Exxact TensorEX 10U HGX B200 Server - 2x AMD EPYC 9005/9004-Series processor - TS4-154079096
The TensorEX TS4-154079096 is a 10U rack mountable HGX B200 server supporting 2x AMD EPYC 9005/9004-Series processors, 24x DDR5 memory slots, and 8x NVIDIA B200 GPUs (SXM), with up to 1.8 TB/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.
5th Generation AMD EPYC 9005â„¢ series CPU
Up to 192 Core, 382 Threads of Unprecedented Performance and Efficiency
Data centers requiring the best speed, security, and scalability gravitate to AMD EPYCâ„¢. The 5th Generation AMD EPYCâ„¢ delivers leadership memory bandwidth, capacity, and next-generation I/O with up to 160 PCIe 5.0 lanes and CXL 2.0 for system memory expansion. Train dense AI models, execute highly complex simulations, and power your zero-downtime data center with confidence.
- Highly density EPYC processors with up to 192 Zen 5c Cores (EPYC 9965) or 128 traditional Zen 5 cores (EPYC 9755).
- Extraordinarily performant EPYC processors boosting up to 5.00GHz on 64 cores (EPYC 9575F).
- Expansive stack of processors for targeting your unique workload
- Consolidate your data center and reduce your carbon footprint with core density and efficiency.
B200 SXM GPU Options
| Model | Standard Memory | Memory Bandwidth (TB/s) | CUDA Cores | Tensor Cores | Single Precision (PFLOPS) | Double Precision (TFLOPS) | Power (W) | Explore |
|---|---|---|---|---|---|---|---|---|
| B200 192 GB SXM | 192 GB HBM3e | 4.1 | 16896 | 528 | 2.25 Dense, 4.5 Sparse | 40 | 1000 | --- |
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 TS4-154079096 is a 10U rack mountable HGX B200 server supporting 2x AMD EPYC 9005/9004-Series processors, 24x DDR5 memory slots, and 8x NVIDIA B200 GPUs (SXM), with up to 1.8 TB/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.
5th Generation AMD EPYC 9005â„¢ series CPU
Up to 192 Core, 382 Threads of Unprecedented Performance and Efficiency
Data centers requiring the best speed, security, and scalability gravitate to AMD EPYCâ„¢. The 5th Generation AMD EPYCâ„¢ delivers leadership memory bandwidth, capacity, and next-generation I/O with up to 160 PCIe 5.0 lanes and CXL 2.0 for system memory expansion. Train dense AI models, execute highly complex simulations, and power your zero-downtime data center with confidence.
- Highly density EPYC processors with up to 192 Zen 5c Cores (EPYC 9965) or 128 traditional Zen 5 cores (EPYC 9755).
- Extraordinarily performant EPYC processors boosting up to 5.00GHz on 64 cores (EPYC 9575F).
- Expansive stack of processors for targeting your unique workload
- Consolidate your data center and reduce your carbon footprint with core density and efficiency.
B200 SXM GPU Options
| Model | Standard Memory | Memory Bandwidth (TB/s) | CUDA Cores | Tensor Cores | Single Precision (PFLOPS) | Double Precision (TFLOPS) | Power (W) | Explore |
|---|---|---|---|---|---|---|---|---|
| B200 192 GB SXM | 192 GB HBM3e | 4.1 | 16896 | 528 | 2.25 Dense, 4.5 Sparse | 40 | 1000 | --- |
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.