#gpu solution

If your business does any creative graphic designing, video editing or VFX effects, you need powerful workstations or servers to produce superior quality output in the least possible time. Your growth and survival in the market depends on it.

With over twenty individual renders nodes to choose from, Supermicro is one of the leading brands in the market. Supermicro post-production storage servers or GPU workstations have high computational density eliminating speed constraints when producing crucial animation or visualisations.

Digicor’s team of professionals truly understand the complex challenges thrown up by the latest software you use for your everyday workflows. Our render-intensive hardware product solutions are best-in-breed for scaling VFX, graphics, videos, as well as, animation rendering

Benefits of Supermicro Systems:

Speed to generate high-resolution, animation, post-production workflows in a huge variety of short-term as well as long-term projects.

Eliminate complex bottlenecks of post-production workflows.

Helps artists unleash their creativity while meeting tight deadlines.

Industries we serve:

Media & Entertainment

Research & Education

Mining

Science & Technology

Our Most Popular Products: 1) SUPERMICRO HIGH-DENSE COMPUTE: SBE-720E + SBI-7228R

Ideal for: Post Production Dense Compute Server

Chassis Configuration: 7U Enclosure chassis, 10 hot-plug both Intel based Twin blades; 2x 2.5″ H/S Bays per node

Primary Processor: 2x socket R3 (LGA 2011) supports, Intel® Xeon® processor E5-2600, v4†/ v3 family; QPI up to 9.6GT/s

2) SUPERMICRO POST PRODUCTION COMPUTE: SYS-2029TP-HTR

Ideal for: Post Production Compute Server

Chassis Configuration: 6 x 2.5″ SAS/SATA hot-swap drive bays per node

Primary Processor: 2 x Intel® Xeon® Scalable Processors Single Socket P (LGA 3647) supported, CPU TDP support 165W

3) SUPERMICRO POST PRODUCTION WORKSTATION: SYS-7049GP-TRT

Ideal for: Post Production GPU Workstation

Chassis Configuration: 8 x 3.5″ SAS/SATA hot-swap drive bays

Primary Processor: 2 x Intel® Xeon® Scalable Processors Single Socket P (LGA 3647) supported, CPU TDP support 205W

4) SUPERMICRO POST PRODUCTION STORAGE: SYS-847X11DPI

Ideal For: Post Production Storage Server

Chassis Configuration: 36 x 3.5″ SAS/SATA hot-swap drive bays, optional 2x 2.5″ Hot-swap SAS Drive Bays on the rear side of Chassis

Primary Processor: 2 x Intel® Xeon® Scalable Processors Single Socket P(LGA 3647) supported, CPU TDP support 205W

The Digicor Difference!

Graphical Processing Units (GPUs), once only needed by gamers, are fast becoming the next big thing in computing. For Machine learning (ML) and Artificial Intelligence (AI) applications, multiple GPU are a requirement. Like high speed graphics, ML requires a large number of matrix multiplication operations per second and the GPU is a processor with thousands of cores, ideal for the task.

The rise of the GPU has not resulted in the death of existing CPUs. The CPU still has a place. The powerful blend of both CPU and GPU is a perfect choice for a business that wants to use technology to aid their decision-making process and drive future insights. Our GPU enabled solutions include:

Supermicro SYS-1029GQ-TRT : Ideal for high-performance compact GPU compute nodes

Supermicro SYS-7049GP-TRT :Ideal for High-Performance GPU Tower workstations

Supermicro SYS-4028GR-TR: Ideal for extreme performance, high-density GPU compute nodes

What sets us apart?

At Digicor, we offer robust products, services, and solutions to help our clients realise their technology needs. We deliver end-to-end GPU solutions enabling our clients with rapid operations to achieve their business goals.

While some fast-growing technologies like artificial intelligence (AI) have been garnering much media attention of late – and we are always reading about concepts such as Big Data analytics – you may not realize that such computing capabilities are now available cost-effectively by utilizing the technology found in computer gaming consoles. Complex computing applications in science and engineering, such as fluid dynamics and 3D modeling, can now be processed more quickly using Supermicro GPU Servers – an affordable hardware.

Not long ago, complex mathematical modeling, simulation, and large-scale data manipulation required a massively expensive supercomputer. Today, the humble graphical processor aka GPU Solutions we are familiar with from real-time computer games is being increasingly used to perform much more complex tasks.

Graphical processor units (GPUs) were initially developed as an efficient way to manipulate computer graphics. Unlike general-purpose CPU’s, GPU has a highly parallel processor structure boosting its efficiency to handle complex algorithms which require processing of large volume of data parallel. High-performance GPU cards like NVidia GTX 1080, Tesla or Titan V can be installed in a rack-mount server, creating a server for compute-intensive applications.

The power of GPU servers

It is becoming increasingly common to use high computing GPU servers to run individual compute kernels, turning the parallel computational power of a modern graphics accelerator into general-purpose computing power, as opposed to being used solely to do graphical operations. For math-intensive or high-power operations or calculations or for data which require massive graphics operations, high-performance GPU computing servers are your ultimate go-to option. Using GPU Solution it is now possible for business enterprises, universities and research institutions to realize what would have been termed ‘supercomputing’ capabilities only a few years ago at a fraction of the cost of historical supercomputers.

Because GPUs offer the ability to simultaneously perform large numbers of parallel tasks, it makes them suitable for any high-complexity computing application involving the manipulation of large amounts of data. In contrast, conventional CPUs are better at sequential processing involving branching and decision processes. Applications that may have taken days to run on a conventional CPU-based system, when re-coded to take advantage of one or more GPUs, can have their runtime reduced to minutes.

For example, a typical Intel Core i7-6700K (Skylake) CPU has four cores and is capable of around 200 GFLOPs/s (floating-point operations per second). In contrast, a commodity GPU such as the NVidia GTX1080 has 2560 cores and can perform at well over 5000 GFLOPs/s. Installing multiple GPU cards in a GPU server increases the processing power proportionally further.

Applications for GPUs

Some common applications that are best performed on GPU architectures can be found in scientific research, engineering simulations, image processing and ‘big data’ analytics.

Science and engineering – Computational fluid dynamics (CFD), molecular dynamics, genome sequencing, mechanical simulation, electromagnetic field interactions, quantum electrodynamics, and digital twin modeling of complex engineered systems.

Image processing – Registration, interpolation, feature detection, recognition, filtering

Data analysis – Databases, sorting and searching, data mining, machine learning, artificial intelligence (AI).

Example applications that benefit well from parallel GPU architectures include:

·         ANSYS (engineering design and simulation)

·         Fluent (fluid dynamics)

·         ANSYS Maxwell (electromagnetic field simulation)

·         NVidia CUDA (general purpose programming)

·         Tensorflow (machine learning)

·         AutoCAD (3D design)

Digicor solutions

Digicor offers a range of rack systems from Supermicro that can be configured as GPU servers with commodity GPU cards.

·Supermicro SYS-1029GQ-TRT:  Rack-mount 1 RU server supporting up to four GPU cards.

·Supermicro SYS-7049GP-TRT: Standalone (tower) server supporting up to six GPU cards.

·Supermicro SYS-4029GP-TRT: Rack-mount 4 RU server supporting up to eight GPU cards.