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
*Additional NGC (NVIDIA GPU Cloud) containers can be added upon request.
Simple. 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.
Accelerating Deep Learning Initiatives with NVIDIA Powered Data Center Platforms
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.
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.
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.