Exxact Valence VWS-177978547-DPW 1x AMD Ryzen Threadripper - Deep Learning & AI Workstation

MPN: VWS-177978547-DPW
VWS-177978547-DPW
Highlights
  • Form Factor: Mid-Tower
  • Processor: 1x AMD Ryzen Threadripper processor
  • Drive Bays: 2x 5.25" External, 4x 2.5" Internal, 2x 2.5"/3.5" Internal
  • Supports up to 4x Double-Wide cards
VWS-177978547-DPW
VWS-177978547-DPW
VWS-177978547-DPW
VWS-177978547-DPW

Exxact Valence VWS-177978547-DPW 1x AMD Ryzen Threadripper - Deep Learning & AI Workstation

MPN: VWS-177978547-DPW
Highlights
  • Form Factor: Mid-Tower
  • Processor: 1x AMD Ryzen Threadripper processor
  • Drive Bays: 2x 5.25" External, 4x 2.5" Internal, 2x 2.5"/3.5" Internal
  • Supports up to 4x Double-Wide cards

The Valence VWS-177978547-DPW is a Deep Learning & AI Workstation supporting 1x AMD Ryzen Threadripper processor, a maximum of 128 GB DDR4 memory, and up to 4x Double-Wide cards.

The World's Fastest Deep Learning Workstation Right at Your Desk

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 Workstation, featuring NVIDIA GPU technology coupled 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:

  • NVIDIA DIGITS software providing powerful design, training, and visualization of deep neural networks for image classification
  • Pre-installed standard Ubuntu 18.04/20.04 w/ Exxact Machine Learning Image (EMLI)
  • Google TensorFlow software library
  • Automatic software update tool included
  • A turn-key workstation with superior PCIe peer to peer topology

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

Conda EMLI

Conda EMLI

Separated Frameworks
Container EMLI

Container EMLI

Flexible. Reconfigurable.
DIY EMLI

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