Efficient Training for Big Models.

An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

A simple, performant and scalable Jax LLM!

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Generative AI framework built for researchers and PyTorch developers working on Large Language Models (LLMs), Multimodal Models (MMs), Automatic Speech Recognition (ASR), Text to Speech (TTS), and Computer Vision (CV) domains.

Ongoing research training transformer models at scale.