Highlights:
  • Rack Height: 4U
  • Processor: 1x Intel Core X-Series
  • Drive Bays: 8x 3.5" Hot-Swap
  • Supports up to 4x Double-Wide cards
Contact sales for pricing

The TensorEX TS4-1642659-DPN is a 4U rack mountable Deep Learning & AI server supporting 1x Intel Core X-Series processor and a maximum of 128 GB DDR4 memory.

GPUs have provided groundbreaking performance to accelerate deep learning research with thousands of computational cores and up to 100x application throughout when compared to CPUs alone. Exxact has developed the TensorEX TS4-1642659-DPN, featuring NVIDIA GPU technology with state-of-the-art PCIe peer to peer 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:

  • 1x Intel® Core™ X-Series processor
  • 4x NVIDIA Quadro GPUs.
  • NVIDIA DIGITS software providing powerful design, training, and visualization of deep neural networks for image classification
  • Pre-installed standard Ubuntu 18.04 w/ Deep Learning software stack
  • Google TensorFlow software library
  • Automatic software update tool included
  • A turn-key server with superior PCIe peer to peer topology

NVIDIA Quadro GPU Options

ModelStandard MemoryMemory Bandwidth (GB/s)CUDA CoresTensor CoresSingle Precision (TFLOPS)Double Precision (TFLOPS)Power (W)Explore
RTX A600048 GB GDDR676810752336TBDTBD300Specs
A4048 GB GDDR669610752336TBDTBD300Specs
Quadro GV10032 GB HBM2870512064014.87.9250Specs
Quadro GP10016 GB HBM27173584-10.35.2235Specs
Quadro RTX 800048 GB GDDR6672460857616.30.51295Specs
Quadro RTX 8000 (Passive)48 GB GDDR6624460857614.90.47250Specs
Quadro RTX 600024 GB GDDR6624460857616.30.51295Specs
Quadro RTX 6000 (Passive)24 GB GDDR6624460857614.90.47250Specs
Quadro RTX 500016 GB GDDR6870307238411.20.35200Specs
Quadro RTX 40008 GB GDDR641623042887.10.22160Specs
Quadro P600024 GB GDDR5X4323840-120.39250Specs
Quadro P500016 GB GDDR52882560-8.90.28180Specs

* Passive GPUs only for select systems that support passive cooling.

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
1
Processor Socket
LGA 2066
Processor Type
  • Core X-Series
Processor Supported
  • Core i5
  • Core i7
  • Core i9
Chipset Manufacturer
Intel
Chipset Model
X299
Memory
Maximum Memory
  • 128 GB (8-Core and above CPU)
  • 64 GB (4-Core CPU)
  • Core i9
Memory Technology
DDR4 SDRAM
Memory Standard
DDR4-2666/PC4-21300
Number of Total Memory Slots
8
Controllers
Controller Type
SATA3
RAID Supported
Yes, Intel Rapid Storage Technology
RAID Levels
0, 1, 5, 10
Network & Communication
Ethernet Technology
1000BASE-T
Number of Network (RJ-45) Ports
2
I/O Expansions
PCI Express
  • 7x PCI-E 3.0 x16 slots (single x16 or dual x16/x16 or triple x16/x16/x16 or quad x16/x16/x16/x16 or seven x16/x8/x8/x8/x8/x8/x8, supports 4x double-wide cards)
Drive Bays
Hot-Swap
8x 3.5" drive bays
External
3x 5.25" drive bays
Interfaces/Ports
Total Number of USB Ports
15
Number of USB 3.1 Ports
11 (8x rear, 3x header)
Number of USB 2.0 Ports
4 (rear)
Number of SATA Interfaces
8
NVMe
  • 1x M.2 PCIe 3.0 x4 Socket 3, with M key, type 2242/2260/2280/22110 storage device
  • 1x M.2 PCIe 3.0 x4 Socket 3, with M key, type 2242/2260/2280 storage device
  • 2x U.2 connector
LAN
  • 2x RJ45 Gigabit Ethernet LAN Ports
Power Description
Number of Power Supplies
1
Redundant Power Supplies
Yes
Maximum Power Supply Wattage
1200 W
Certification
80 Plus Platinum
Physical Characteristics
Color
Black
Form Factor
Rack-mountable
Rack Height
4U
Height
7"
Width
18.2"
Depth
26.5"