DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Are you the maintainer?
Claim this page →Deepspeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
01 / Summary
About Deepspeed.
02 / Discussion CREDIBILITY-GATED
Discussion
Reading is open to everyone. Posting and voting need a verified identity or a GitHub grade of B or higher.
- No discussions yet.
03 / Related
More around Deepspeed.
Similar tools
Diffusers
Library of pretrained diffusion models for generating images, audio, and 3D structures, for inference or training
-
RunPod
GPU cloud offering Pods, autoscaling Serverless workers, multi-node Clusters and a repo-backed Hub for one-click model endpoints.
TensorRT LLM
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs.
Luminal
Rust inference compiler that lowers static graphs of ~15 primitive ops straight to CUDA/Metal, with a torch.compile backend.
04 / Build
Build with Deepspeed.
Browse the catalog for frameworks, tools, and harnesses, each scored on real GitHub credibility.
Get Deepspeed →