Highlights:
  • Form Factor: 4U Rackmountable / Tower
  • Processor: 2x Intel Xeon Scalable family
  • Drive Bays: 4x 3.5"/2.5" Hot-Swap
  • Up to 5x Double-Wide cards
Contact sales for pricing

The TensorEX TWS-1686525-DPN is a Deep Learning NVIDIA GPU workstation supporting 2x Intel Xeon Scalable Family processors, a maximum of 768 GB DDR4 memory, and up to 4x NVIDIA Double-Wide GPUs.

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 TensorEX TWS-1686525-DPN, featuring NVIDIA GPU 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 2x Intel Xeon Scalable Family processors (Skylake-SP)
  • 4x NVIDIA Tesla, Quadro, TITAN, or GeForce 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 libarary
  • Automatic software update tool included
  • Optional Deep Learning Studio Desktop Software

NVIDIA Tesla GPU Options

ModelStandard MemoryMemory Bandwidth (GB/s)CUDA CoresTensor CoresSingle Precision (TFLOPS)Double Precision (TFLOPS)Power (W)Explore
A100 40 GB PCI-E 4.040 GB HBM2e1555691243219.59.7400Specs
V100S 32 GB PCI-E 3.032 GB HBM21134512064016.48.2250Specs
V100 32 GB PCI-E 3.032 GB HBM29005120640147250Specs
V100 16 GB PCI-E 3.016 GB HBM29005120640147250Specs
P100 16 GB PCI-E 3.016 GB HBM27323584-9.34.7250Specs
P100 12 GB PCI-E 3.012 GB HBM25493584-9.34.7250Specs
T4 PCI-E 3.016 GB GDDR632025603208.10.2475Specs
P4 PCI-E 3.08 GB GDDR51922560-5.50.1775Specs

NVIDIA Quadro GPU Options

ModelStandard MemoryMemory Bandwidth (GB/s)CUDA CoresTensor CoresSingle Precision (TFLOPS)Double Precision (TFLOPS)Power (W)Explore
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.

NVIDIA TITAN GPU Options

ModelStandard MemoryMemory Bandwidth (GB/s)CUDA CoresTensor CoresSingle Precision (TFLOPS)Double Precision (TFLOPS)Power (W)Explore
TITAN RTX24 GB GDDR6672460857616.30.51280Specs

NVIDIA GeForce GPU Options

ModelStandard MemoryMemory Bandwidth (GB/s)CUDA CoresTensor CoresSingle Precision (TFLOPS)Double Precision (TFLOPS)Power (W)Explore
GeForce RTX 2080 Ti11 GB GDDR6616435254414.20.37260Specs
GeForce RTX 20808 GB GDDR6448294436810.60.28225Specs
GeForce RTX 20708 GB GDDR644823042886.50.20185Specs

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
Number of UPI Links
3
Thermal Design Power (TDP)
Up to 205W
Chipset Manufacturer
Intel
Chipset Model
C621
Memory
Maximum Memory
768 GB
Memory Technology
DDR4 SDRAM
Memory Standard
DDR4-2666/PC4-21300
Number of Total Memory Slots
12
Controllers
SATA3
  • Via C621 chipset
  • RAID 0, 1, 5, 10
Display & Graphics
Graphics Controller Manufacturer
ASPEED
Graphics Controller Model
AST2500 BMC
Network & Communication
Ethernet Technology
  • 10GBASE-T
I/O Expansions
PCI Express
  • 5x PCI-E 3.0 x16 slots (Supports Double-Wide cards)
  • 1x PCI-E 3.0 x16 slot
  • 5x PCI-E 3.0 x8 slot
Drive Bays
Hot-Swap
4x 3.5"/2.5" drive bays
Peripheral
3x 5.25" drive bays
Interfaces/Ports
Total Number of USB Ports
4
Number of USB 3.0 Ports
4 (2x front, 2x rear)
Number of SATA Interfaces
  • 4x SATA3 Ports
NVMe
  • 2x M.2 (22110/2280 PCI-E & SATA interface)
LAN
  • 2x RJ45 10GBASE-T Ethernet LAN Ports
  • 1x RJ45 Dedicated IPMI Port
Onboard Video
1x VGA Connector
Power Description
Number of Power Supplies
2
Redundant Power Supplies
Yes
Maximum Power Supply Wattage
2000 W
Certification
80 Plus Platinum
Physical Characteristics
Color
Black
Form Factor
Rack-mountable / Tower
Rack Height
4U
Height
16.8"
Width
6.9"
Depth
27.5"