The TensorEX TS4-144580094-DPN is a 10U rack mountable Deep Learning & AI server supporting 2x Intel Xeon Scalable family processors, a maximum of 3 TB DDR4 memory, and eight Tesla V100 32 GB Volta GPUs (SXM3), with NVSwitch powered by NVLink 2.4 TB/s aggregate speed.

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 DevBox, featuring NVIDIA GPU technology coupled with state-of-the-art NVSwitch powered by NVLink GPU-GPU 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:

• Supports two Intel Xeon processor scalable family
• 16x Tesla V100 SXM3 32 GB (15.7 TFlops of single precision, 900 GB/s of memory bandwidth, and 32 GB of memory per board) GPUs
• NVIDIA DIGITS software providing powerful design, training, and visualization of deep neural networks for image classification
• Pre-installed standard Ubuntu 16 with Deep Learning software stack
• Google TensorFlow software library
• Automatic software update tool included
• A turn-key server with up to 2.4TB/s aggregate speed of NVSwitch powered NVLink GPU-GPU interconnect

EMLI (Exxact Machine Learning Images)

		Most Popular
Compare *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 available	Free upgrade available	Free upgrade available

See What’s Inside