#aiaccelerators

Growing enterprise AI adoption, rising demand for accelerated computing, and hyperscale data center investments are driving significant transformation in the global GPU server market. The global GPU server market is witnessing rapid momentum as enterprises, cloud providers, and research institutions increasingly invest in high-performance computing infrastructure to support artificial…

OpenAI is shifting gears into custom AI chips — and it’s a big deal. Partnering with Broadcom, the plan targets up to 10 GW of compute for future AI “factories.” Translation: less dependency on Nvidia, more control over cost, supply, and performance. If you care about model latency, training budgets, and time-to-market, this move could reshape the AI stack from silicon to data center.

We broke down the strategy (chips, packaging, supply chain, power, and risks) in a fast, no-fluff read here: 👉 https://aiinovationhub.com/openai-custom-ai-chipsw-aiinnovationhub-com/

The Data Center Accelerator market is rapidly evolving, driven by the rising demand for enhanced computing power and low-latency data processing across industries. This sector stands at the forefront of next-generation data center technologies, encompassing advances in hardware acceleration, AI integration, and cloud infrastructure optimization.

Market Size and Overview

The Global Data Center Accelerator Market size is estimated to be valued at USD 7,330 million in 2025 and is expected to reach USD 33,541.7 million by 2032, exhibiting a compound annual growth rate (CAGR) of 22.1% from 2025 to 2032.

Data Center Accelerator Market Forecast is propelled by increasing adoption of AI-powered applications, cloud migration, and edge computing. The data center accelerator market report highlights significant market dynamics such as rising investments in high-performance accelerators and expanding market scope across diverse sectors.

Data Center Accelerator Market - https://www.coherentmarketinsights.com/market-insight/data-center-accelerator-market-5476

Edge AI Accelerator Market Analysis: Opportunities, Innovations, and Growth Potential Through 2034 Global Edge AI Accelerator Market size and share is currently valued at USD 7.60 billion in 2024 and is anticipated to generate an estimated revenue of USD 110.21 billion by 2034, according to the latest study by Polaris Market Research. Besides, the report notes that the market exhibits a robust…

AMD Radeon RX 7700 XT is a good upper mid-range graphics card for 1440p and 4K. AMD RDNA 3 architecture provides new features and smooth gaming.

Performance Analysis

Mostly for high-refresh-rate 1440p gaming, the AMD Radeon RX 7700 XT excels.

1440p Gaming:

The RX 7700 XT runs most modern games smoothly at 1440p at high settings. It competes with the RTX 4070 and overpowers the 4060 Ti in rasterised jobs.

Ray Tracing:

The RX 7700 XT trails NVIDIA in demanding ray tracing games despite AMD's RDNA 3 upgrades. Using FidelityFX Super Resolution and customised Ray Accelerators, numerous games may be played.

FSR: FidelityFX Super Resolution

AMD's upscaling aids RX 7700 XT. Higher frame rates without visual impact make demanding games playable at higher resolutions or with ray tracing. The card supports FSR 1, FSR 2, and FSR 3, which adds frame generation for compatible games.

4K Games:

AMD Radeon RX 7700 XT can handle 4K gaming with less demanding games with tweaked settings and FSR. A more powerful GPUs from the RX 7000 series would be better for constant frame rates at native 4K with maximum settings.

Important Features

The AMD Radeon RX 7700 XT has several features to improve gameplay and user experience:

Ray Accelerators and AI Accelerators perform higher per watt with RDNA 3 Architecture.

Radeon Super Resolution (RSR) and FSR (1, 2, and 3) boost speed and look in AMD FidelityFX Suite.

Smart Access Memory (SAM) improves performance on AMD Ryzen CPUs and motherboards.

AV1 hardware accelerates streaming and content creation.

DisplayPort 2.1: Latest display standards for high resolutions and refresh rates.

Cooling and Power Use

The 245W RX 7700 XT needs good cooling. Partner card makers like ASUS, ASROCK, Gigabyte, and Sapphire offer distinctive designs with effective cooling to maintain performance and reduce noise. For reliable functioning, use a 700W power source.

Market Positioning

In the higher mid-range of graphics cards, the AMD Radeon RX 7700 XT offers 1440p gamers a solid price-to-performance ratio. Its major competitor is NVIDIA's GeForce RTX 4060 Ti, however it's a good alternative that often rasterises better. The RX 7700 XT is a good alternative for budget-conscious fans because the RTX 4070 boosts performance but costs more.

Radeon RX 7700 XT Cost

AMD Radeon RX 7700 XT USD pricing vary by retailer, availability, and incentives. Recent reports indicate,

Amazon charges $515. Card originally cost $449 USD. Late 2024–early 2025 marketing was $349–$353.

The AMD Radeon RX 7700 XT will cost $470 to $550 USD at major retailers on May 18, 2025. Always compare retailer prices and discounts.

In conclusion

Cloud-Based Enterprise AI from Intel and IBM. To assist businesses in scaling AI, Intel and IBM will implement Gaudi 3 AI accelerators on IBM Cloud.

Gaudi 3 AI Accelerator

The worldwide deployment of Intel Gaudi 3 AI accelerators as a service on IBM Cloud is the result of an announcement made by IBM and Intel. Anticipated for release in early 2025, this product seeks to support corporate AI scalability more economically and foster creativity supported by security and resilience.

Support for Gaudi 3 will also be possible because to this partnership with IBM’s Watsonx AI and analytics platform. The first cloud service provider (CSP) to use Gaudi 3 is IBM Cloud, and the product will be offered for on-premises and hybrid setups.

Intel and IBM

“AI’s true potential requires an open, cooperative environment that gives customers alternatives and solutions. are generating new AI capabilities and satisfying the need for reasonably priced, safe, and cutting-edge AI computing solutions by fusing Xeon CPUs and Gaudi 3 AI accelerators with IBM Cloud.

Why This Is Important: Although generative AI may speed up transformation, the amount of computational power needed highlights how important it is for businesses to prioritize availability, performance, cost, energy efficiency, and security. By working together, Intel and IBM want to improve performance while reducing the total cost of ownership for using and scaling AI.

Gaudi 3

Gaudi 3’s integration with 5th generation Xeon simplifies workload and application management by supporting corporate AI workloads in data centers and the cloud. It also gives clients insight and control over their software stack. Performance, security, and resilience are given first priority as clients expand corporate AI workloads more affordably with the aid of IBM Cloud and Gaudi 3.

IBM’s Watsonx AI and data platform will support Gaudi 3 to improve model inferencing price/performance. This will give Watsonx clients access to extra AI infrastructure resources for scaling their AI workloads across hybrid cloud environments.

“IBM is dedicated to supporting Intel customers in driving innovation in AI and hybrid cloud by providing solutions that address their business demands. According to Alan Peacock, general manager of IBM Cloud, “Intel commitment to security and resilience with IBM Cloud has helped fuel IBM’s hybrid cloud and AI strategy for Intel enterprise clients.”

Intel Gaudi 3 AI Accelerator

“The clients will have access to a flexible enterprise AI solution that aims to optimize cost performance by utilizing IBM Cloud and Intel’s Gaudi 3 accelerators.” They are making possible new AI business prospects available to their customers so they may test, develop, and implement AI inferencing solutions more affordably.

IBM and Intel

How It Works: IBM and Intel are working together to provide customers using AI a Gaudi 3 service capability. IBM and Intel want to use IBM Cloud’s security and compliance features to assist customers in a variety of sectors, including highly regulated ones.

Scalability and Flexibility: Clients may modify computing resources as required with the help of scalable and flexible solutions from IBM Cloud and Intel, which may result in cost savings and improved operational effectiveness.

Improved Security and Performance: By integrating Gaudi 3 with IBM Cloud Virtual Servers for VPC, x86-based businesses will be able to execute applications more securely and quickly than they could have before, which will improve user experiences.

What’s Next: Intel and IBM have a long history of working together, starting with the IBM PC and continuing with Gaudi 3 to create corporate AI solutions. General availability of IBM Cloud with Gaudi 3 products is scheduled for early 2025. In the next months, stay out for additional developments from IBM and Intel.

Intel Gaudi 3: The Distinguishing AI

Introducing your new, high-performing choice for every kind of workplace AI task.

An Improved Method for Using Enterprise AI

The Intel Gaudi 3 AI accelerators are designed to withstand rigorous training and inference tasks. They are based on the high-efficiency Intel Gaudi platform, which has shown MLPerf benchmark performance.

Support AI workloads from node to mega cluster in your data center or in the cloud, all running on Ethernet equipment you probably already possess. Intel Gaudi 3 may be crucial to the success of any AI project, regardless of how many accelerators you require one or hundreds.

Developed to Meet AI’s Real-World Needs

With the help of industry-standard Ethernet networking and open, community-based software, you can grow systems more flexibly thanks to the Intel Gaudi 3 AI accelerators.

Adopt Easily

Whether you are beginning from scratch, optimizing pre-made models, or switching from a GPU-based method, using Intel Gaudi 3 AI accelerators is easy.

Designed with developers in mind: To quickly catch up, make use of developer resources and software tools.

Encouragement of Both New and Old Models: Use open source tools, such as Hugging Face resources, to modify reference models, create new ones, or migrate old ones.

Included PyTorch: Continue using the library that your team is already familiar with.

Simple Translation of Models Based on GPUs: With the help of their specially designed software tools, quickly transfer your current solutions.

Ease Development from Start to Finish

Take less time to get from proof of concept to manufacturing. Intel Gaudi 3 AI Accelerators are backed by a robust suite of software tools, resources, and training from migration to implementation. Find out what resources are available to make your AI endeavors easier.

Scale Without Effort: Integrate AI into everyday life. The goal of the Intel Gaudi 3 AI Accelerators is to provide even the biggest and most complicated installations with straightforward, affordable AI scaling.

Increased I/O: Benefit from 33 percent greater I/O connection per accelerator than in H100,4 to allow for huge scale-up and scale-out while maintaining optimal cost effectiveness.

Constructed for Ethernet: Utilize the networking infrastructure you currently have and use conventional Ethernet gear to accommodate growing demands.

Open: Steer clear of hazardous investments in proprietary, locked technologies like NVSwitch, InfiniBand, and NVLink.

Boost Your AI Use Case: Realize the extraordinary on any scale. Modern generative AI and LLMs are supported by Intel Gaudi 3 AI accelerators in the data center. These accelerators work in tandem with Intel Xeon processors, the preferred host CPU for cutting-edge AI systems, to provide enterprise performance and dependability.