Our deep learning systems ship with the latest AI development tools installed in a way that best suits your development needs, whether you prefer containerized environments or natively installed frameworks.
Desktops for Faster Deep Learning Training
NVIDIA AI Workstations - Multi-GPU Systems for AI Research
Start development and training of AI models with a purpose-built machine today.
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.
Pre-Installed Frameworks
Our systems come pre-loaded with TensorFlow, PyTorch, Keras, Caffe, RAPIDS, Docker, Anaconda, MXnet and more upon request.
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.
Great for a single developer
Upgrade GPUs as you growBase 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)
Best price/performance configuration
Suitable for most AI projectsBase 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)
Run multi-threaded applications easily
Train large modelsBase 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
Flexible Development Environments with Up-to-Date Frameworks
An EMLI Environment for Every Developer
Conda EMLI
Separated Frameworks
For developers who want pre-installed deep learning frameworks and their dependencies in separate Python environments installed natively on the system.
Container EMLI
Flexible. Reconfigurable.
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.
DIY EMLI
Simple. Clean. Custom.
For experienced developers who want a minimalist install to set up their own private deep learning repositories or custom builds of deep learning frameworks.
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.
ExploreInference
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.
Explore
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.
Partnerships
