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Open Source · Frameworks

Mesh Tensorflow

Mesh TensorFlow: Model Parallelism Made Easier

Our verdict

Not reviewed yet

We have not reviewed Mesh Tensorflow 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 Mesh Tensorflow

Mesh TensorFlow is a framework for model parallelism in TensorFlow. It allows developers to split large neural network models across multiple devices by defining how tensors are partitioned. It provides a domain-specific language for describing distributed layouts.

Best for

Developers training large transformer models on TPU or GPU clusters

Use cases

  • Training models that exceed single-device memory
  • Distributing transformer layers across multiple GPUs
  • Implementing sharded computation for large-scale neural networks

Notes

1,625 stars on GitHub. Last updated 2023-11-17. Licensed Apache-2.0.

Pros

  • Enables training of models too large for one device
  • Integrates directly with TensorFlow ecosystem
  • Provides explicit control over tensor partitioning

Cons

  • Requires manual specification of mesh layouts
  • Added complexity compared to data parallelism
  • Limited adoption outside Google's TPU environments

Key facts

What we have checked

Latest version
0.0.5 (released 11 Dec 2018)
Checked GitHub
GitHub stars
1,629
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 Mesh Tensorflow is growing

GitHub stars

1,625 to 1,629

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 Mesh Tensorflow

RecordTypeHow we knowChecked
Colossal-AIThis is an alternative to itOpen sourceNamed in the listingNot dated
DeepSpeedThis is an alternative to itOpen sourceNamed in the listingNot dated
Megatron-LMThis 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 0.0.5

    Source: GitHub

  2. Released 0.0.4

    Source: GitHub

  3. Released 0.0.3

    Source: GitHub

  4. Released 0.0.2

    Source: GitHub

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