Exxact TensorEX 8U HGX H100 Server - 2x 4th/5th Gen Intel Xeon Scalable processor - TS4-117847628
The TensorEX TS4-117847628 is a 8U rack mountable HGX H100 server supporting 2x 4th Gen Intel Xeon Scalable family processors, 32x DDR5 memory slots, and 8x NVIDIA H100 GPUs (SXM5), with up to 900 GB/s NVLINK interconnect.
Training, building, and deploying Deep Learning and AI models can solve complex problems with less coding. Whether it's data collection, annotation, training, or evaluation, leverage the immense parallelism GPUs offer to parse, train, and evaluate at extremely high throughput. Process massive datasets faster with multi-GPU configurations to develop AI models that surpass any other form of computing.
Facilitate any stage of Scientific research, from data preparation and 2D Image Processing to conducting complex MD simulations. Leverage GPUs to speed up calculations and research and encourage the use of AI to solve complex problems Protein Folding, building new molecules, and exponentially accelerating genome sequencing.
Engineering and Product Design applications are notorious for their compute-intensive requirements. Your system should never hold you back from designing the next big thing. Leverage high core count CPUs, ample RAM, and the top-of-the-line GPUs to enable the most enjoyable design experience in CAD applications like Solidworks and simulation applications like ANSYS.
3D design, rendering, and real-time engines have solidified their place in media and entertainment, manufacturing, and architectural design. As digital assets get larger and more complex so should your system. Exxact curates the most competent workstation or server so you can focus on being creative with your designs.
4th & 5th Gen Intel Xeon Scalable Platinum, Gold, Silver, and Bronze
Same Platform, New Architecture, Drastically Performant
Built on a shared platform, 4th Gen and 5th Gen Intel Xeon Scalable Processors offer improved performance and energy efficiency, executing computations faster than ever before to lower TCO. Data centers can rely on platforms powered by Intel Xeon Scalable processors for HPC, analytics, and complex AI workloads.
- Wide range of SKUs that fit perfectly with your workload, big or small.
- Supporting DDR5 memory for higher bandwidth & PCIe 5.0 connectivity for increased throughput
- 5th Gen Intel Xeon Scalable features processors up to 64 cores
H100 SXM5 GPU Options
| Model | Standard Memory | Memory Bandwidth (GB/s) | CUDA Cores | Tensor Cores | Single Precision (TFLOPS) | Double Precision (TFLOPS) | Power (W) | Explore |
|---|---|---|---|---|---|---|---|---|
| H100 80 GB SXM5 | 80 GB HBM3 | 1555 | 18432 | 576 | 60 | 30 | 700 | --- |
GPUs have provided groundbreaking performance to accelerate deep learning research with thousands of computational cores and up to 100x application throughput when compared to CPUs alone. Exxact has developed the Deep Learning server, featuring NVIDIA GPU technology coupled with state-of-the-art NVLINK GPU-GPU interconnect technology, and a full pre-installed suite of the leading deep learning software, for developers to get a jump-start on deep learning research with the best tools that money can buy.
Features:
- NVIDIA DIGITS software providing powerful design, training, and visualization of deep neural networks for image classification
- Pre-installed standard Ubuntu 18.04/20.04 w/ Exxact Machine Learning Image (EMLI)
- Google TensorFlow software library
- Automatic software update tool included
- A turn-key server with NVLINK GPU-GPU interconnect topology.
An EMLI Environment for Every Developer
Conda EMLI
For developers who want pre-installed deep learning frameworks and their dependencies in separate Python environments installed natively on the system.
Container EMLI
For developers who want pre-installed frameworks utilizing the latest NGC containers, GPU drivers, and libraries in ready to deploy DL environments with the flexibility of containerization.
DIY EMLI
For experienced developers who want a minimalist install to set up their own private deep learning repositories or custom builds of deep learning frameworks.
About
The TensorEX TS4-117847628 is a 8U rack mountable HGX H100 server supporting 2x 4th Gen Intel Xeon Scalable family processors, 32x DDR5 memory slots, and 8x NVIDIA H100 GPUs (SXM5), with up to 900 GB/s NVLINK interconnect.
Training, building, and deploying Deep Learning and AI models can solve complex problems with less coding. Whether it's data collection, annotation, training, or evaluation, leverage the immense parallelism GPUs offer to parse, train, and evaluate at extremely high throughput. Process massive datasets faster with multi-GPU configurations to develop AI models that surpass any other form of computing.
Facilitate any stage of Scientific research, from data preparation and 2D Image Processing to conducting complex MD simulations. Leverage GPUs to speed up calculations and research and encourage the use of AI to solve complex problems Protein Folding, building new molecules, and exponentially accelerating genome sequencing.
Engineering and Product Design applications are notorious for their compute-intensive requirements. Your system should never hold you back from designing the next big thing. Leverage high core count CPUs, ample RAM, and the top-of-the-line GPUs to enable the most enjoyable design experience in CAD applications like Solidworks and simulation applications like ANSYS.
3D design, rendering, and real-time engines have solidified their place in media and entertainment, manufacturing, and architectural design. As digital assets get larger and more complex so should your system. Exxact curates the most competent workstation or server so you can focus on being creative with your designs.
4th & 5th Gen Intel Xeon Scalable Platinum, Gold, Silver, and Bronze
Same Platform, New Architecture, Drastically Performant
Built on a shared platform, 4th Gen and 5th Gen Intel Xeon Scalable Processors offer improved performance and energy efficiency, executing computations faster than ever before to lower TCO. Data centers can rely on platforms powered by Intel Xeon Scalable processors for HPC, analytics, and complex AI workloads.
- Wide range of SKUs that fit perfectly with your workload, big or small.
- Supporting DDR5 memory for higher bandwidth & PCIe 5.0 connectivity for increased throughput
- 5th Gen Intel Xeon Scalable features processors up to 64 cores
H100 SXM5 GPU Options
| Model | Standard Memory | Memory Bandwidth (GB/s) | CUDA Cores | Tensor Cores | Single Precision (TFLOPS) | Double Precision (TFLOPS) | Power (W) | Explore |
|---|---|---|---|---|---|---|---|---|
| H100 80 GB SXM5 | 80 GB HBM3 | 1555 | 18432 | 576 | 60 | 30 | 700 | --- |
GPUs have provided groundbreaking performance to accelerate deep learning research with thousands of computational cores and up to 100x application throughput when compared to CPUs alone. Exxact has developed the Deep Learning server, featuring NVIDIA GPU technology coupled with state-of-the-art NVLINK GPU-GPU interconnect technology, and a full pre-installed suite of the leading deep learning software, for developers to get a jump-start on deep learning research with the best tools that money can buy.
Features:
- NVIDIA DIGITS software providing powerful design, training, and visualization of deep neural networks for image classification
- Pre-installed standard Ubuntu 18.04/20.04 w/ Exxact Machine Learning Image (EMLI)
- Google TensorFlow software library
- Automatic software update tool included
- A turn-key server with NVLINK GPU-GPU interconnect topology.
An EMLI Environment for Every Developer
Conda EMLI
For developers who want pre-installed deep learning frameworks and their dependencies in separate Python environments installed natively on the system.
Container EMLI
For developers who want pre-installed frameworks utilizing the latest NGC containers, GPU drivers, and libraries in ready to deploy DL environments with the flexibility of containerization.
DIY EMLI
For experienced developers who want a minimalist install to set up their own private deep learning repositories or custom builds of deep learning frameworks.