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SoftwareFramework

OpenXLA

OpenXLA is a framework maintained by OpenXLA project maintainers (Google-led technical leadership)431. Its source code is public21 under the Apache License 2.0 (XLA)6, the Apache License 2.0 (StableHLO)7, and the Apache License 2.0 (Shardy)8.

OpenXLA is an open-source project that develops machine learning compiler and infrastructure components linking frameworks such as JAX, PyTorch, and TensorFlow to hardware backends. Its website lists XLA (a compiler for GPUs, CPUs, and ML accelerators), StableHLO (a portable operation set), Shardy (an MLIR-based tensor partitioner), PJRT (a device and compiler interface), XProf (profiling tools), and Tokamax.12

Last reviewedEntry updated Documented release Unknown

Availability and license

Overall availability

Public

Documented as available to the general public. Access conditions and license terms may still apply.26

Availability fact review: not separately recorded

Availability is separate from permission: read the license before using or redistributing.

Licenses were checked for the XLA, StableHLO, and Shardy repositories only; other OpenXLA components were not reviewed.678

Component reuse rights

A readable or downloadable component is not automatically reusable. These indicators concern recorded license evidence, not system certification.
weights
Unknown — no complete fact-level rights review
code
Unknown — no complete fact-level rights review
data
Unknown — no complete fact-level rights review
documentation
Unknown — no complete fact-level rights review

No complete system-rights review is recorded for this release.

Public materials checklist

Items for a framework under USASI rubric v0.2. Unknown means unassessed or insufficient evidence.
Public materials checklist for OpenXLA
ItemStatusNotes and evidence
Source codeIs the source code publicly readable?PublicXLA, StableHLO, and Shardy are developed in public repositories under the openxla GitHub organization.21
DocumentationIs user documentation published?PublicThe OpenXLA website links documentation for each component.1
InstallationAre installation instructions or packages publicly available?PublicThe website says XLA comes prebuilt for many ML frameworks; the XLA repository is aimed at contributors and integrators who build it from source.12
Supported platformsAre supported operating systems or hardware documented?PublicThe XLA README describes GPUs, CPUs, and ML accelerators as compilation targets.2
Release statusAre versioned releases published?UnknownThe XLA repository was not found to publish versioned GitHub releases; release practices for the other components were not assessed.

What it is useful for

XLA compiles models from ML frameworks for execution on different hardware, and StableHLO and PJRT are described as interfaces that let frameworks and compilers or devices interoperate.12

Organization context

What this catalog does not know

Unknown means the sources reviewed for this record do not document it. It is not evidence that something does not exist.
  • Release status: unknown.

Have a primary source? How to report a correction.

U.S. eligibility

Project eligibility rests on documented governing or maintaining entities, not on contributors.

Eligible · basis: U.S.-governed project

OpenXLA lists member organizations from several countries, with Google as the founding member, but this catalog found no documentation of a separate multi-company governing body. The XLA contribution guide says the project follows Google's Open Source Community Guidelines and requires Google's Contributor License Agreement. The StableHLO governance page says Google engineers took responsibility for StableHLO's technical leadership during its 2022 bootstrapping phase, with an open governance model stated as a future aim; no later project-wide governance document was found. On that basis the documented maintaining entity is Google, whose parent Alphabet Inc. has its principal executive offices in Mountain View, California, per its fiscal 2025 Form 10-K. This assessment should be revisited if OpenXLA adopts a new governance structure.34519

Assessed Sep 29, 2026

Sources

  1. 1.
    OpenXLA Project (external site: openxla.org)

    OpenXLA Project · Official page · accessed Sep 29, 2026

  2. 2.
    openxla/xla README (GitHub) (external site: github.com)

    OpenXLA Project · Repository · accessed Sep 29, 2026

  3. 3.
    Contributing to OpenXLA (external site: raw.githubusercontent.com)

    OpenXLA Project · Documentation · accessed Sep 29, 2026

  4. 4.
    StableHLO Governance (external site: openxla.org)

    OpenXLA Project · Documentation · accessed Sep 29, 2026

  5. 5.
    OpenXLA Member Organizations (external site: raw.githubusercontent.com)

    OpenXLA Project · Repository · accessed Sep 29, 2026

  6. 6.
    XLA LICENSE (Apache License 2.0) (external site: raw.githubusercontent.com)

    OpenXLA Project · License · accessed Sep 29, 2026

  7. 7.
  8. 8.
  9. 9.
    Alphabet Inc. Form 10-K for the fiscal year ended December 31, 2025 (external site: sec.gov)

    Alphabet Inc. (via U.S. Securities and Exchange Commission EDGAR) · Filing · published Feb 5, 2026 · accessed Sep 29, 2026

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APA style

USASI. (2026, September 29). OpenXLA. United States of America Superintelligence. https://unitedstatesofamericasuperintelligence.com/open/openxla/

BibTeX

@misc{usasi_openxla,
  author = {{USASI}},
  title = {OpenXLA},
  year = {2026},
  month = sep,
  howpublished = {\url{https://unitedstatesofamericasuperintelligence.com/open/openxla/}},
  note = {United States of America Superintelligence. Last updated 2026-09-29}
}

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