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
Using this organization’s offerings
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
What is and isn’t public
Products
No product records yet.
Cataloged artifacts
Frameworks
Runtimes
- 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
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/systemoneendpoint that answerschoice,noulandscorequestions over a structured state, and a newhftool and reasoning parser that reads a checkpoint'sresponse_templateso 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.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 preloadcommand 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-requestmm_processor_kwargsandmedia_io_kwargsare now rejected unless--trust-request-mm-kwargsis set. The release also lists breaking changes, including the removal oftokenizer_mode="slow", and performance work for DeepSeek-V4.1-Flash. USASI has not tested any of these changes.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 generalizestorch.condto multi-way branching. Other highlights include declarative dynamic shapes via@dynamic_spec, experimentaltorch.compilesupport 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.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
- 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
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
Sources
This listing is not an endorsement or a federal approval.
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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}
}The date is when this page was last updated. Add the date you read it if your style needs one.
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