Description
The TensorEX TS4-193475697 is a 8U rack mountable HGX H100 server supporting 2x AMD EPYC 9004 Series processors, 24x DDR5 memory, and 8x NVIDIA H100 GPUs (SXM5), with up to 900 GB/s NVLINK interconnect.
4th Generation AMD EPYC 9004™ series CPU
Up to 96 Cores of Unprecedented Performance and Efficiency
Data centers requiring the best speed, security, and scalability gravitate to AMD EPYC™. The 4th Generation AMD EPYC™ 9004 delivers leadership memory bandwidth, capacity, and next-generation IO with up to 160 PCIe5 lanes, and CXL. Train dense AI models, execute highly complex computations, or deploy thousands of VM with confidence.
- Average 2x generational performance uplift in Enterprise, Cloud, and HPC
- Various SKUs for core density, core performance, and TCO optimized
- Consolidate your data center and reduce your carbon footprint with exceptional performance-per-watt leadership and core density
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
Container EMLI
DIY EMLI
Specifications
- 9004-Series
- DDR5 SDRAM
- Via SoC
- Optional 10GBASE-T
- 8x PCI-E 5.0 x16 slots (Low-Profile)
- 2x PCI-E 5.0 x16 slots (Full-Height/Full-Length)
- 24x 2.5 hot-swap drive bays
- Default 12x 2.5″ NVMe drive bays
- Default 2x 2.5″ SATA drive bays
- Option for an additional 4x 2.5″ NVMe drive bays
- Optional 2x RJ45 10GBASE-T Ports
- 1x RJ45 Dedicated IPMI Port
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