Supported Software

EMLI: Exxact Machine Learning Images
EMLI: Exxact Machine Learning Images
Deep Learning & AI

EMLI: Exxact Machine Learning Images

A customizable production ready, open source machine learning environment for accelerating AI research prototyping and production deployment. Coupled with friendly, easy to use development environments and frameworks like PyTorch, NVIDIA cuDNN, Caffe2, TensorFlow, and more.

EMLI Software
Exxact Machine Learning Images

Flexible Development Environments with Up-to-Date Frameworks

Our deep learning systems ship with the latest AI development tools installed in a way that best suits your development needs, whether you prefer containerized environments or natively installed frameworks. Whether it's image recognition, data annotation, LLM training, or whatever your AI project entails, Exxact provides an EMLI environment for every developer.

EMLI
Pre-Installed Frameworks & Toolchain

Data Annotation Tools

Data annotation is the process of categorizing and labeling data for an AI/ML model to understand specific information, which in turn acts like a human to make decisions and take action. Whether it's bounding boxes, semantic segmentation, keypoint annotation, or other image labeling, Exxact provides an EMLI environment for every developer.

An EMLI Environment for Every Developer

Conda EMLI

Conda EMLI

Separated Frameworks

For developers who want pre-installed deep learning frameworks and their dependencies in separate Python environments installed natively on the system.


Container EMLI

Container EMLI

Flexible. Reconfigurable.

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.


DIY EMLI

DIY EMLI

Simple. Clean. Custom.

For experienced developers who want a minimalist install to set up their own private deep learning repositories or custom builds of deep learning frameworks.