USASI
SoftwareRuntime

vLLM

Project record

Maintained by PyTorch Foundation (hosted project)78, vLLM core maintainers (project Technical Steering Committee)4

vLLM is an open-source inference and serving engine for large language models, originally built around the PagedAttention memory-management technique. It was developed in UC Berkeley's Sky Computing Lab, and UC Berkeley contributed it to the PyTorch Foundation in 2025.27

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.13

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

Public materials checklist

Items for a runtime under USASI rubric v0.1. Unknown means unassessed or insufficient evidence.
Public materials checklist for vLLM
ItemStatusNotes and evidence
Source codeIs the source code publicly readable?Public1
DocumentationIs user documentation published?Public5
InstallationAre installation instructions or packages publicly available?PublicInstallation guides are published per hardware platform.5
Supported platformsAre supported operating systems or hardware documented?PublicInstallation docs cover NVIDIA CUDA, AMD ROCm, and Intel XPU GPUs, x86, ARM AArch64, Apple silicon, and IBM Z CPUs. Other accelerators are supported through out-of-tree hardware plugins.5
Release statusAre versioned releases published?PublicVersioned releases are published on GitHub.6

What it is useful for

Serving language and multimodal models through an OpenAI-compatible API server, including distributed inference across multiple accelerators.2

Organization context

U.S. eligibility

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

Eligible · basis: U.S.-governed project

vLLM is a PyTorch Foundation-hosted project, contributed by the University of California, Berkeley. Per the Foundation, hosted projects are governed and administered under its governance model. The PyTorch Foundation is hosted by the Linux Foundation, whose privacy policy gives a contact mailing address in San Francisco, California. vLLM's governance document says its core maintainers serve as the Technical Steering Committee under Linux Foundation project governance, and that committer status belongs to individuals, not companies.7894

Assessed Sep 29, 2026

Sources

  1. 1.
    vllm-project/vllm (external site: github.com)

    vLLM project · Repository · accessed Sep 29, 2026

  2. 2.
    vLLM README (external site: github.com)

    vLLM project · Repository · accessed Sep 29, 2026

  3. 3.
    vLLM LICENSE (external site: github.com)

    vLLM project · License · accessed Sep 29, 2026

  4. 4.
    Governance Process (external site: github.com)

    vLLM project · Documentation · accessed Sep 29, 2026

  5. 5.
    vLLM Installation (external site: docs.vllm.ai)

    vLLM project · Documentation · accessed Sep 29, 2026

  6. 6.
    vLLM releases (external site: github.com)

    vLLM project · Release notes · accessed Sep 29, 2026

  7. 7.
    PyTorch Foundation Welcomes vLLM as a Hosted Project (external site: pytorch.org)

    PyTorch Foundation · Announcement · published May 2025 · accessed Sep 29, 2026

  8. 8.
    PyTorch Foundation (external site: pytorch.org)

    PyTorch Foundation · Official page · accessed Sep 29, 2026

  9. 9.
    Linux Foundation Privacy Policy (external site: linuxfoundation.org)

    The Linux Foundation · Official page · published Sep 11, 2024 · accessed Sep 29, 2026

This listing is not an endorsement, a safety assessment, or a federal approval.

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