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.
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.
Base Specs
CPU 1x Intel Core i9 Processor
GPU Up to 4x NVIDIA RTX 3090, RTX 3080, or RTX 3070 GPUs
MEM Up to 128GB System Memory
STO 1x 2TB NVMe SSD (OS & Data)
Base Specs
CPU 1x 3rd Gen AMD Ryzen Threadripper
GPU Up to 4x NVIDIA RTX 3090, RTX 3080, or RTX 3070 GPUs
MEM Up to 256GB System Memory
STO 1x 2TB NVMe SSD (OS & Data)
Base Specs
CPU 2x Intel Xeon Scalable Processors
GPU Up to 4x NVIDIA RTX 3090, RTX 3080, or RTX 3070 GPUs
MEM Redundant Power Supplies
STO 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.
Exxact Machine Learning Images
Preinstalled Developer-Ready Environment
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 |
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.
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