Customized Systems for Any Application, Any Scale
Powerful GPU systems enable researchers and small teams to create, train, and test deep learning models.
Single Users
Proof of Concept
Deep learning servers are recommended for those training larger models, requiring massive GPU compute power.
Deep Learning Teams
Development
The best option for larger organizations looking to scale out training or inference tasks.
Institutions
Full deployment
Deep Learning Platforms
Breakthrough Platforms at Your Fingertips
Gain peace of mind knowing that your system is ready for research the moment it's turned on. Each Exxact system goes through extensive validating and optimizing procedures before being shipped out. We pride ourselves on delivering turnkey solutions so you can spend less time configuring and more time researching.
Looking for software not mentioned here?
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 |
Utilize the Technology of Your Choice
NVIDIA GPU Solutions
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NVIDIA Clusters
Learn More »
AMD Deep Learning
Learn More »
Xilinx Deep Learning
Learn More »Build the Right System for Your Area of Research
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Deep Reinforcement Learning
Computer Vision
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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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