Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

vLLM TPU vLLM TPU

| Documentation | Blog | User Forum | Developer Slack (#sig-tpu) |


Upcoming Events 🔥

Latest News 🔥

Previous News 🔥

About

vLLM TPU is now powered by tpu-inference, an expressive and powerful new hardware plugin unifying JAX and PyTorch under a single lowering path within the vLLM project. The new backend now provides a framework for developers to:

  • Push the limits of TPU hardware performance in open source.
  • Provide more flexibility to JAX and PyTorch users by running PyTorch model definitions performantly on TPU without any additional code changes, while also extending native support to JAX.
  • Retain vLLM standardization: keep the same user experience, telemetry, and interface.

Recommended models and features

Although vLLM TPU’s new unified backend makes out-of-the-box high performance serving possible with any model supported in vLLM, the reality is that we're still in the process of implementing a few core components.

For this reason, we’ve provided a Recommended Models and Features page detailing the models and features that are validated through unit, integration, and performance testing.

Get started

Get started with vLLM on TPUs by following the quickstart guide.

Visit our documentation to learn more.

Compatible TPU Generations

  • Recommended: v5e, v6e
  • Experimental: v3, v4, v5p

Check out a few v6e recipes here!

Contribute

We're always looking for ways to partner with the community to accelerate vLLM TPU development. If you're interested in contributing to this effort, check out the Contributing guide and Issues to start. We recommend filtering Issues on the good first issue tag if it's your first time contributing.

Contact us

Metadata

Release files for tpu-inference 0.12.0.dev20251206

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for tpu-inference 0.12.0.dev20251206
File Size Uploaded
tpu_inference-0.12.0.dev20251206.tar.gz 365.2 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for tpu-inference 0.12.0.dev20251206
File Interpreter ABI Platform
tpu_inference-0.12.0.dev20251206-py3-none-any.whl Python 3 none any Details

Total release size: 799.9 kB

Release files / tpu_inference-0.12.0.dev20251206.tar.gz

Download URL tpu_inference-0.12.0.dev20251206.tar.gz
Size 365.2 kB
Tags Source
SHA-256 checksum
How to use checksums
c29d3d82b6450701e200c7367c4d0508743dc9d5b63475b30bf13c318e3c2343
BLAKE2b-256 checksum
How to use checksums
5a2de710ede4877af74bacd9bb46814f94f6ec7d3802294c05b9f61403bfd3e4
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.7

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Dec 6, 2025.

Transparency log

Release files / tpu_inference-0.12.0.dev20251206-py3-none-any.whl

Download URL tpu_inference-0.12.0.dev20251206-py3-none-any.whl
Size 434.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
d728aa2af5a18c9250e0b6c84a71b5c6a6c90d6654b4c9d31237ab2e5cd0935b
BLAKE2b-256 checksum
How to use checksums
c4334232de2f10c63e6edfa8559bf6c6d22e1efc0991e9ecb7f581ad3c023b5b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.7

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Dec 6, 2025.

Transparency log

Release history Release notifications | RSS feed

0.30.0

2 release files

0.29.0

2 release files

0.28.0

2 release files

0.27.0

2 release files

0.26.0

2 release files

0.25.0

2 release files

0.23.0

2 release files

0.22.1

2 release files

0.20.0

2 release files

0.18.0

2 release files

0.13.3

2 release files

0.13.2

2 release files

This release

0.11.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page