Highlights:
  • Rack Height: 4U
  • Processor Supported: 2x Intel Xeon Scalable Family
  • Drive Bays: 24x 2.5" Hot-Swap
  • Supports up to 10x Double-Wide cards in a Single-Root complex
Contact sales for pricing

The TensorEX TS4-672702-DPN is a 4U rack mountable Deep Learning & AI server supporting 2x Intel Xeon Scalable processors and a maximum of 3 TB DDR4 memory. The TensorEX TS4-672702-DPN is a compute node designed and optimized for computing accelerators such as the NVIDIA® Tesla® GPUs. The TensorEX TS4-672702-DPN supports up to 10 double wide GPU cards on a single root complex PCIe bus to offer vast gains in processing time for the most supercomputing intensive applications, from cutting-edge rendering farms to the latest simulations in leading scientific research.

Features:

  • Supports two Intel Xeon processor scalable family (Skylake-SP)
  • Supports up to 3TB DDR4 System Memory
  • Full P2P communication between 10x PCIe devices
  • Supports 10x NVIDIA Tesla GPUs
  • 24 x 2.5" hot-swappable HDD bays
  • 2000W Redundant Titanium Level Power Supplies
  • 2x 10GBASE-T Network Adapter

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
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)
205 W
Chipset Manufacturer
Intel
Chipset Model
C622
Memory
Maximum Memory
1.5 TB
Memory Technology
DDR4 SDRAM
Memory Standard
DDR4-2666/PC4-21300
Number of Total Memory Slots
24
Controllers
SATA3
  • Via C622 chipset
Display & Graphics
Graphics Controller Manufacturer
ASPEED
Graphics Controller Model
AST2500 BMC
Network & Communication
Ethernet Technology
  • 10GBASE-T
I/O Expansions
PCI Express
  • 11x PCI-E 3.0 x16 slots (Supports 10x double-wide cards)
  • 1x PCI-E 3.0 x8 (in x16 slots)
  • Single root complex
Drive Bays
Hot-swap
  • 24x 2.5" Hot-swap drive bays
Interfaces/Ports
Total Number of USB Ports
4
Number of USB 3.0 Ports
4
Number of SATA Interfaces
10
LAN
  • 2x RJ45 10GBASE-T Ethernet LAN Ports
  • 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
2000 W
Certification
80 Plus Titanium
Physical Characteristics
Color
Black
Form Factor
Rack-mountable
Rack Height
4U
Height
7.0"
Width
17.2"
Depth
29"