Exxact TensorEX 7U HGX H100 Server – 2x 4th/5th Gen Intel Xeon Scalable processor – TS4-158291321

$0.00

Highlights

Rack Height:
7U

Processor:
2x 4th/5th Gen Intel Xeon Scalable family

Drive Bays:
18x 2.5″ NVMe Hot-Swap

Supports:
8x NVIDIA H100 SXM5 GPUs
Categories: ,

Description

The TensorEX TS4-128391944 is a 7U rack mountable HGX H100 server supporting 2x 4th/5th Gen Intel Xeon Scalable family processors, 32x DDR5 memory slots, and 8x NVIDIA H100 GPUs (SXM5), with up to 900 GB/s NVLINK interconnect.

AI & Deep Learning

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.

Scientific Research

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 & Simulation

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.

Design and Visualization

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.

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

Conda EMLI

Separated FrameworksFor developers who want pre-installed deep learning frameworks and their dependencies in separate Python environments installed natively on the system.

Container EMLI

Container EMLI

Flexible. Reconfigurable.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

DIY EMLI

Simple. Clean. Custom.For experienced developers who want a minimalist install to set up their own private deep learning repositories or custom builds of deep learning frameworks.

 

Processor & Chipset

Number Of Processors Supported : 2
Processor Socket : Socket E LGA-4677
Processor Type : Xeon
Processor Supported
  • Bronze 34XX
  • Bronze 35XX
  • Silver 44XX
  • Silver 45XX
  • Gold 54XX
  • Gold 55XX
  • Gold 64XX
  • Gold 65XX
  • Platinum 84XX
  • Platinum 85XX
  • Max 94XX
  • Max 95XX
Thermal Design Power (TDP) : 350 W
GPU : 8x NVIDIA H100 SXM5
Chipset Manufacturer : Intel
Chipset Model : C741

Memory

Memory Technology
  • DDR5 SDRAM
  • DDR5 NVDIMM (Intel Optane 300 series)
Memory Standard : DDR5-5600/PC4-44800
Number Of Total Memory Slots : 32

Display & Graphics

Graphics Controller Manufacturer : ASPEED
Graphics Controller Model : AST2600 BMC

Network & Communication

Ethernet Technology
  • Optional OCP

I/O Expansions

PCI Express
  • 2x PCI-E 5.0 x16 OCP 3.0 slots (SFF)
  • 10x PCI-E 5.0 x16 OCP 3.0 slots (TSFF)

Drive Bays

Hot-Swap
  • 18x 2.5 NVMe hot-swap drive bays

Interfaces/Ports

Total Number Of USB 3.0 Ports : 3 (2x Front, 1x Rear)
LAN
  • 1x RJ45 Dedicated Management Port
Onboard Video : 1x Mini DisplayPort Connector
COM : 1x Micro USB (Rear)

Power Description

Number Of Power Supplies : 6
Redundant Power Supplies : Yes (3+3)
Maximum Power Supply Wattage : 4000 W
Certification : 80 Plus Titanium

Physical Characteristics

Color : Black
Form Factor : Rack-mountable
Rack Height : 7U
Height : 12.12″
Width : 17.63″
Depth : 34.88

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