Exxact TensorEX 4U HGX A100 Server - 2x AMD EPYC processor - TS4-103003323
The TensorEX TS4-103003323 is a 4U rack mountable HGX A100 server supporting 2x AMD EPYC 7002/7003 Series processors, 32x DDR4 memory slots, and 8x NVIDIA A100 Ampere GPUs (SXM4), with up to 600 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, visualizing structural biology, to conducting complex MD simulations. Leverage GPUs to speed up calculations and research, and encourage the use of AI to solve or accelerate complex workflows such as protein structure prediction, building new molecules, and exponentially accelerating genome sequencing.
Engineering and Simulation software suites are notorious for their computationally intensive requirements. Your system should never hold you back from designing and refining the next big thing. Leverage high core count CPUs, ample RAM, and the top-of-the-line GPUs to accelerate CFD, FEA, electronics simulation, and more.
Running 3D design, rendering, and immersive visualization workloads has solidified their place in media and entertainment, simulation training, architectural design, and more. As digital assets get larger and more complex, your system should handle that intensity. Exxact workstation and server platforms are configurable to address your performance needs so you can focus on being creative, innovative, and productive.
More Cores, More Cache, More Performance
AMD EPYC Processors Ignite EPYC Performance
Data centers that require the best performance, security, and scalability gravitate to AMD EPYCâ„¢. AMD EPYCâ„¢ processors are built to handle large scientific and engineering datasets - ideal for compute-intensive modeling and advanced analysis techniques. AMD EPYCâ„¢ enables fast time-to-results for HPC.
- Exceptional performance per watt and per-core performance
- 3D V-Cacheâ„¢ delivers breakthrough on-die memory with up to 768MB of L3 cache (available only on 7003X-series EPYC)
NVIDIA A100 Tensor Core GPU
Blistering Double Precision Accelerator for AI & HPC
NVIDIA A100 introduces double-precision Tensor Cores, providing the most significant milestone since the introduction of double-precision computing in GPUs for HPC. This enables researchers to reduce a 10-hour, double-precision simulation running on NVIDIA V100 Tensor Core GPUs to just four hours on A100.
- Accelerates and enables the most serious HPC and data center workloads
- With 80GBs of High Bandwidth Memory (HBM2e), A100 never skips a beat
A100 SXM4 GPU Options
| Model | Standard Memory | Memory Bandwidth (GB/s) | CUDA Cores | Tensor Cores | Single Precision (TFLOPS) | Double Precision (TFLOPS) | Power (W) | Explore |
|---|---|---|---|---|---|---|---|---|
| A100 80 GB SXM4 | 80 GB HBM2e | 2039 | 6912 | 432 | 19.5 | 9.7 | 400 | --- |
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 TS4-103003323 is a 4U rack mountable HGX A100 server supporting 2x AMD EPYC 7002/7003 Series processors, 32x DDR4 memory slots, and 8x NVIDIA A100 Ampere GPUs (SXM4), with up to 600 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, visualizing structural biology, to conducting complex MD simulations. Leverage GPUs to speed up calculations and research, and encourage the use of AI to solve or accelerate complex workflows such as protein structure prediction, building new molecules, and exponentially accelerating genome sequencing.
Engineering and Simulation software suites are notorious for their computationally intensive requirements. Your system should never hold you back from designing and refining the next big thing. Leverage high core count CPUs, ample RAM, and the top-of-the-line GPUs to accelerate CFD, FEA, electronics simulation, and more.
Running 3D design, rendering, and immersive visualization workloads has solidified their place in media and entertainment, simulation training, architectural design, and more. As digital assets get larger and more complex, your system should handle that intensity. Exxact workstation and server platforms are configurable to address your performance needs so you can focus on being creative, innovative, and productive.
More Cores, More Cache, More Performance
AMD EPYC Processors Ignite EPYC Performance
Data centers that require the best performance, security, and scalability gravitate to AMD EPYCâ„¢. AMD EPYCâ„¢ processors are built to handle large scientific and engineering datasets - ideal for compute-intensive modeling and advanced analysis techniques. AMD EPYCâ„¢ enables fast time-to-results for HPC.
- Exceptional performance per watt and per-core performance
- 3D V-Cacheâ„¢ delivers breakthrough on-die memory with up to 768MB of L3 cache (available only on 7003X-series EPYC)
NVIDIA A100 Tensor Core GPU
Blistering Double Precision Accelerator for AI & HPC
NVIDIA A100 introduces double-precision Tensor Cores, providing the most significant milestone since the introduction of double-precision computing in GPUs for HPC. This enables researchers to reduce a 10-hour, double-precision simulation running on NVIDIA V100 Tensor Core GPUs to just four hours on A100.
- Accelerates and enables the most serious HPC and data center workloads
- With 80GBs of High Bandwidth Memory (HBM2e), A100 never skips a beat
A100 SXM4 GPU Options
| Model | Standard Memory | Memory Bandwidth (GB/s) | CUDA Cores | Tensor Cores | Single Precision (TFLOPS) | Double Precision (TFLOPS) | Power (W) | Explore |
|---|---|---|---|---|---|---|---|---|
| A100 80 GB SXM4 | 80 GB HBM2e | 2039 | 6912 | 432 | 19.5 | 9.7 | 400 | --- |
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.