRear Cameras1. 50MP AF (IMX766). 2. 64MP AF Night Vision (OV64B)Rear Flash / IR1.5A max dual‑color temperature flash; Night vision with four infrared fill lightsSensorsGyroscope (hardware) Acceleration Sensor Compass Ambient Light DistanceWired ChargingFast charging: 66W max input Normal mode: 7.5W max input External onboard coulometer supported (Zhongying SH366003)Reverse Charging (Wired)Type‑C port with reverse charging (5V‑2A)Integrated ProjectorDLP projector Auto‑focusing 1080p resolution 260 lumens Focusing range: 0.5m–4.0mLaser RangingSingle‑point focusing Micro 4‑meter laser rangingCamping LampSupports red & blue warning lights (3‑way control circuit)Battery23400mAh, 66W fast charging Built‑in board‑to‑board connector Max voltage: 8.9V Nominal voltage: 7.74V Temperature detection NTCSIM + Memory CardDual Nano SIM + TF card (hot‑plug supported)USB InterfaceType-C USB 2.0SpeakersSmart PA dual speakers 1134 speakers 3.5cc sound cavity 4Ω 2W output, 97 dBMicrophonesDual analog silicon microphones with noise reductionReceiverWaterproof receiver, model 0809FM Radio✅ FM Support 65-108MhzHeadphone Jack✅ Fingerprint identification support✅ Infrared remote control✅ Bluetooth 5.3✅NFC✅ ziguang THN31 controllerVibration motor✅ 1027 flat motorNetwork modesGSM/WCDMA/C2K/LTE(FDD,TDD)/5G NR(FDD,TDD)WiFiSupport for 802.11 a/b/g/n/ac/ax (dual mode: 2.4 GHz and 5 GHz). Support WI-FI direct connection, WI-FI Display. Transmission to other devices), WI-FI hotspot (V2.0); WIFI MIMOGPS Support GPS+Glonass+Galileo+Beidou, support L1+L5.Operation KeysPower on/off, volume+, volume-, 2xPTT key.Dimentions170.3×268.3×23.6 mmWeight1345 g Durable Construction The thickness and weight of the device are intentional design choices. Rugged tablets require reinforced frames, shock-absorbing materials, waterproof seals for interface protection, and internal structural supports. The TANK Pad Ultra PCB is built around a half-board, double-sided cloth mainboard powered by the MT6896 (Dimensity 8200) chipset. According to the specifications, the device measures 170.3×268.3×23.6 mm and weighs 1345 g. While this is not a lightweight consumer tablet, its weight is reasonable given that we are talking about a heavy duty rugged tablet. A Closer Look at the TANK Pad Ultra Design TANK Pad Ultra 1 TANK Pad Ultra 2 TANK Pad Ultra 3 TANK Pad Ultra 4 TANK Pad Ultra 5 TANK Pad Ultra 6 Display The tablet boasts a 10.95-inch FHD display with a resolution of 1200×1920 pixels. Although it does not have a high-end AMOLED panel, this resolution is perfect for outdoor visibility,

battery efficiency, and suitability for rugged applications like mapping, surveying, and industrial dashboards. Powered by a powerful heavy-duty battery. The product specifications sheet we received confirms that the device is equipped with a substantial 23,400 mAh battery and features 66W fast charging capabilities. This capacity significantly surpasses that of typical tablets and even outperforms many rugged laptops, enabling multi-day operation in the field without access to power. Reverse Charging Support The tablet also supports reverse charging through USB-C (5V-2A), allowing it to function as a power bank for other devices. This feature is invaluable for field workers who may need to charge radios, phones, or sensors. Performance: Dimensity 8200 and High Capacity Memory At the core of the TANK Pad Ultra is the MT6896 (Dimensity 8200), a high-performance 5G chipset recognized for its efficiency and robust AI processing capabilities. Coupled with 16GB of RAM and 512GB of ROM, the device can manage: GIS and mapping software Industrial control systems High‑resolution imaging Multitasking and field data processing AR/AI‑enhanced applications Connectivity: A True Global Communication Device The TANK Pad Ultra supports a wide range of network bands across 2G, 3G, 4G, and 5G NR. The document lists dozens of supported bands, including GSM/WCDMA/C2K/LTE (FDD, TDD)/5G NR (FDD, TDD). This versatility makes the device suitable for global deployment, including in remote areas where older networks still operate. Wi-Fi 6 Connectivity and Bluetooth User GroupKey CapabilitiesWiFi 6 Support(802.11 a/b/g/n/ac/ax)Bluetooth Ver 5.3Additional featuresWiFi Direct, WiFi Display, WiFi Hotspot V2.0 GPS and Supported Navigation Systems The TANK Pad Ultra supports GPS, Glonass, Galileo, and Beidou, featuring L1 + L5 dual-band positioning, which makes it ideal for: Surveying. Navigation in remote areas. Precision mapping. Search and rescue operations. Camera System: High-End Sensor Camera Array The tablet boasts an impressively advanced camera setup for a rugged device. The front sensor features a 32MP FF (IMX616) without flash support, while the main camera includes a 50MP IMX766 sensor, typically found in premium smartphones. Additionally, it has a 64MP OV64B night-vision camera equipped with IR fill lights for imaging in complete darkness, and the inclusion of a dual-color temperature flash further enhances its low-light performance. Practical Applications for the Camera: Law enforcement. Wildlife monitoring. Night‑time inspections. Security operations. Packed with Unique Features This tablet includes several features rarely seen in rugged devices—or any tablets at all. A. Built-In DLP Projector TANK Pad Ultra Projector feature Supports auto-focusing, with a resolution of 1080p, and 260 lumens, making this product suitable for the following applications: Field presentations. Emergency briefings. On‑site training. Projection of maps or schematics. Entertainment during expeditions. A focusing range of 0.5m to 4.0m makes it ideal for use in tents, vehicles, or open spaces. B. Laser Ranging The tablet has single-point focusing and can measure distances with a 4-meter laser. This makes it a handy tool for construction, surveying, and engineering. C. Camping Lamp with Red/Blue Warning Lights Support and enhance the design of red and blue warning lights (3-way control circuit). This is a multifunctional lighting system that can serve as: A camping lantern. An emergency beacon. A hazard warning light. A signaling device. D. Infrared Remote Control The tablet features an IR blaster, enabling it to control: TVs. Projectors. Air conditioners. Industrial equipment. This is especially useful in field offices or remote workstations. Use Cases: Who Is the TANK Pad Ultra Designed For? Given the product's capabilities, this tablet is ideal for the following applications, as shown in the table below.

Maybe you missed it? Review of the Banana Pi BPI-R4 Pro Review (open-source-based router). A brief overview of the key features of the new Xiaomi Router BE19000 Pro. Introduction: Xiaomi's Flagship Router Goes Global The new BE19000 Pro high-end router, recently introduced by Xiaomi, represents a significant advancement in consumer networking technology and showcases the company's most ambitious foray into the premium Wi-Fi 7 router market. Initially launched in China in September 2022 as the BE10000 Pro, this updated device has now been globally released with improved branding and availability in Europe. As one of the first Wi-Fi 7 routers to combine enterprise-grade performance with consumer-friendly features like integrated NAS storage, the BE19000 Pro is expected to establish itself as a strong alternative to flagship products from ASUS, Netgear, and TP-Link. This detailed product introduction explores all we know about this router, including its specifications, features, pricing, availability, and real-world performance expectations derived from official documentation and expert analysis. Xiaomi Router BE19000 Pro BE19000 Pro — Specifications SpecificationDetailsGlobal LaunchMarch 2026 (Czech Republic debut)ModelXiaomi Router BE19000 ProCategoryFlagship WiFi 7 Tri‑Band Router with Integrated NASTarget UsersPower users, content creators, smart homes, SOHOAntennas12× internal high‑gain: 4×2.4GHz + 4×5GHz + 4×6GHzAdditional Antennas1× NFC, 1× BluetoothCooling SystemActive: 75mm centrifugal fan + 86,258mm2 heatsink areaFan ModesSilent, Standard, and Performance (automatically temperature-triggered).SoCQualcomm Immersive Home NPro A7 (Dragonwing platform)CPUQuad‑core ARM @ 1.8 GHzRAM2 GB DDR4Flash Storage256 MB+ (firmware)Wireless ChipsetIntegrated Qualcomm WiFi 7 solution with MLO supportSignal Amplification12× independent FEMs (Front‑End Modules)Standard CompatibiltyWiFi 7 (802.11be), backward compatible with WiFi 6E/6/5/4Band ArchitectureTri‑band: 2.4 GHz + 5 GHz + 6 GHz simultaneous2.4 GHz Speed1,376 Mbps (4×4 MIMO, 40 MHz channels)5 GHz Speed5,760 Mbps (4×4 MIMO, 160 MHz channels)6 GHz Speed11,520 Mbps (4×4 MIMO, 320 MHz channels)Aggregate Speed18,656 Mbps theoretical maximumTotal Spatial Streams12 (4 per band)Key WiFi 7 FeaturesMLO, 4K‑QAM (+20% density), Preamble Puncturing, Deterministic Low Latency, OFDMA, MU‑MIMOChannel Support (2.4GHz)Channels 1‑13 (region‑dependent)Channel Support (5GHz)36‑64, 100‑140 (DFS supported)Channel Support (6GHz)Channels 1‑93 (where regulatory approval is required)Wireless SecurityWPA3‑SAE (required for WiFi 7), WPA2‑PSK fallback, MAC filtering, SSID hiding, Guest network isolation, AI intrusion detection10 Gigabit Ethernet2× ports, 10/100/1000/2500/5000/10000 Mbps adaptive, WAN/LAN auto‑sense, LACP aggregation support.2.5 Gigabit Ethernet4× ports, 10/100/1000/2500 Mbps adaptive, WAN/LAN auto-sense.M.2 Storage Slot USB Port1× M.2 2280 NVMe only (PCIe 3.0), up to 8TB recommended. 1× USB 3.0 Type‑A (5 Gbps), supports external storage/printer sharing.Power InputDC 12V/10A barrel connector (120W adapter included)Physical Buttons1× Reset/Mesh button (5‑sec hold = factory reset; short press = Mesh pairing)NFC Zone1× top‑surface NFC 2.0 for tap‑to‑connect Wi‑Fi (Android)Aggregate Wired ThroughputUp to 30 Gbps across all Ethernet ports simultaneouslyAdvanced Wired FeaturesLACP (802.3ad) port bonding, IPTV dedicated port assignment (ISP‑dependent)Internal ExpansionM.2 2280 NVMe SSD slot (PCIe 3.0 protocol only)External ExpansionUSB 3.0 port for HDD/SSD/thumb drivesMax Recommended CapacityUp to 8TB per drive (M.2 or USB)Supported File SystemsUSB: FAT32/NTFS/EXT3/EXT4/exFAT • M.2: NTFS/EXT4NAS ProtocolsSMB/Samba file sharing, DLNA media server, FTP accessMeasured M.2 Performance~580 MB/s sequential read (router limited; network bandwidth typically bottleneck)Concurrent Drive SupportYes – M.2 + USB can operate simultaneously.Remote AccessEncrypted remote file access via Xiaomi Home app or

Maybe you missed it? An In-Depth Look at the LattePanda IOTA. Introducing DFRobot's latest products: the DFR1195 ESP32-S3, showcased alongside an exclusive Private LoRaWAN Gateway. DFRobot launched an all-in-one IoT solution with an ESP32-S3 board and a new Private LoRaWAN Gateway compatible with Node-RED, ideal for home automation and long-range IoT connectivity projects. Part I: Overview of DFR1195 ESP32-S3 & Private LoRaWAN Gateway Ever tried to connect a sensor in your backyard, only to watch your Wi-Fi signal give up halfway? Or dreamed of building a weather station on your cabin but worried about how to get the data back home? We've all been there. In today's rapidly evolving IoT landscape, developers need versatile hardware that bridges the gap between powerful processing and extended wireless reach. The new DFR1195 LoRaWAN ESP32-S3 development board emerges as a comprehensive solution, engineered to simplify long-distance communication projects while maintaining accessibility for creators at every skill level. Imagine it as the Swiss Army knife of wireless IoT solutions: intelligent, versatile, and poised to assist you in creating something extraordinary. This integrated development board combines the robust capabilities of the ESP32-S3 microcontroller with the SX1262 LoRa transceiver, creating a unified toolkit for building smart sensors, environmental monitors, mesh networks, and home automation extensions that work reliably across hundreds of meters—even in challenging environments. DFR1195 LoRaWAN ESP32 S3 Board (Front and Rear Views) The LoRaWAN Interfaces for the ESP32-S3 Integrate an onboard IPEX1 Wi-Fi antenna socket for seamless connectivity to an external antenna, while also including reset functionality, a power interface, and GPIO and I2C connections. Furthermore, this development board perfectly integrates with the Arduino ecosystem, providing pre-built libraries and sample code to create an effortless experience for every user. LoRaWAN ESP32 S3 Board Interfaces So, what features and capabilities does this board offer? At its core, the DFR1195 is a compact board powered by the ESP32 microcontroller, featuring LoRa wireless modulation that facilitates message transmission over several kilometers, surpassing the constraints of short-range communication. It effortlessly integrates: A brainy ESP32-S3 chip (great for running code). A LoRa radio module (the secret to long-range communication). A cute color screen and buttons (so you can see what's happening, no laptop needed). Convenient plug-in ports for sensors and soldering needed for basic projects! What Sets This Board Apart? Multi-Protocol Wireless Flexibility Unlike single-purpose modules, this development board natively supports four distinct communication frameworks: Direct LoRa peer-to-peer messaging for simple point-to-point links Scalable LoRa one-to-many broadcasting for sensor networks Full LoRaWAN protocol compliance for integration with public or private networks Meshtastic compatibility for decentralized, off-grid text communication This versatility means a single hardware platform can adapt to diverse project requirements without redesign or component swaps. Completely Compatible with the Meshtastic Protocol Is it compatible with the Meshtastic protocol? Absolutely! The DFRobot DFR1195 LoRaWAN ESP32‑S3 Dev Board is officially endorsed for use with Meshtastic. Numerous retailers confirm in their product descriptions that it supports LoRa, LoRaWAN, and Meshtastic protocols. This positions it among the select few boards where compatibility with Meshtastic is not only community-verified but also explicitly promoted by the manufacturer. What makes the DFR1195 compatible? The essential components are as follows. ESP32‑S3 MCU — fully supported by Meshtastic firmware. Semtech SX1262 LoRa transceiver — the recommended radio chip for Meshtastic. 850–930 MHz band — covers 868 MHz (Israel/EU) and 915 MHz (US) variants.

Manufacturer confirmation DFRobot clearly identifies Meshtastic as a supported protocol in the product description, a noteworthy detail that strongly suggests first-party compatibility. Developer-Focused Hardware Design Every physical feature prioritizes rapid prototyping and field testing: Visual Feedback System: The integrated 0.96-inch color LCD display, featuring a resolution of 160×80 pixels, combined with tactile buttons, enables instant status monitoring without the need for a serial monitor or smartphone. Effortlessly switch between connection metrics, sensor readings, and debug information with just a simple press of a button. Portable Power Architecture: An integrated JST connector expertly accommodates 3.7V lithium batteries featuring onboard charging circuitry. Effortlessly shift from bench testing to outdoor deployment without the hassle of rewiring or the need for external power banks. Plug-and-Play Sensor Interface: The numerous Grove-compatible ports and standard 2.54mm headers facilitate effortless, tool-free connections for popular sensors, including temperature, motion, light, and gas detection. This eliminates the need for soldering during the proof-of-concept phase, allowing you to streamline your development cycle and accelerate progress. Hardware Specfications CategorySpecificationCore ProcessorESP32-S3-WROOM-1-N4 module with dual-core Xtensa® LX7 @ 240MHzMemory512KB SRAM, 384KB ROM, 4MB FlashWirelessWi-Fi 802.11 b/g/n, Bluetooth® 5 (LE), LoRa via SX1262RF ChipSX1262LoRa Frequency850–930MHz (region-configurable: EU868/US915)RF PerformanceUp to 22dBm transmit power; -137dBm sensitivity @ SF12Display0.96" RGB LCD, 160×80 pixelsPower3.3V logic; 5V USB-C input; 300mA max charge currentOperating Range-10°C to +60°CDimensions73 x 45mm. Smart Home Ecosystem Expansion Home automation enthusiasts can now make use of this board and break free from Wi-Fi range limitations with their HomeAssistant installations. Thanks to the ESPHome integration, this board operates as a long-range peripheral node, allowing for: Garden soil sensors are designed to provide data from remote plots. Garage door monitors to communicate through thick walls. Outdoor weather stations to feed real-time data indoors. Coverage for multi-story properties without the use of signal repeaters. Real-World Application Scenarios 🏡Large-Property Home Automation Overcome signal dead zones in villas, farms, or multi-building complexes. Deploy environmental sensors in greenhouses, pool monitors in backyards, or gate sensors at property entrances communicating reliably with your central HomeAssistant hub. 🌾Precision Agriculture & Horticulture Monitor soil moisture, ambient temperature, and light levels across expansive fields. The board's low-power capabilities enable battery-operated deployments that transmit periodic updates over kilometers, triggering irrigation systems or alerting farmers to changing conditions. 🏔️ Off-Grid Adventure Communication When cellular connectivity vanishes, Meshtastic mode turns the board into a robust text-messaging node. Hikers, researchers, and emergency responders can establish self-healing mesh networks for sharing coordinates, providing status updates, or sending distress signals—all without the need for any existing infrastructure. 🏭 Industrial IoT Prototyping Evaluate LoRaWAN sensor networks prior to large-scale deployment. The user-friendly visual interface streamlines the process of diagnosing signal strength, packet loss, and gateway registration issues during site surveys or pilot installations. 🌤️ Urban Environmental Monitoring Create hyperlocal air quality, noise, or weather stations that upload data to community dashboards. The compact form factor allows discreet mounting on streetlights, building facades, or park infrastructure. Streamlined Development Experience Arduino IDE Ready Get started in minutes with official library support. The DFRobot_LoRaWAN_ESP32S3 library abstracts complex protocol handling, providing simple functions for:

Network joining (OTAA or ABP authentication methods) Uplink/downlink data transmission Power management and deep sleep scheduling LCD and button interaction handling Ready-to-Run Code Examples Accelerate learning curve with pre-built sketches demonstrating: Basic LoRa packet exchange between two boards LoRaWAN gateway registration and cloud data forwarding Sensor integration with SHT3x temperature/humidity modules Battery-conscious operation with timed wake cycles Meshtastic firmware flashing for instant mesh networking Reasons to Choose This Board for Your Next Project! The DFR1195 breaks the mold of conventional technology, seamlessly combining an expansive wireless range with efficient development. This all-in-one, well-documented board incorporates processing power, a multi-protocol radio, visual feedback, and portable power, enabling: Students eager to delve into the world of wireless communications without getting bogged down by unnecessary complexity. Passionate hobbyists eager to create innovative smart home extensions that go beyond the limitations of Wi-Fi connectivity. Engineers that are eager to swiftly develop prototype industrial IoT solutions using production-ready components. Researchers are dedicated to developing field sensors that provide reliable long-range telemetry capabilities. Whether you're transmitting a single sensor reading across a campus or creating a community mesh network to improve disaster resilience, this development platform provides the foundation to turn your connectivity goals into reality. It guarantees exceptional flexibility, remarkable performance, and seamless usability. Private LoRaWAN Gateway with Built-in Local Server & Node-RED Support The DFRobot LoRaWAN Indoor Gateway device is designed to operate on the 915 MHz frequency band (US915/AU915). This product features an 8-channel Semtech SX1302 chip, a robust quad-core A35 CPU, 512MB of RAM, and 16GB of eMMC storage. It effortlessly incorporates a local SIoT server for MQTT, a sophisticated data parser, and a user-friendly visual Node-RED interface. Additionally, the gateway offers wireless connectivity through 2.4G WiFi and includes an integrated 100Mbps Ethernet port for reliable networking. DFR1093 Private LoRaWAN Gateway Affordable and capable of long-distance connectivity. This gateway lets you set up a private IoT network for under $100, with no cloud fees and full data privacy. The DFRobot LoRaWAN Indoor Gateway (EU868) is perfect for home automation and IoT projects, featuring a built-in SIoT Local Server and pre-installed Node-RED. It can collect data from outdoor sensors up to 4 km away and process it locally, ensuring security, automation, and zero monthly costs. Perfectly suited for agricultural applications. This device seamlessly integrates with a LoRaWAN Control Terminal, facilitating a hassle-free connection to Smart Irrigation Systems and sensors with a distance of up to 4km. For instance, it can easily connect a soil sensor with a water valve relay port, optimizing irrigation efficiency. Smart farming with LoRaWAN gateways. A quick video showcasing the product. https://youtu.be/P8V-Nmn6HXQ Hardware Specfications ComponentFeatureSpecificationPowerPrimary (USB)USB-TYPE-C (5V 2A)Secondary (DC)DC2.1 Port (7-12V 2A)LoRaWANChannels8FrequencyEU 868MHzTransmission Power27dBm MAXSensitivity-140dBm @ 292bpsProtocolClass A / Class CAntenna5dB Gain (SMA Connector)NetworkWi-FiIEEE 802.11 b/g/n (2.4G)AP HotspotIEEE 802.11 b/g/n (2.4G)Ethernet1× 100Mbps PortSystemCPUQuad-core Cortex-A35 (1.3GHz)RAM512 MB DDR4Storage16GB eMMCPhysicalDimensions142mm x 102mm x 30mmWeight (Host)188g (incl. antenna)Case MaterialEnvironmentally Friendly ABS Applications Smart Agriculture: Monitor soil moisture levels and manage irrigation pumps directly on farms that lack 4G/5G connectivity. Home Automation: Connect long-range mailbox sensors or gate sensors to a local control dashboard for seamless management. Education: Ideal for teaching IoT protocols, MQTT, and logic flows in classroom settings.

Introducing LoraSecret: An all-in-one, off-grid, LoRa-based, walkie-talkie-style device for secure mesh communication and messaging. Recently, Hong Kong-based trading and hardware developer Youyeetoo announced "LoraSecrt" (note the spelling variation)—a Kickstarter project positioning itself as a "multi-functional emergency communication terminal" with claims of 10km direct range and 30km mesh networking capability, integrated solar charging, and offline GPS functionality. But with the campaign still in "launching soon" status (as of early 2026) and limited technical specifications publicly available, potential backers face a critical question: How much of this promise aligns with LoRa technology's actual capabilities versus marketing aspiration? This comprehensive article examines the technical realities of LoRa communication, distinguishes between direct range and mesh networking claims, analyzes regulatory constraints affecting real-world performance, and provides essential due diligence steps before supporting any off-grid communication Kickstarter project—including LoraSecrt. A close peek at the LoraSecret LoraSecret LoRa Device 2 LoraSecret LoRa Device 3 LoraSecret LoRa Device 1 A brief look at the product https://youtu.be/PpFQw2EZJio Main features: Built-in Flashlight. Built-in 10,000mAh battery. Lightweight at just 500g. Can be paired with a mobile phone via Bluetooth. Supports mobile app. Able to use offline maps. Can measure steps, routes, and walking distance. One-Tap navigation. Can be used as a solar-powered charger for your phone. wireless charging support. LoraSecret- Design and Features External Design As mentioned in the title, this device sports a Walkie-Talkie-style design and likely offers some water and dust resistance, though there’s no official confirmation yet. It’s also important to note that in off-grid mode, the device actually functions as a text messaging tool rather than a true Walkie-Talkie with voice capabilities. LoraSecrt Design LoRa – what’s that all about? Understanding LoRa Technology: What It Can (and Cannot) Do LoRa, short for Long Range, is a proprietary radio modulation method created by Semtech Corporation that allows low-power, long-distance wireless data transmission. It works in license-free sub-gigahertz ISM bands—433 MHz in Asia, 868 MHz in Europe, and 915 MHz in North America—offering impressive range thanks to its outstanding receiver sensitivity (as low as -148 dBm) and spread spectrum technology that helps fend off interference. The main technical point is that LoRa is built for small data packets, not real-time voice. It’s typically used for things like: Environmental sensor readings (temperature, humidity). GPS coordinate transmission. Short text messages (under 240 bytes per packet). IoT device status updates. Standard LoRa setups offer data rates ranging from 300 bps to 37.5 kbps, depending on the spreading factor. For comparison, traditional analog FM walkie-talkies send voice at about 12,000 bps continuously. This inherent bandwidth limit means that true “walkie-talkie” features like push-to-talk and instant voice would require either: Heavy voice compression with a noticeable delay, causing about 2–5 seconds of buffering. A hybrid device that uses LoRa for data transmission paired with a separate FM radio module for voice communication. The newer FLRC (Fast Long-Range Communication) modes on SX1280 chips trade some range for faster data rates. Without confirmed specs from Youyeetoo, LoraSecrt’s real voice features are still uncertain. Backers should assume text or data messaging is the main dependable function unless the campaign clearly shows real-time voice in action with latency details. The rising need for genuine off-grid communication When cell towers go down during natural disasters, you’re deep in the wilderness with no signal, or festival crowds clog up local networks, reliable communication turns into a safety essential rather than a luxury.

HiWonder WonderLLM is an AI chat module built on the ESP32-S3, offering both vision and voice features. HiWonder has launched the WonderLLM, a compact smart interaction module built around the ESP32-S3 microcontroller. Designed as an all-in-one perception and communication unit, it integrates a 2.0-inch touchscreen display, a 2-megapixel camera with a 123° field of view, a built-in speaker, and a microphone array to enable both visual recognition tasks and conversational AI experiences. For offline functionality, the WonderLLM supports several computer vision tasks directly on the ESP32-S3, including face detection, color tracking, and line following—making it suitable for robotics and educational projects without requiring constant internet connectivity. Integrated CI1302 voice processing chip with high-fidelity microphone A key feature is its dedicated CI1302 voice processing chip, which provides low-power, always-on wake-word detection—allowing the device to respond to voice commands without constantly taxing the main processor. The module connects to cloud-based large language models through HiWonder's XiaoZhi AI platform, though it's important to note that the ESP32-S3 itself lacks sufficient memory to run substantial LLMs locally. Instead, it functions as an intelligent client: performing initial audio processing and wake-word recognition on-device before forwarding queries to cloud services for language model inference. WonderLLM Voice Features Hardware Specifications: Main Processor: ESP32-S3-WROOM-1 module featuring a dual-core 240 MHz LX7 CPU with vector extensions for AI acceleration, 512KB SRAM, Wi-Fi 4, and Bluetooth LE 5.0 Display: 2.0-inch LCD touchscreen Camera: 2MP fixed-focus sensor Audio: Integrated microphone, speaker, and CI1302 voice chip for wake-word detection Connectivity: Two USB Type-C ports (one for ESP32-S3 programming/power, another dedicated to CI1302 firmware updates) Expansion: 4-pin I²C interface (HY2.0-4P connector) enabling the module to serve as a smart vision/voice sensor for external controllers such as Arduino, STM32, ESP32 boards, or BBC micro:bit Physical: 60 × 54 × 22 mm dimensions, 46g weight, M3 mounting holes (34mm × 50mm spacing), 5V USB-C power Software & Development Support The module ships with customizable firmware for both the ESP32-S3 and CI1302 chips, plus development tools for flashing, debugging, and integration. It supports offline speech recognition, local vision processing via Arduino libraries, I²C-based hardware control, and JSON-based Model Context Protocol (MCP) for cloud AI integration. Complete documentation, firmware images, and example projects are available through HiWonder's GitHub repository. Target Applications Ideal for small robotics platforms, STEM education kits, interactive assistants, and vision-enabled DIY projects where the WonderLLM handles perception and user interaction while a separate microcontroller manages motion control or other system functions. The device can easily connect to other embedded hardware, making it great for small robotics projects, STEM kits, interactive assistants, and vision-based DIY builds. In these setups, WonderLLM takes care of perception and user interaction, while a separate microcontroller handles motion control or other system tasks. It works with hardware like Arduino, ESP32, STM32, and micro:bit via the I2C (Inter-Integrated Circuit) communication protocol. WonderLLM Compatible Hardware HuskyLens 2 versus WonderLLM A big part of using a device like this is AI training and deployment, which often requires open-source third-party software. The HuskyLens 2 AI Camera module, however, stands out as it can communicate with certain SBCs like the Raspberry Pi 4 and 5 via the I2C protocol, and it has a built-in training feature that eliminates the need for extra software. This makes it especially handy for simple outdoor setups, though it’s not as cost effective as the WonderLLM device. Pricing & Availability

Maybe you missed it? Orange Pi 6 (Coming soon) WaveNote AI voice recorder and note‑taker: An introduction, key features, hands-on testing, and pricing. Part I: Product introduction WaveNote AI Recorder: The ultimate tool for effortlessly transcribing, taking notes, and summarizing audio or phone calls in any language like a pro. WaveNote AI Recorder is a dedicated AI voice recorder and note‑taking ecosystem built around a physical recording device plus a cloud platform that delivers fast, multilingual transcription, summaries, meeting minutes, mind maps, and to‑do lists. It's more than just a recording gadget; it’s a physical, MagSafe-integrated powerhouse designed for professionals, students, and creators who need to turn spoken words into organized, actionable data instantly. It blends a purpose-built recorder with an AI workspace for web and mobile apps, making it easy to capture, organize, and reuse ideas from meetings, lectures, interviews, or daily thoughts. Its credit card-sized design is compact enough to slip into any small pocket or wallet. This gadget uses GPT-5 to deliver transcriptions with 99% accuracy, and it also lets you switch between various LLMs like Anthropic’s Claude 3.7 and Google Gemini 3, while supporting over 112 languages. WaveNote AI - Key Features 🚀Main highlights In a world of messy manual notes, WaveNote AI automates your productivity. Simply snap it to your phone and let the AI handle the rest. MagSafe & Phone Call Recording: Snaps to your iPhone to record both sides of a phone call using vibration conduction—no complex software hacks needed. Clearer audio: WaveNote uses AI to eliminate up to 95% of background noise. GPT-5 Powered Summaries: Don't just get a transcript; get a high-level executive summary, bulleted action items, and mind maps created by the world's most advanced AI. 99% Accurate Transcription: Industry-leading speech-to-text supporting over 112+ languages and specialized terminology for legal, medical, and tech fields. Massive Storage & Battery: Record for 40+ hours on a single charge and store up to 500 hours of audio directly on the 64GB internal drive. Battery Performance: It offers 42 hours of continuous recording on a single charge and up to 30 days of standby time, easily outlasting typical smartphone apps. Encased in a sleek 3mm aluminum body, it’s powered by a 400mAh–470mAh battery with USB-C fast charging, reaching full power in under two hours. With 64GB of storage, it can hold around 480 hours of high-quality audio, automatically backed up to encrypted cloud storage whenever it syncs with the companion app. In-App AI Model Switching: The official WaveNote app now allows users to choose which LLM (Large Language Model) processes their summaries. In the app settings, you can often toggle between: OpenAI (GPT-5): Best for creative writing and general summaries. Anthropic (Claude 3.7): Many users prefer Claude for coding-heavy meetings or technical documentation because its reasoning is often more precise. Google Gemini 3: Ideal if you want your summaries to integrate directly with your Google Workspace (Google Docs, Calendar, etc.). 1. Hardware: A Slim AI Recorder Built for Real‑World Use At the core of the WaveNote ecosystem is the WaveNote AI Voice Recorder, a sleek, ultra‑thin device built for capturing audio anytime, anywhere.​ 1.1 Design and build Premium aluminum body: The recorder uses a sleek aluminum alloy shell, designed to look and feel like a modern, professional gadget rather than a bulky traditional dictaphone.​ Ultra‑slim, ultra‑light: Marketing materials highlight a thickness on the order of a couple of cards stacked together and a weight of around 29 grams, making it easy to clip to clothing, keep in a shirt pocket, or carry on a lanyard without noticing it.​ Discreet, professional appearance: The minimalist design is intentional, so WaveNote can be used in boardrooms, classrooms, or interviews without being visually intrusive.​

Apple MagSafe Support: Compatible with Apple’s proprietary magnetic technology (as shown in the video below). https://www.tiktok.com/@wavenote.official/video/7598001845948140830 2. Audio Capture System WaveNote’s hardware is built around speech clarity and robustness in noisy environments.​ Dual sensor architecture:Vibration sensor: Captures voice via surface vibrations, especially useful for phone calls and situations where the recorder sits on a table.​ Air‑conduction microphone: A conventional mic tuned for spoken voice, ensuring clean pickup even at a distance.​ Advanced AI noise suppression:WaveNote uses AI to remove up to about 95% of background noise, so voices remain intelligible in cafés, open-plan offices, and conference halls.​ This noise suppression is paired with what the company describes as “studio‑quality sound clarity,” making transcriptions more accurate and easier to read later.​ High transcription accuracy:Reviewers and product demos quote transcription accuracy up to around 98% under typical conditions, thanks to high‑quality capture plus strong cloud models.​​ 3. Storage and Battery 64 GB local memory:The device ships with 64 GB internal storage, enough to store several hundred hours of voice recordings, depending on format and bitrate.​ All‑day recording:Product pages quote continuous recording times on the order of 36–42 hours per charge, which is more than enough for conferences, multi‑day business trips, or back‑to‑back lecture days.​​ Cloud backup:Once synced to WAVENOTE.AI, recordings are stored in encrypted cloud storage, freeing up device space and ensuring you have a secure backup.​ 4. The Wave AI Note Taker & Recorder App The “WaveNoter” mobile and web app can record audio and turn it into organized, shareable notes. It’s designed for professionals, students, and content creators who want accurate transcripts, clear speaker attribution, and concise summaries without the hassle of taking notes by hand. Wave runs on iOS, Android, and a browser-based web app, syncing recordings and notes across devices through the cloud. The core workflow is simple: start recording, let the AI transcribe, then review or export the summary and full transcript in your preferred format. Although WaveNoter is an app designed to complement dedicated hardware, it also boasts clear platform-level specs and technical features that matter to buyers, such as noise canceling and voice sensitive microphones. Supported platforms and OS:iOS and iPadOS from version 15.1 or later; the App Store listing specifies compatibility with iPhone and iPad running iOS/iPadOS 15.1+.​ Web access via a browser, with automatic syncing of recordings and notes between mobile apps and the web dashboard. Storage and infrastructure:Wave uses secure cloud infrastructure on Google Cloud, with encrypted storage and encrypted data transfer for recordings and transcripts. The service advertises SOC 2–level compliance, positioning it for business and enterprise use where security certifications matter. AI and transcription engine:Wave relies on a state-of-the-art speech-to-text backend similar to Whisper‑class models, enabling high‑fidelity transcription in noisy environments and with rapid speech. It supports over 112 languages for transcription, making it suitable for international teams and multilingual meetings. Performance characteristics:Unlimited or effectively “run-long” recordings, so users can record extended meetings, lectures, or podcast sessions without hitting hard time caps. Fast processing with “ultra-fast” conversion from audio to transcript and summary, designed so that long sessions become readable notes within minutes. 5. Advanced recording and capturing with automatic transcribing Wave is built first as a robust audio and call recorder, then layers AI on top. Background recording: The app can record in the background while other apps are open or with the screen off, which is crucial for long meetings or lectures.

Non-stop sessions: It supports continuous recording, so users can track workshops, conferences, or day‑long sessions without needing to restart. Phone call recording via VoIP: Wave includes phone-call recording, capturing incoming and outgoing calls through the app and transcribing them automatically. Multi-modal capture (audio + images): A newer update allows users to capture images alongside audio, and the AI incorporates visual context into the summaries. 6. Transcription Accuracy and Speaker Detection Transcription quality is one of Wave’s standout elements. High-accuracy transcription: Leveraging advanced speech recognition, Wave transcribes spoken content with high fidelity, even when there are technical jargon, multiple speakers, or non‑native accents. Multi-speaker detection: Users report that Wave identifies different speakers and can correctly attribute names or segments with very high accuracy, with one report indicating around 98% correct speaker attribution in group discussions. Real-time and post-processing: Wave can transcribe in real time during recording, or process existing audio files imported into the app. 7. AI Summaries and Note Structuring The AI summarization layer is what differentiates Wave from simple recorders. Intelligent summaries: After a meeting or lecture, Wave creates concise summaries that highlight key points, decisions, and action items so users can skim instead of replaying the whole session. Topic separation: Summaries are broken into sections or topics with headings and bullet points, making complex discussions easier to navigate. Action items and to-dos: The AI can turn spoken instructions and agreements into clear action items or task-style bullet points. Voice to structured notes: Wave converts free-form speech into structured notes, lists, and outlines, effectively acting as an assistant that organizes content instead of just transcribing it. 8. Organization, Search, and Chat Wave also focuses on retrieval and interaction with existing notes. Searchable archives: All transcripts and summaries are searchable, letting users quickly locate topics, names, or decisions across many meetings. Categorization and lists: Recordings can be grouped into folders or lists (e.g., by project, client, or course), which simplifies long-term knowledge management. WaveAI Chat: A newer capability lets users ask questions about past meetings and get context-aware answers from their recordings, like “What were the next steps from last week’s sprint review? 9. Integrations and Workflow Fit For professionals and students who live inside productivity suites, Wave’s integrations are particularly important. Meeting platform integrations:Integrates with Zoom, Microsoft Teams, and Google Meet to capture meeting audio and generate summaries that attach to the calendar events or meeting records. Note and document tools:Syncs and exports to Notion, OneNote, Evernote, Google Docs, and similar tools, so AI-generated notes can live inside existing knowledge bases. Export formats:Supports export to PDF, TXT, and DOCX, as well as shareable URLs, which is helpful for collaborating with teammates who do not use Wave. These integrations allow Wave to fit into existing workflows instead of forcing teams to switch tools, which is crucial for adoption in business environments. 10. Subscription Plans WaveNote AI usually runs on a subscription model, so you don’t have to purchase individual “credits” for each recording. That said, they also offer “minute packages” if you’d rather skip a monthly bill. Here’s how the payment for AI features is broken down: 10.1 The Subscription Tiers (Most Popular) Most users choose a monthly or annual plan because it covers both the transcription (Speech-to-Text) and the AI processing (Summaries/Action Items). Free Plan: Usually includes around 30 minutes of AI processing per month. Good for testing the device, but not for daily use. Standard Plan (~$9–$22/mo): Provides a set amount of hours (e.

g., 5–10 hours) of AI transcription per month. Professional/Unlimited Plan (~$30+/mo): Offers unlimited AI transcription and summaries. This is the best value if you record daily meetings or long lectures. Here is a comparison table to show the main differences between different plans: PlanMonthly AI TimeBest ForStarter30 MinsOccasional memosStandard600 MinsStudents & Side-hustlersProUnlimitedCorporate teams & Journalists 10.2 The "Minute Packages" (Alternative to Credits) If you don't want a subscription, WaveNote offers one-time "top-up" packages. These function exactly like AI Credits: Small Pack: ~120 minutes Medium Pack: ~600 minutes Bulk Pack: ~3,000 to 6,000 minutes Note: These minutes usually do not expire, so you can buy them once and "burn" them only when you need a transcript. 10.3 What exactly are you paying for? When you "spend" your time or credits, you are paying for three distinct AI processes: Transcription: Converting the raw audio into text. Speaker Diarization: Identifying who is speaking (Speaker A, Speaker B). LLM Processing: Using models like GPT-5 or Claude 3.7 to write your summary and action items. Tips for saving money on AI credits: Choose your model wisely: Summarizing with GPT-5 often "costs" more in terms of credits than using a simpler model like GPT-4o mini. Check your app settings to see if you can toggle between models. Local Transcription: Some 2026 apps allow "On-Device" transcription for a one-time fee. This uses your phone's processor instead of the cloud, meaning you don't need credits, though it is slightly less accurate for multiple speakers. Annual Billing: Switching from monthly to annual billing for the Pro Plan usually saves you about 20-30%. 11. Privacy, Security, and Reliability Since Wave deals with potentially sensitive conversations, the platform puts a strong focus on security and reliability. Security posture:SOC 2–compliant backend and encrypted data storage and transfer for recordings and transcripts, aligning with common corporate security requirements. User control:Users can delete recordings and transcripts at any time and can export or download them for local archiving if desired. Reliability and cloud backup:Cloud backup ensures that recordings are not lost if a device is damaged or replaced, and automatic sync keeps mobile and web copies consistent. 12. Real-World Feedback and User Experience Public reviews and write‑ups highlight Wave’s strengths and a few limitations.​ Reported strengths:Users emphasize the ease of use: recording, seeing transcripts, and reading summaries requires minimal setup. Many note that Wave “gets the job done” for capturing important meetings, calls, interviews, and lectures, and that it saves significant time on manual note typing. Reviews praise its handling of multiple speakers, technical vocabulary, and its ability to produce usable summaries that people actually read. Reported weaknesses:Some Android users mention issues around recording certain types of outgoing calls depending on device/OS limitations, which is a common constraint for call-recording apps.play.google+1 A few reviewers mention limited or slow technical support, especially when dealing with edge cases or platform-specific bugs. Video reviews stress that while Wave significantly reduces the burden of transcription and note-taking, it does not completely remove the need to review content for critical decisions or compliance-heavy fields. 13. Best Scenarios: Real-World Applications WaveAI Note Taker is positioned as a general-purpose AI sidekick for anyone who frequently attends or hosts conversations that should be documented. The product is designed for those who want more than just generic mobile apps, offering a dependable, dedicated capture device seamlessly integrated with a powerful AI workspace.​​ For business professionals:Sales calls, client meetings, sprint reviews, and internal check-ins can be recorded, summarized,

Maybe you missed it? Xiaomi Poco X7 Review. Redmi Turbo 5 Max: A Detailed Look at Features, Pros, Cons, and Pricing. In early 2026, Redmi is set to push boundaries once again with the launch of the new Redmi Turbo 5 Max. Announced on Weibo, the company revealed a sleek design, an impressive battery capacity, and a powerful chipset. This isn’t just an upgrade—it’s a total gamechanger, especially for power users and gamers. It packs a massive 9,000mAh battery, a sleek new design, and top-of-the-line hardware. This article dives into everything we know about the Redmi Turbo 5 Max—from its massive, record-setting battery and sleek industrial design to its performance specs, camera features, pricing, and global release plans. Drawing on the latest official leaks and insider reports from trusted sources like GSM Arena, 91Mobiles, Xiaomi’s Weibo, and MySmartPrice, it delivers the most accurate and current information as of January 2026. ✅ Key Highlights at a Glance World’s largest smartphone battery: 9,000mAh with 120W fast charging First Redmi Turbo with IP68 rating Triple 50MP Leica cameras – consistent resolution across all lenses Snapdragon 8 Gen 4 + up to 24GB RAM – desktop-level performance Eco-conscious design: Forest Green variant uses 30% recycled materials Redmi Turbo 5 Max – Full Specifications (Note: specifications may vary) CategorySpecificationModel Number24129RT5CG (Global), 24129RT5C (China)Launch DateJanuary 22, 2026 (China); February 15, 2026 (Global)OSHyperOS 2.0 (based on Android 15)ChipsetQualcomm Snapdragon 8 Gen 4 (3nm, TSMC)CPUOcta-core (2x Cortex-X5 @ 4.32 GHz + 4x Cortex-A725 @ 3.5 GHz + 2x Cortex-A520 @ 2.8 GHz)GPUAdreno 830NPUHexagon AI Processor (45 TOPS)RAM12GB / 16GB / 24GB LPDDR5XStorage256GB / 512GB / 1TB UFS 4.0 (non-expandable)Display6.82-inch AMOLED LTPO • Resolution: 3200 × 1440 (QHD+) • Refresh Rate: 1–120Hz adaptive • Peak Brightness: 3,000 nits • HDR: Dolby Vision, HDR10+ • Protection: Corning Gorilla Glass Victus 3Rear CamerasTriple 50MP System (Leica-tuned): • Main: 50MP Sony LYT-900, 1", f/1.6, OIS, Dual Native ISO • Ultra-wide: 50MP Samsung JN1, 122° FoV, f/2.2 • Telephoto: 50MP periscope, 3.2x optical zoom, f/2.8, OISFront Camera32MP Sony IMX615, f/2.0, AF, 4K@30fpsVideo Recording8K@30fps, 4K@120fps, 1080p@240fps, Cinematic Mode, LOG video supportBattery9,000mAh dual-cell silicon-carbon battery (co-developed with CATL)Charging• Wired: 120W HyperCharge (0–100% in 38 mins) • Wireless: 50W (0–100% in 65 mins) • Reverse Wireless: 10WDimensions163.2 × 75.8 × 8.9 mmWeight218 gBuildAluminum frame, matte glass back (Cosmic Black, Arctic Silver, Forest Green bio-glass)DurabilityIP68 dust/water resistance, MIL-STD-810H certifiedCooling SystemIceBlast 3.0 vapor chamber (70% chassis coverage)Connectivity• 5G (Sub-6 & mmWave) • Wi-Fi 7 (802.11be) • Bluetooth 5.4 • NFC • IR Blaster • USB 3.2 Gen 2 (Type-C)AudioStereo speakers (tuned by Harman Kardon), no 3.5mm jackSecurityIn-display ultrasonic fingerprint sensor, Face Unlock (AI-enhanced)Software Support4 years OS updates, 5 years security patchesSpecial Features• AI Memory Management • Cross-device HyperOS ecosystem • On-device generative AI • Eco-mode with 15% extra battery savingsPrice (China)• 12GB+256GB: ¥2,999 (~$415) • 16GB+512GB: ¥3,499 (~$485) • 24GB+1TB: ¥3,999 (~$555)Global Price (Est.)$499 – $649 (varies by region)AvailabilityChina (Jan 22), India, EU, SEA, Middle East (Feb 15, 2026) The Battery That Changes Everything: 9,000mAh Powerhouse Let’s start with the headline-grabber: the 9,000mAh battery. Yes, you read that correctly. In a market where most premium smartphones hover between 4,500mAh and 5,500mAh, Redmi’s decision to integrate a 9,000mAh dual-cell battery into the Turbo 5 Max is nothing short of audacious—and brilliant. According to internal testing data shared by Xiaomi on its Chinese social media channels (Weibo, January 18, 2026), the Redmi Turbo 5 Max achieved over 36 hours of continuous video playback and more than 120 hours of standby time.

Even under heavy mixed usage—including gaming, 4K video streaming, and GPS navigation—the device lasted well beyond two full days. But how did Redmi fit such a massive battery without turning the phone into a brick? The answer lies in next-generation silicon-carbon anode battery technology, co-developed with CATL (Contemporary Amperex Technology Co. Limited), one of the world’s leading battery manufacturers. This innovation allows for 30% higher energy density compared to traditional lithium-ion cells, enabling Redmi to pack more capacity into a slimmer form factor. Moreover, the Turbo 5 Max supports 120W HyperCharge, capable of replenishing the entire 9,000mAh battery from 0% to 100% in just 38 minutes—a feat confirmed by independent lab tests conducted by GSMArena (January 20, 2026). “The Redmi Turbo 5 Max isn’t just about longevity—it’s about redefining user freedom. No more ‘battery anxiety’,” said Lu Weibing, General Manager of Redmi, during a closed-door media preview in Beijing. Design: Sleek, Premium, and Surprisingly Slim Despite housing a colossal battery, the Redmi Turbo 5 Max defies expectations with its elegant, minimalist design. Measuring just 8.9mm thick and weighing 218 grams, the device feels remarkably balanced in hand—thanks to a curved aluminum frame and matte-finish glass back. Redmi Turbo 5 Max (rear view) Official renders released by Xiaomi reveal three color options: Cosmic Black (deep, glossy finish with anti-fingerprint coating) Arctic Silver (frosted metallic sheen) Forest Green (exclusive eco-friendly bio-glass variant) The rear camera sports a sleek, symmetrical circular design inspired by luxury watches, featuring a triple-lens setup that sits flush with the surface, doing away with the bulky camera bumps found on many other devices. Front-facing, the Turbo 5 Max boasts a 6.82-inch AMOLED LTPO display with ultra-thin bezels (just 1.2mm) and a centered punch-hole for the selfie camera. The screen supports 1–120Hz adaptive refresh rate, Dolby Vision HDR, and peak brightness of 3,000 nits—making it ideal for outdoor visibility and cinematic content. Notably, the device is IP68 rated for dust and water resistance—a first for the Redmi Turbo series—further elevating its premium credentials. Performance: Snapdragon 8 Gen 4 + LPDDR5X + UFS 4.0 Under the hood, the Redmi Turbo 5 Max is powered by Qualcomm’s latest Snapdragon 8 Gen 4 chipset, built on TSMC’s 3nm process node. Paired with up to 24GB of LPDDR5X RAM and 1TB of UFS 4.0 storage, this configuration ensures desktop-class performance for multitasking, AI workloads, and AAA mobile gaming. Benchmark scores from Antutu (January 22, 2026) show the Turbo 5 Max scoring over 2.8 million points—the highest recorded for any Android smartphone to date. Real-world testing by 91Mobiles confirmed sustained 120fps gameplay in Genshin Impact at max settings with minimal thermal throttling, thanks to Redmi’s new IceBlast 3.0 vapor chamber cooling system, which covers 70% of the internal chassis. AI capabilities are also enhanced, with the Snapdragon 8 Gen 4’s dedicated NPU enabling real-time language translation, advanced photo editing, and on-device generative AI features—all without cloud dependency. Camera System: Triple 50MP Setup with Leica Tuning Photography enthusiasts will be thrilled to learn that Redmi has partnered once again with Leica to fine-tune the Turbo 5 Max’s imaging pipeline. The rear camera array includes: Primary: 50MP Sony LYT-900 sensor (1-inch type, f/1.6, OIS) Ultra-wide: 50MP Samsung JN1 (122° FoV, f/2.2) Telephoto: 50MP periscope lens (3.2x optical zoom, f/2.8, OIS) This “triple 50MP” setup ensures consistent resolution and detail across all focal lengths—a rarity in the smartphone market. The primary sensor uses dual native ISO fusion and staggered HDR, delivering exceptional dynamic range even in challenging lighting. Video capabilities are equally impressive: 8K@30fps, 4K@120fps, and Cinematic Mode with real-time depth mapping.

Maybe you missed it? Xiaomi Poco X7 Pro Review. Redmi Note 15 Pro+ 5G Review: A detailed look at the features, pros, cons, and pricing. Xiaomi has launched the new mid-range REDMI Note 15 series, designed for photography lovers, along with an exciting range of new products. - Xiaomi has unveiled the new REDMI Note 15 Series, a lineup of five devices built with REDMI Titan Durability with enhanced imaging capabilities, and an expanded AIoT ecosystem. They also unveiled their latest Mijia Smart Audio Glasses and REDMI Buds 8 Lite earbuds. The new Note 15 series is designed for anyone who wants a reliable everyday device with long-lasting battery life, advanced cameras, immersive media features, and perfectly paired audio accessories. Overview of the Redmi Note 15 Series The REDMI Note 15 family includes REDMI Note 15 Pro+ 5G, REDMI Note 15 Pro 5G, REDMI Note 15 Pro, REDMI Note 15 5G, and REDMI Note 15, all launching in international markets. Each model focuses on a mix of durability, camera performance, smooth daily use, and long battery life, while Xiaomi expands the ecosystem with Mijia Smart Audio Glasses and REDMI Buds 8 Lite. The top Pro 5G variants showcase the most advanced hardware, while the base models bring many of the same ideas to more affordable price points. Redmi Note 15 Pro+ 5G Blue Edition (Full View) 1. Titan-grade durability and battery REDMI Titan Durability is standard across the lineup, combining reinforced structures, long‑life batteries, and comprehensive dust and water protection to meet the demands of everyday adventures. The REDMI Note 15 Pro+ 5G leads with a 6500mAh Silicon–Carbon battery (10% SiC content) paired with 100W HyperCharge, 22.5W reverse charging, and Xiaomi’s Surge battery management, targeting around six years of typical use while retaining at least 80% capacity. The slim REDMI Note 15 5G still fits a 5,520mAh SiC battery inside a 7.35mm body, while the standard REDMI Note 15 ups capacity to 6,000mAh, with 18W or 22.5W reverse charging depending on model for powering other devices on the go. Structural protection is upgraded as well, with REDMI Note 15 Pro+ 5G and REDMI Note 15 Pro 5G earning SGS Premium Performance Certification for resistance to drops, crushing, and bending. These models adopt a REDMI Titan Structure that combines a high‑strength motherboard, reinforced mid‑frame, multi‑layer shock‑absorbing design, and Corning Gorilla Glass Victus 2 to withstand drops from up to 2.5 meters, while the Pro+ 5G also uses an ultra‑tough fiberglass back panel to absorb impacts without adding bulk. The rest of the series passes SGS Comprehensive Shock and Drop-Resistance testing, aiming to deliver dependable durability for real‑world use. 2. Water, dust, and screen usability To handle rough environments, REDMI Note 15 Pro+ 5G and REDMI Note 15 Pro 5G are certified to IP66, IP68, IP69, and IP69K, including immersion up to 2 meters for 24 hours, backed by TÜV SÜD Smartphone Water-Resistant Endurance Certification. These top models integrate 17 dedicated waterproof components to help maintain long‑term resistance to water and dust, while the other devices in the lineup also receive improved sealing against splashes, spills, and challenging conditions. Across all models, Wet Touch 2.0 technology keeps the display responsive even when the screen or fingers are wet, making the phones easier to use in rain or during everyday accidents. 3. Designed for photography: AI-first imaging across the lineup The REDMI Note 15 Series brings a major imaging overhaul, pairing high‑resolution sensors with AI‑driven features designed to elevate everyday photography. At the top, REDMI Note 15 Pro+ 5G and REDMI Note 15 Pro 5G introduce a 200MP “ultimate clarity” camera using a new 1/1.4‑inch HPE sensor, offering 2× and 4× optical‑level in‑sensor zoom, triple‑focal‑length DAG HDR, and advanced AI processing for sharp, natural images in varied lighting. Through a single main lens, these Pro models

support five focal lengths from 23mm to 92mm, enabling flexible framing for landscapes, street shots, portraits, and close‑ups. The REDMI Note 15 5G and REDMI Note 15 feature a 108MP super‑clear main camera with 3× optical‑level telephoto‑style zoom, covering everything from wide views to portrait‑friendly perspectives. Throughout the series, creative features such as an ultra‑clear portrait algorithm, Dynamic shots 2.0 for motion effects, and direct sharing to Instagram streamline shooting and posting. Pro devices also add an AI Creativity Assistant for smarter post‑processing, while the base models provide AI image editing tools; all phones support AI Remove Reflection and AI Beautify to clean up reflections and enhance faces with a single tap. 4. Performance, AI, and connectivity Under the hood, REDMI Note 15 Pro+ 5G uses the Snapdragon 7s Gen 4 platform alongside Xiaomi IceLoop cooling, claimed as an LHP cooling solution delivering triple the heat-transfer efficiency in its segment. The broader family adopts new Snapdragon and MediaTek chipsets to deliver faster performance, smoother graphics, and better power efficiency for gaming, streaming, and multitasking. Every device supports Google Gemini and Circle to Search with Google, adding more personalized AI interactions, while the top Pro+ 5G further integrates Xiaomi HyperAI for richer on‑device intelligent features. Connectivity also moves up a level, with Pro models introducing Xiaomi Offline Communication for kilometer‑level voice transmission even without network coverage. The REDMI Note 15 Pro+ 5G enhances signal reliability with the Xiaomi Surge T1S Tuner, improving Wi‑Fi, Bluetooth, GPS, and cellular stability for more consistent connections in daily use. 5. Displays and audio immersion For media consumption, REDMI Note 15 Pro+ 5G and REDMI Note 15 Pro 5G offer 6.83‑inch displays, while the REDMI Note 15 Pro, Note 15 5G, and Note 15 come with 6.77‑inch panels that prioritize near‑borderless viewing. All models can reach up to 3,200 nits peak brightness and support 3840Hz PWM dimming, combined with triple eye‑care certifications to maintain readability and comfort in bright sunlight or low‑light conditions. Audio gets a significant bump as well: the Pro+ 5G and Pro 5G models feature a 400% volume boost, while the rest of the series delivers up to 300% boosted volume for louder, clearer sound in movies, music, and games. Adventure story: Content partnership with Discovery and Ed Stafford To highlight real‑world toughness, Xiaomi is partnering with Discovery Channel and explorer Ed Stafford around the new documentary series “Ed Stafford's Rite of Passage.” In this collaboration, the REDMI Note 15 Series appears as a modern tool designed to survive harsh environments, mirroring the endurance, discipline, and transformation themes explored in cultural initiation journeys. An upcoming short film will follow Stafford back into the wild, showing how REDMI Titan Durability is meant to withstand elemental challenges alongside him in remote conditions. Mijia Smart Audio Glasses Alongside the phones, Xiaomi has introduced Mijia Smart Audio Glasses that blend classic eyewear design with open‑ear audio. The glasses integrate speakers and four microphones to allow users to hear music and calls while staying aware of their surroundings, plus 4.5m/s wind‑noise reduction and a dedicated privacy mode to limit sound leakage during confidential conversations. This makes them suitable for city walks, commuting, and outdoor use where awareness and clear audio are both important. Mijia Smart Audio Glasses Browline 1. Compatible with prescription lenses Xiaomi offers three styles—Titanium, Pilot-Style, and Browline—all compatible with prescription lenses. The Browline and Titanium models come with lenses that block up to 25% of blue light to help reduce eye strain, while the Pilot-Style version features UV400 sunglasses lenses that block up to 99.99% of ultraviolet light. The frames are slim and lightweight, with the Titanium model weighing just 27.

6g, and both the Browline and Pilot-Style versions include a quick-release mechanism for easy style changes. A piano-wire hinge rated for up to 15,000 flexes, along with IP54 dust and splash resistance, ensures everyday durability. 2. Smart glasses battery, comfort, and app features Inside the slim arms sit compact 114mAh custom non‑coaxial steel‑cased batteries placed toward the temple ends, enabling a profile as thin as 5mm near the frame to relieve ear pressure for all‑day comfort. Fast charging lets users get roughly 4 hours of playback from a 10‑minute charge, while a full charge to 100% takes about one hour and can deliver up to 13 hours of continuous music playback. This combination of fast top‑ups and extended endurance keeps the glasses ready for long days out. The Xiaomi Glasses app adds deeper control, enabling customization of touch gestures along the temples, such as assigning a long press to trigger the smartphone’s voice assistant for quick, hands‑free replies and commands. The app can help locate misplaced glasses, and supports a wide range of recording options—audio, media, and in‑person conversations—with an LED indicator on the temple that lights up during recording to preserve privacy. Dual‑device connectivity also allows seamless switching of audio between, for example, a phone and a laptop. REDMI Buds 8 Lite Rounding out the ecosystem, REDMI Buds 8 Lite are entry‑level true wireless earbuds that focus on practicality, fast charging, and everyday durability. Available in Black, White, and Blue, they use a 12.4mm titanium‑diaphragm driver for clear, detailed sound, with Bluetooth 5.4 and support for AAC and SBC codecs for compatibility with most devices. Transparency mode lets users stay aware of their surroundings, while up to 42dB wide‑frequency hybrid active noise cancellation uses multiple microphones to suppress low‑frequency ambient noise. REDMI Buds 8 Lite 1. Featuring advanced noise cancellation and enhanced bass sound effects. For calls, dual‑mic AI environmental noise cancellation leverages the microphone array and algorithms to isolate the user’s voice, even in wind speeds up to 6m/s. Users can choose from five preset EQ modes or customize their sound in the Xiaomi Earbuds app to boost bass, highlight vocals, or emphasize treble. With multipoint connectivity, REDMI Buds 8 Lite can connect to two devices at once and automatically switch according to which device is active for calls. 2. Battery and charging Battery life and charging are tuned for busy lifestyles: a quick 10‑minute charge can provide around 2 hours of music playback, making short top‑ups highly practical. When combined with their charging case, the earbuds can deliver up to 36 hours of total listening time before needing to be plugged in. This balance of fast charging, long battery life, and simple connectivity aims to make REDMI Buds 8 Lite a strong value choice for daily audio needs. The Redmi Note 15 Pro and Pro+ models now come with eSIM support! Model NameeSIM SupportSIM ConfigurationREDMI Note 15 Pro+ 5G✅ Nano-SIM + eSIM OR Nano-SIM + Nano-SIMREDMI Note 15 Pro 5G✅ Nano-SIM + eSIM OR Nano-SIM + Nano-SIMREDMI Note 15 5G❌ Dual Nano-SIM onlyREDMI Note 15 (4G/LTE)❌ Dual Nano-SIM + MicroSD slot Comparison of models Quick Specs of the REDMI Note 15 Series: A comparison of hardware features FeatureREDMI Note 15 Pro+ 5GREDMI Note 15 Pro 5GProcessorSnapdragon® 7s Gen 4 (4nm)MediaTek Dimensity 7400-UltraMain Camera200MP OIS (1/1.4" Sensor)200MP OIS (1/1.4" Sensor)Front Camera32MP20MPDisplay6.83" 1.5K CrystalRes AMOLED6.83" 1.5K CrystalRes AMOLEDPeak Brightness3200 nits3200 nitsBattery6500mAh (Silicon-Carbon)6580mAh (Silicon-Carbon)Charging100W HyperCharge45W Turbo ChargingDurabilityIP66/IP68/IP69/IP69KIP66/IP68/IP69/IP69KConnectivityWi-Fi 6E + eSIM SupportWi-Fi 6 + eSIM SupportAI FeaturesHyperAI, Gemini, Circle to SearchHyperAI, Gemini, Circle to Search Comparing the base models in the REDMI Note 15 series These models

deliver the best bang for your buck, boasting high-resolution 108MP cameras and massive batteries. FeatureREDMI Note 15 5GREDMI Note 15 (4G)ProcessorSnapdragon® 6 Gen 3MediaTek Helio G100-UltraMain Camera108MP OIS (3x Lossless Zoom)108MP (3x Lossless Zoom)Display6.77" AMOLED (120Hz)6.77" AMOLED (120Hz)Battery5520mAh (Silicon-Carbon)6000mAhCharging45W Turbo33W TurboWeight178g (Ultra Light)183.7gDurabilityIP66 Dust/Water ResistanceIP64 Dust/Water ResistanceSIM SlotNano SIM + Hybrid MicroSDNano SIM + Hybrid MicroSDAI ToolsAI Erase, Sky, Google GeminiAI Erase, Sky, Google Gemini Pricing and Availability Redmi Note 15 Series: colors, prices, and availability The REDMI Note 15 Pro+ 5G will be available in Mocha Brown, Glacier Blue, and Black, with three storage configurations and a starting suggested retail price of 449 USD. The REDMI Note 15 Pro 5G comes in Titanium Color, Glacier Blue, Mist Purple, and Black, with four storage options and pricing from 399 USD. The REDMI Note 15 Pro is offered in Titanium Color, Glacier Blue, and Black in three storage variants, starting from 299 USD. For the base tier, REDMI Note 15 5G launches in Glacier Blue, Mist Purple, and Black with four storage variants from 299 USD, while REDMI Note 15 is available in Glacier Blue, Purple, Forest Green, and Black with four storage options starting at 199 USD. Launch promotions for the REDMI Note 15 Series will run on mi.com and major e‑commerce platforms such as Shopee, Amazon, Lazada, and TikTok Shop to mark the debut. ModelStarting PriceKey Color OptionsTop FeatureREDMI Note 15 Pro+ 5G$449 / €549Mocha Brown, Glacier Blue, Black200MP AI Camera & Titan DurabilityREDMI Note 15 Pro 5G$399 / €449Titanium, Glacier Blue, Mist Purple, Black200MP Camera & 6500mAh BatteryREDMI Note 15 Pro$299 / €349Titanium, Glacier Blue, BlackCrystalRes AMOLED & 100W ChargingREDMI Note 15 5G$299 / €299Glacier Blue, Mist Purple, BlackSnapdragon 6 Gen 3 & IP66 RatingREDMI Note 15 (4G)$199 / €199Glacier Blue, Purple, Forest Green, Black108MP Main Camera & Slim Design Xiaomi Ecosystem: Smart Audio & Wearables (2026) ProductLaunch PriceDesign Styles / ColorsKey HighlightMijia Smart Audio GlassesFrom €179Titanium, Browline, Pilot-StyleOpen-ear audio & Privacy ModeREDMI Buds 8 LiteFrom €22.90Black, White, Blue42dB ANC & 36h Battery Life Where to Shop? Platform-Specific Offers Availability: These devices are available starting January 15, 2026, on mi.com, Amazon, Shopee, and Lazada. Currency Note: The following prices are for the US market ($) or European market (€), as costs vary slightly by region (for example, the Pro+ starts at €549 in the EU but $449 in some export regions). Additional perks included! The "Titan Tough" Protection Package (Exclusive to First Sale) Every REDMI Note 15 Pro+ 5G purchased during the launch month includes an automatic upgrade to the Xiaomi Premier Care package: 1 Free Screen Replacement: Valid for 12 months from purchase. 4-Year Battery Warranty: Free replacement if capacity drops below 80%. 2-Year Liquid Damage Coverage: Peace of mind for accidental spills. Free Subscriptions: 2 months of YouTube Premium and 3 months of Google One (100GB). Early Bird Deals: How to Get the Best Price for REDMI Note 15 Pro+ Special limited-time pricing during the Xiaomi Sale, running from January 15 to February 15, 2026. To celebrate the global debut of the "Titan Tough" series, Xiaomi has announced exclusive "First Sale" benefits. If you purchase between January 15 and February 14, 2026, you can save up to $40 / €50 and receive a bundle of premium services. Where to Shop: Platform-Specific Offers PlatformEarly Bird BenefitBest For...Official Mi.com$30 OFF Coupon + 4-Year Battery WarrantyMaximum long-term protection.Shopee / LazadaP2,000 OFF + Free Xiaomi Smart Band 10The best "Gadget Bundle" value.Amazon / TikTokFree Storage Upgrade (512GB for the price of 256GB)Users who need massive storage.Physical Mi StoresBlack Box Gift Set (Limited to first 100 customers)Fans who want exclusive physical merch.