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NVIDIA AI Workstations - Multi-GPU Systems for AI Research

Start development and training of AI models with a purpose-built machine today.

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Multi-GPU Performance

Leverage the latest NVIDIA GPUs including the RTX 3090/3080/3070, RTX A6000, RTX A5000, TITAN RTX, and more to accelerate AI development.

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Pre-Installed Frameworks

Our systems come pre-loaded with TensorFlow, PyTorch, Keras, Caffe, RAPIDS, Docker, Anaconda, MXnet and more upon request.

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Standard 3 Year Warranty

Have peace of mind, focus on what matters most, knowing your system is backed by a 3 year warranty and support.

Find the Right Fit for Your Needs

Entry-Level
VWS-1542881-DPW
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Starting at

$3,700

Base Specs
CPU 1x Intel Core i9 Processor
GPU Up to 4x NVIDIA RTX 3090, RTX 3080, or RTX 3070 GPUs
MEM Up to 128GB System Memory
STO 1x 2TB NVMe SSD (OS & Data)
Mid-Range
VWS-150628029-DPW
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Starting at

$4,300

Base Specs
CPU 1x 3rd Gen AMD Ryzen Threadripper
GPU Up to 4x NVIDIA RTX 3090, RTX 3080, or RTX 3070 GPUs
MEM Up to 256GB System Memory
STO 1x 2TB NVMe SSD (OS & Data)
High-End
TS4-672693-DPN
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Starting at

Let's talk.

Base Specs
CPU 2x Intel Xeon Scalable Processors
GPU Up to 8x NVIDIA A100 GPUs
MEM 12x 32GB Memory
STO 1x 1TB SSD (OS) 1x 2TB SSD (Data)

Not sure what you need?

Let us know what kind of project you have planned. We can help you decide.

Exxact Machine Learning Images

Preinstalled Developer-Ready Environment

We understand every development environment is different, so shouldn't you have the option to choose what's best for you? All EMLI (Exxact Machine Learning Images) environments are available in the latest Ubuntu or CentOS Linux versions, and are built to perform right out of the box.

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Find Your Perfect Deep Learning Environment with EMLI

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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 Lifecycle

NVIDIA Powered Data Center Platforms

Training

With deep neural networks becoming more complex, training times have increased dramatically, resulting in lower productivity and higher costs. Exxact's deep learning infrastructure technology featuring NVIDIA GPUs significantly accelerates AI training, resulting in deeper insights in less time, significant cost savings, and faster time to ROI.

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Inference

Data center managers must make tradeoffs between performance and efficiency. A single inference server from Exxact can replace multiple commodity CPU servers for deep learning inference applications and services, reducing energy requirements and delivering both acquisition and operational cost savings.

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Accelerate Deep Learning Initiatives

NVIDIA DGX™ A100

The universal system for all AI workloads, offering unprecedented compute density, performance and flexibility in the world’s first 5 petaFLOPS AI system. Order yours today.

Partnered with Leaders in Innovation

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