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Organization

PyTorch Foundation

PyTorch Foundation is an open-source steward. This catalog lists 5 software projects from PyTorch Foundation, under licenses including the Apache License 2.0 and the BSD-style license (3-clause).

Documented roles: Open-source steward

Hosted project of The Linux Foundation

The PyTorch Foundation is a directed fund of The Linux Foundation. It supports the PyTorch framework and other hosted projects, including vLLM, DeepSpeed, Ray, Helion, and Safetensors. It was formed in September 2022, when Meta moved PyTorch to the Linux Foundation.123

Last reviewedEntry updated

Using this organization’s offerings

Ownership, delivery, and openness answer different questions. Publicly traded does not mean open source; privately held does not mean closed.

The detailed audience, self-hosting, pricing, and restrictions review has not yet been completed. Consult the sourced product records below and the publisher’s current terms. Missing detail means unknown, not unavailable.

Key facts

Ownership (separate from openness)
Foundation-hosted

Recorded classification; fact-level ownership verification pending.

Legal form
Directed fund of The Linux Foundation2
Headquarters
Not documented
Founded
20223

What is and isn’t public

An evidence-based summary of what this catalog has documented. It is not a verdict on the organization as a whole.

Hosts open-source projects. PyTorch itself is published under a BSD-style license in a public repository.15

Products

Documented products and how they are delivered. Each row links to the official page.

No product records yet.

Cataloged artifacts

Records in the Open Models & Tools directory that list this organization as a maintainer or publisher.

Frameworks (3)

  • DeepSpeedSoftwareAvailability: Public
  • PyTorchSoftwareAvailability: Public
  • RaySoftwareAvailability: Public

Runtimes (2)

  • ExecuTorchSoftwareAvailability: Public
  • vLLMSoftwareAvailability: Public

Organizational relationships

  • Parent organization: The Linux Foundation (Hosted project)

    Fact-level relationship verification pending.

Units and subsidiaries have their own records and are counted separately from their parent.

Notable documented facts

  • The founding governing board members were AMD, Amazon Web Services, Google Cloud, Meta, Microsoft Azure, and NVIDIA.3
  • A Governing Board oversees the foundation under its charter. Technical governance of the PyTorch project is defined separately by its maintainers and is open to individuals, not companies.14
  • The PyTorch code base is established as PyTorch a Series of LF Projects, LLC, and foundation members must also be Linux Foundation members.2

In the news

Dated, sourced updates in this catalog's news that mention this entry.
  1. · Release

    vLLM 0.32.0 released with a structured decisions endpoint and wider low-precision KV cache support

    On October 18, 2026 the vLLM project published version 0.32.0 on GitHub. The release notes highlight a new POST /v1/systemone endpoint that answers choice, noul and score questions over a structured state, and a new hf tool and reasoning parser that reads a checkpoint's response_template so models that ship it need no model-specific parser. The notes also describe NVFP4 KV cache support on more GPU architectures and new model support, including EmbeddingGemma 2, MiniCPM-V 4.7 and Nemotron 3.5 ASR. Under security, they list fixes for three advisories and say CORS no longer allows every origin by default; breaking changes include dropping Python 3.10 and removing cascade attention. USASI has not tested any of these changes.

  2. · Release

    vLLM 0.31.0 released with a preload command for faster engine restarts

    On October 5, 2026 the vLLM project published version 0.31.0 on GitHub. The release notes highlight a new vllm preload command that launches a weight-cache daemon to keep post-quantized weights in GPU memory across engine restarts, and experimental engine snapshots (vllm snapshot create/restore) that use CRIU to restore a fully initialized TP1 engine. Under security, the notes say per-request mm_processor_kwargs and media_io_kwargs are now rejected unless --trust-request-mm-kwargs is set. The release also lists breaking changes, including the removal of tokenizer_mode="slow", and performance work for DeepSeek-V4.1-Flash. USASI has not tested any of these changes.

  3. · Release

    PyTorch 2.14.0 released with torch.switch, NVGEMM in Inductor, and a preview NCCL backend rewrite

    PyTorch 2.14.0 was published on GitHub on September 2, 2026. The release notes highlight NVGEMM, which brings CuTeDSL-generated CUTLASS kernels to Inductor, and torch.switch, which generalizes torch.cond to multi-way branching. Other highlights include declarative dynamic shapes via @dynamic_spec, experimental torch.compile support for complex-valued tensors, a preview of a rewritten NCCL backend ported from torchcomms, and native linear algebra on Apple Silicon. The notes also say Inductor now targets Rubin (sm_107). USASI has not tested this release.

  4. · Release

    PyTorch 2.13.0 released with FlexAttention on Apple Silicon and the torchcomms backend

    PyTorch 2.13.0 was published on GitHub on July 8, 2026. The release notes highlight FlexAttention support on Apple Silicon (MPS) and a deterministic FlexAttention backward path on CUDA, a prototype CuTeDSL "Native DSL" backend for Inductor alongside Triton, and nn.LinearCrossEntropyLoss, which combines the final prediction and loss computation to reduce peak GPU memory. They also introduce torchcomms, a new communications backend for PyTorch Distributed, and Python 3.15 wheels on Linux, while dropping free-threaded CPython 3.13t binaries and Bazel build support. USASI has not tested this release.

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.
  • Legal name: not documented in the sources reviewed for this record.
  • Headquarters: not documented in the sources reviewed.
  • Official careers page: not verified by this catalog.
  • Products: none documented in this record.

Have a primary source? How to report a correction.

U.S. eligibility

How this record meets the catalog’s published eligibility policy.

Eligible · basis: Documented U.S. control

The PyTorch Foundation is a directed fund of The Linux Foundation, which approves changes to its charter. The Linux Foundation is a U.S. 501(c)(6) nonprofit whose legal postal address is in San Francisco, California. The foundation has no separately documented headquarters.267

Assessed Sep 29, 2026

Eligibility policy

Sources

  1. 1.
    PyTorch Foundation (external site: pytorch.org)

    PyTorch Foundation · Official page · accessed Sep 29, 2026

  2. 2.
  3. 3.
  4. 4.
    PyTorch Governance | Mechanics (external site: docs.pytorch.org)

    PyTorch Foundation · Documentation · accessed Sep 29, 2026

  5. 5.
    pytorch/pytorch README (external site: github.com)

    PyTorch (GitHub) · Repository · accessed Sep 29, 2026

  6. 6.
    About the Linux Foundation (external site: linuxfoundation.org)

    Linux Foundation · Official page · accessed Sep 29, 2026

  7. 7.
    Privacy Policy | Linux Foundation (external site: linuxfoundation.org)

    Linux Foundation · Official page · accessed Sep 29, 2026

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Cite this page

APA style

USASI. (2026, September 29). PyTorch Foundation. United States of America Superintelligence. https://unitedstatesofamericasuperintelligence.com/companies/pytorch-foundation/

BibTeX

@misc{usasi_pytorch_foundation,
  author = {{USASI}},
  title = {PyTorch Foundation},
  year = {2026},
  month = sep,
  howpublished = {\url{https://unitedstatesofamericasuperintelligence.com/companies/pytorch-foundation/}},
  note = {United States of America Superintelligence. Last updated 2026-09-29}
}

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