Highlights:
  • Rack Height: 10U
  • Processor Supported: 2x Intel Xeon Scalable family
  • Drive Bays: 16x 2.5" Hot-Swap NVMe
  • Supports 16x NVIDIA Tesla V100 32 GB SXM3 GPUs
Contact sales for pricing

The TensorEX TS4-144580094-DPN is a 10U rack mountable Deep Learning & AI server supporting 2x Intel Xeon Scalable family processors, a maximum of 3 TB DDR4 memory, and eight Tesla V100 32 GB Volta GPUs (SXM3), with NVSwitch powered by NVLink 2.4 TB/s aggregate speed.

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 DevBox, featuring NVIDIA GPU technology coupled with state-of-the-art NVSwitch powered by 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:

  • Supports two Intel Xeon processor scalable family
  • 16x Tesla V100 SXM3 32 GB (15.7 TFlops of single precision, 900 GB/s of memory bandwidth, and 32 GB of memory per board) GPUs
  • NVIDIA DIGITS software providing powerful design, training, and visualization of deep neural networks for image classification
  • Pre-installed standard Ubuntu 16 with Deep Learning software stack
  • Google TensorFlow software library
  • Automatic software update tool included
  • A turn-key server with up to 2.4TB/s aggregate speed of NVSwitch powered NVLink GPU-GPU interconnect

EMLI (Exxact Machine Learning Images)


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*Additional NGC (NVIDIA GPU Cloud) containers can be added upon request.

Conda EMLI

Separated Frameworks

Container EMLI

Flexible. Reconfigurable.

DIY EMLI

Simple. Clean. Custom.

Who is it for?

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

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.

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

Frameworks*

TensorFlow V1
TensorFlow V2
PyTorch
MXnet
Caffe
Caffe2
Chainer
Microsoft Cognitive Toolkit

Libraries*

NVIDIA cuDNN
NVIDIA Rapids
Keras
Theano
OpenCV

Software Environments

NVIDIA CUDA Toolkit
NVIDIA CUDA Dev Toolkit
NVIDIA Digits
Anaconda

Container Management

Docker

Drivers

NVIDIA-qualified Driver

Orchestration

Micro-K8s

Free upgrade availableFree upgrade availableFree upgrade available
Deep Learning NVIDIA GPU Solutions

Processor & Chipset
Number of Processors Supported
2
Processor Socket
LGA 3647
Processor Type
Xeon
Processor Supported
  • Bronze 31XX
  • Bronze 32XX
  • Silver 41XX
  • Silver 42XX
  • Gold 51XX
  • Gold 52XX
  • Gold 61XX
  • Gold 62XX
  • Platinum 81XX
  • Platinum 82XX
Thermal Design Power (TDP)
205 W
GPU
16x NVIDIA Tesla V100 32 GB Volta SXM3
Chipset Manufacturer
Intel
Chipset Model
C621
Memory
Maximum Memory
3 TB
Memory Technology
  • DDR4 SDRAM
  • DDR4 NVDIMM (Intel Optane DCPMM)
Memory Standard
DDR4-2933/PC4-23400
Number of Total Memory Slots
24
Controllers
SATA3
  • Via Intel C621 chipset
Display & Graphics
Graphics Controller Manufacturer
ASPEED
Graphics Controller Model
AST2500 BMC
Network & Communication
Ethernet Technology
  • 10GBASE-T
I/O Expansions
PCI Express
  • 16x PCI-E 3.0 x16 for RDMA via IB EDR
  • 2x PCI-E 3.0 x16 on motherboard
  • 2x PCI-E 3.0 x4 M.2 (2280, 22110)
Drive Bays
Hot-swap
  • 16x 2.5" NVMe Hot-swap
  • 6x 2.5" SATA3 Hot-swap
Interfaces/Ports
Total Number of USB 3.0 Ports
2 (front
Number of SATA Interfaces
6
Number of NVMe Interfaces
16
LAN
  • 2x RJ45 10GBASE-T Ethernet LAN Ports
  • 1x RJ45 Dedicated IPMI Port
Onboard Video
1x VGA Connector
COM Port
1x COM
Power Description
Number of Power Supplies
6
Redundant Power Supplies
Yes
Maximum Power Supply Wattage
3000 W
Certification
80 Plus Titanium
Physical Characteristics
Color
Black
Form Factor
Rack-mountable
Rack Height
10U
Height
17.2
Width
17.8"
Depth
27.75"