Highlights:
  • Form Factor: 4U
  • Processor: 2x Intel Xeon Scalable family
  • Drive Bays:24x 2.5" Hot-Swap
  • Up to 10x PCI-E 4.0 x16 Double-Wide cards
Contact sales for pricing

The TensorEX TS4-133524070-DPN is a 2U rack mountable Deep Learning & AI server supporting 2x Intel Xeon Scalable family processors, a maximum of 8 TB DDR4 memory, and ten double-wide Tesla 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 TS4-133524070-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
  • 10x Tesla double-wide 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 up to 600GB/s NVLINK interconnect

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

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
N/A
Processor Type
Xeon
Processor Supported
  • N/A
Number of UPI links
N/A
Thermal Design Power (TDP)
N/A
Chipset Manufacturer
Intel
Chipset Model
N/A
Memory
Maximum Memory
8 TB
Memory Technology
  • DDR4 SDRAM
  • DDR4 NVDIMM (Intel Optane DCPMM)
Memory Standard
DDR4-3200/PC4-25600
Number of Total Memory Slots
32
Controllers
SATA3
  • RAID 0, 1, 5, 10
Display & Graphics
Graphics Controller Manufacturer
ASPEED
Graphics Controller Model
AST2600 BMC
Network & Communication
Ethernet Technology
  • N/A
I/O Expansions
PCI Express
  • 12x PCI-E 4.0 x16 slots (Supports 10x double-wide cards)
  • Single or Dual root complex
Drive Bays
Hot-swap
  • 24x 2.5" Hot-swap drive bays
Interfaces/Ports
Total Number of USB Ports
N/A
Number of SATA Interfaces
24
LAN
  • 1x RJ45 IPMI dedicated LAN Port
Onboard Video
1x VGA Connector
Power Description
Number of Power Supplies
4
Redundant Power Supplies
Yes (2+2)
Maximum Power Supply Wattage
N/A
Certification
N/A
Physical Characteristics
Color
Black
Form Factor
Rack-mountable
Rack Height
4U
Height
7.0"
Width
17.2"
Depth
29"