Exxact TensorEX 8U HGX B200 Server - 2x AMD EPYC 9005/9004-Series processor - TS4-142487900
The TensorEX TS4-142487900 is a 8U 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, 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.
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.
B300 SXM GPU Options
| Model | Standard Memory | Memory Bandwidth (TB/s) | CUDA Cores | Tensor Cores | Single Precision (PFLOPS) | Double Precision (TFLOPS) | Power (W) | Explore |
|---|---|---|---|---|---|---|---|---|
| B300 288 GB SXM | 288 GB HBM3e | 8 | 153600 | 528 | 18 | 10 | 1400 | --- |
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 TS4-142487900 is a 8U 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, 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.
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.
B300 SXM GPU Options
| Model | Standard Memory | Memory Bandwidth (TB/s) | CUDA Cores | Tensor Cores | Single Precision (PFLOPS) | Double Precision (TFLOPS) | Power (W) | Explore |
|---|---|---|---|---|---|---|---|---|
| B300 288 GB SXM | 288 GB HBM3e | 8 | 153600 | 528 | 18 | 10 | 1400 | --- |
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.