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Accelerate

🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP a

Our verdict

Not reviewed yet

We have not reviewed Accelerate yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About Accelerate

Accelerate is a Python library that simplifies launching and training PyTorch models across various devices and distributed configurations. It provides automatic mixed precision (including fp8) and easy-to-configure FSDP and DeepSpeed support.

Best for

PyTorch developers who need to scale training from a single GPU to multi-node clusters with minimal code changes

Use cases

  • Run PyTorch training on single or multiple GPUs with minimal code changes
  • Enable mixed precision training (fp16, bf16, fp8) for faster model convergence
  • Configure distributed training with FSDP or DeepSpeed without manual setup

Notes

9,708 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.

Pros

  • Reduces boilerplate for distributed and mixed precision training
  • Works across CPUs, GPUs, and multi-node setups with a unified API
  • Active community with nearly 10,000 GitHub stars

Cons

  • Primarily focused on PyTorch, not compatible with other frameworks
  • Requires understanding of distributed training concepts for advanced configurations
  • May add overhead for very simple single-device workloads

Key facts

What we have checked

Latest version
1.15.0 (released 9 Sept 2026)
Checked GitHub
GitHub stars
9,885
Checked github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

Stars and usage

How Accelerate is growing

GitHub stars

9,708 to 9,885

stars. 12 July 2026 to 26 Sept 2026, 2 readings.

Source: github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438. Checked .

Alternatives

Alternatives to Accelerate

RecordTypeHow we knowChecked
PyTorch LightningThis is an alternative to itOpen sourceNamed in the listingNot dated

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Sources

Where this comes from

  • GitHubOfficial

    Checked · Latest version

  • github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry

    Checked · GitHub stars

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

  1. Released 1.15.0

    Source: GitHub

  2. Released 1.14.0

    Source: GitHub

  3. Released 1.13.0

    Source: GitHub

  4. Released 1.12.0

    Source: GitHub

  5. Released 1.11.0

    Source: GitHub

  6. Released 1.10.1

    Source: GitHub

  7. Released 1.10.0

    Source: GitHub

  8. Released 1.9.0

    Source: GitHub

  9. Released 1.8.1

    Source: GitHub

  10. Released 1.8.0

    Source: GitHub

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