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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.

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Standard AI Workstation

Starting at


Solution value property imageGreat for a single developer
Solution value property imageUpgrade GPUs as you grow
Base Specs
CPU1x Intel Core i9 Processor
GPUUp to 4x NVIDIA RTX 3090, RTX 3080, or RTX 3070 GPUs
MEMUp to 256GB System Memory
STO1x 2TB NVMe SSD (OS & Data)
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AMD Threadripper AI Workstation

Starting at


Solution value property imageBest price/performance configuration
Solution value property imageSuitable for most AI projects
Base Specs
CPU1x 3rd Gen AMD Ryzen Threadripper
GPUUp to 4x NVIDIA RTX 3090, RTX 3080, or RTX 3070 GPUs
MEMUp to 256GB System Memory
STO1x 2TB NVMe SSD (OS & Data)
Solution image
Dual CPU AI Workstation

Starting at


Solution value property imageRun multi-threaded applications easily
Solution value property imageTrain large models
Base Specs
CPU2x 3rd Gen Intel Xeon Scalable Processors
GPUUp to 4x NVIDIA RTX 3090, RTX 3080, or RTX 3070 GPUs
MEMRedundant Power Supplies
STO1x 1TB SSD (OS) 2x 2TB HDD (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.

emli software

Find Your Perfect Deep Learning Environment with EMLI

Most Popular


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

Conda EMLI

Conda EMLI

Separated Frameworks
Container EMLI

Container EMLI

Flexible. Reconfigurable.


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.


TensorFlow V1
TensorFlow V2
Microsoft Cognitive Toolkit



Software Environments


Container Management



NVIDIA-qualified Driver



Free upgrade availableFree upgrade availableFree upgrade available
Deep Learning Lifecycle

NVIDIA Powered Data Center Platforms


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.



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.


ai inference cycle
Accelerate Deep Learning Initiatives


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.

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Partnered with Leaders in Innovation

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