Multi-GPU Performance
Leverage the latest NVIDIA GPUs including the RTX 3090/3080/3070, RTX A6000, RTX 8000/6000, 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.
AI Workstations for Any Workload
NVIDIA AI Workstations
The industry standard deep learning workstation, engineered to meet any budget.
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Budget Friendly Options
Up to 4x NVIDIA GPUs
Highly Customizable
AMD Ryzen AI Workstations
Powerful GPU workstations featuring 3rd Generation AMD Ryzen Threadripper CPUs.
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Built for Extreme AI Dev
Up to 4x NVIDIA GPUs
Ideal for CPU Intensive Tasks
Data Science Workstations
Transform massive amounts of data into insights with an NVIDIA-powered data science workstation.
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Up to 4x NVIDIA RTX GPUs
Optimized for Data Science
NVIDIA Support Service
NVIDIA DGX Station
Designed for your office environment, and built on the same software stack powering all NVIDIA DGX systems.
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NVIDIA DGX Software Stack
NVIDIA DGX Support
Whisper Quiet GPU Cooling
EMLI: Pre-installed 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.
Find Your Perfect Deep Learning Environment with EMLI
| Most Popular | |||
Compare*Additional NGC (NVIDIA GPU Cloud) containers can be added upon request. |  Conda EMLISeparated Frameworks |  Container EMLIFlexible. Reconfigurable. |  DIY EMLISimple. 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 |
Accelerating Deep Learning Initiatives with 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 accelerate AI training, resulting in deeper insights in less time, significant cost savings, and faster time to ROI.
Explore Our Training Platforms
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.
Explore Our Inference Platforms
Explore Related Resources
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Advantages of On-Premises Deep Learning and the Hidden Costs of Cloud Computing
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HGX-2 Benchmarks for Deep Learning in TensorFlow (16x V100)
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Hands-on TensorFlow Tutorial: Train ResNet-50 From Scratch Using the ImageNet Dataset
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Get Started with Deep Learning
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Getting Started With AI Software
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Implementing AI Solutions for Every Industry
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The 5 Essential Steps to Get Started in AI
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Lost It! - Nutritional mindfulness promoted by robust data processing and analytics.
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Accelerating Epigenetic Research at UPenn’s Perelman School of Medicine with Exxact’s GPU Workstations
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The solution from Exxact allowed us to iterate quickly during the development of Snap It to the point where model development became interactive. We were so impressed with both the hardware and responsiveness of the support team that we recently made further investments with Exxact by purchasing a TensorEX 8-GPU turn-key deep learning solution.
Dr. Edward LoweDirector of Data Science
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