DeepSpeed
6.0#19 in deep learning softwareFree planFree planLinuxmacOSSelf-hosted
Visit| Fact | DeepSpeed | Lightning AI Studios |
|---|---|---|
| Integrations | The site lists integrations with Hugging Face Transformers, Accelerate, PyTorch Lightning and MosaicML. | The Studio documentation describes connecting S3 buckets and EFS volumes through Lightning Drive and importing models from Hugging Face and GitHub. |
| Intended users | The project describes its audience as deep learning researchers and practitioners working on large-scale training and inference. | The pricing page describes Free for students, researchers, and hobbyists; Pro for developers, researchers, and scientists; and Teams for research labs and small teams. |
| Purpose | DeepSpeed is a deep learning optimization library for distributed model training and inference. | AI Studio is a persistent, collaborative GPU cloud workspace for training models, running inference, building agents and AI apps, and coding together. |
DeepSpeed is aimed at deep-learning researchers and practitioners working on large-scale training and inference. It may suit Python users seeking distributed training, model parallelism or inference optimization.
The Free plan is described for students, researchers and hobbyists. Pro is aimed at developers, researchers and scientists, while Teams is described for research labs and small teams.