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Praneeth Reddy AandLi, Jiang <jiang1.li@intel.com> 1c47ebfc57 [Docs] Fix VLLM_CPU_KVCACHE_SPACE default and units (#60053 )

Signed-off-by: Praneeth <praneethreddyarikatla@gmail.com>
Co-authored-by: Li, Jiang <jiang1.li@intel.com>

2026-10-09 19:43:55 +08:00

.nav.yml

Docs update tpu install instructions (#27824 )

2025-10-31 10:29:55 -07:00

cpu.apple.inc.md

[CI/Build][CPU] Remove global extra index (#47687 )

2026-07-06 13:42:01 +08:00

cpu.arm.inc.md

[Docs]: quote variable-bearing wheel URLs (#56286 )

2026-09-10 16:13:09 +00:00

cpu.md

[Docs] Fix VLLM_CPU_KVCACHE_SPACE default and units (#60053 )

2026-10-09 19:43:55 +08:00

cpu.s390x.inc.md

[CPU] Add video inferencing via torchcodec on s390x (#58693 )

2026-09-28 14:16:59 +08:00

cpu.x86.inc.md

[CPU] Include vLLM Recipes tooling in release image to deploy models using vLLM Recipes (#58796 )

2026-09-28 16:46:53 +08:00

device.template.md

Migrate docs from Sphinx to MkDocs (#18145 )

2025-05-23 02:09:53 -07:00

gpu.apple.inc.md

[Docs] Update README.md MkDocs to give option to run dev-server on different port. (#54584 )

2026-09-09 09:08:12 +00:00

gpu.cuda.inc.md

[Doc] Require GCC 13 for CUDA source builds (#60259 )

2026-10-08 09:43:39 -07:00

gpu.md

Remove Python 3.10 support now that it is EOL (#60402 )

2026-10-08 02:30:52 -07:00

gpu.rocm.inc.md

[Refactor] Move auxiliary files out of the repository root (#58572 )

2026-09-24 12:38:56 -07:00

gpu.xpu.inc.md

[XPU] upgrade to PyTorch 2.14 (#56013 )

2026-09-23 09:18:52 +00:00

python_env_setup.inc.md

Allow markdownlint to run locally (#36398 )

2026-03-08 20:05:24 -07:00

README.md

[Docs] Add Apple Silicon documentation for vLLM-Metal GPU support (#41987 )

2026-05-11 11:34:25 -07:00

README.md

Installation

vLLM supports the following hardware platforms:

GPU
- NVIDIA CUDA
- AMD ROCm
- Intel XPU
- Apple Silicon (via vLLM-Metal)
CPU

Hardware Plugins

vLLM supports third-party hardware plugins that live outside the main vllm repository. These follow the Hardware-Pluggable RFC.

A list of all supported hardware can be found on the vLLM website, see Universal Compatibility - Hardware.

If you want to add new hardware, please contact us on Slack or Email.