Find out what sets our systems apart from the rest.
The Best Deep Learning Servers in the Business
Scalability, Performance, and Reliability. These terms define what Exxact Deep Learning Workstations and Servers are. Exxact Deep Learning Workstations and Servers are backed by an industry leading 3 year warranty, dependable support, and decades of systems engineering expertise.
Multi-GPU Performance
Leverage the latest NVIDIA GPUs including RTX 2080 Ti, TITAN RTX, Quadro RTX 8000, Tesla V100S and more to accelerate AI development.
Pre-Installed Tools
Our systems come pre-loaded with TensorfFow, PyTorch, Keras, Caffe, Theano, RAPIDS, Docker, 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.
Find the Right Fit for Your Needs
Exxact Deep Learning Workstations
- 1x Intel Core i9
- 2x NVIDIA RTX 2080 Ti
- 4x 16GB Memory
- 1x 2TB NVMe SSD (OS & Data)
- 1x Intel Core i9
- 4x NVIDIA RTX 2080 Ti
- 4x 16GB Memory
- 1x 2TB NVMe SSD (OS & Data)
- 2x Intel Xeon Scalable Processors
- 4x NVIDIA RTX 2080 Ti
- 12x 16GB Memory
- 1x 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.
Tell us what you want to do.
EMLI (Exxact Machine Learning Images): 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 environments are available in the latest Ubuntu or CentOS Linux versions, and are built to perform right out of the box.
| 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 |
Truly Powerful Deep Learning on Your Desktop
Exxact conducts several deep learning benchmarks across a broad range of deep learning tasks, with multiple GPU configurations. Convolutional Neural Network (CNN) Models such as ResNets, VGG, Inception, Alexnet, and more. For Natural Language Processing we benchmark Transformer models including BERT.
Exxact Deep Learning Workstation (1x Intel Core i7-7820X 3.6GHZ CPU, 132GB DDR4, 4xNVIDIA Quadro RTX 8000, 480 GB SSD), Ubuntu 18.04, NVIDIA DRIVER 410.79, CUDAVersion 10, Python 2.7, TensorFlow 1.14
Find Out More About How Our Systems Help You Solve the World's Biggest Problems
Deep Learning Blog
Deep Learning Benchmarks Comparison 2019: RTX 2080 Ti vs. TITAN RTX vs. RTX 6000 vs. RTX 8000 Selecting the Right GPU for your Needs
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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
Read the post »Deep Learning eBook
Get Started with Deep Learning
Read the post »Case Studies
Lost It! - Nutritional mindfulness promoted by robust data processing and analytics.
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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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