biondizzle/vllm

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Seungmin Kim 160424a937 [Bugfix] Fix CUDA compatibility path setting for both datacenter and consumer NVIDIA GPUs (#33992 )

Signed-off-by: Seungmin Kim <8457324+ehfd@users.noreply.github.com>
Signed-off-by: Andrew Mello <19512127+88plug@users.noreply.github.com>
Co-authored-by: 88plug <19512127+88plug@users.noreply.github.com>
Co-authored-by: Michael Goin <mgoin64@gmail.com>

2026-02-25 18:15:51 -08:00

..

.nav.yml

Docs update tpu install instructions (#27824 )

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

cpu.apple.inc.md

[Doc] Add vllm-metal to hardware plugin documentation (#31174 )

2025-12-22 20:06:29 +00:00

cpu.arm.inc.md

[CPU][ARM] Add ARM BF16 cross-compilation support and improve documen… (#33079 )

2026-02-15 06:33:08 -08:00

cpu.md

Vllm CPU benchmark suite improvement (#34128 )

2026-02-12 16:04:44 +08:00

cpu.s390x.inc.md

[CPU Backend] [Doc]: Update Installation Docs for CPUs (#29868 )

2025-12-03 13:33:50 +00:00

cpu.x86.inc.md

[Doc] Enhance documentation around CPU container images (#32286 )

2026-01-30 13:36:20 +00:00

device.template.md

Migrate docs from Sphinx to MkDocs (#18145 )

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

gpu.cuda.inc.md

[Bugfix] Fix CUDA compatibility path setting for both datacenter and consumer NVIDIA GPUs (#33992 )

2026-02-25 18:15:51 -08:00

gpu.md

[DOC] [ROCm] Update docker deployment doc (#33971 )

2026-02-06 10:05:35 -08:00

gpu.rocm.inc.md

[DOC] [ROCm] Update docker deployment doc (#33971 )

2026-02-06 10:05:35 -08:00

gpu.xpu.inc.md

[XPU][9/N] clean up existing ipex code/doc (#34111 )

2026-02-11 00:27:15 -08:00

python_env_setup.inc.md

[Doc] Suggest "--managed-python" flag when installing python using uv (#33069 )

2026-02-25 08:19:43 +00:00

README.md

Migrate doc to website: Hardware Plugins (1/N) (#31496 )

2025-12-29 15:55:20 +00:00

README.md

Installation

vLLM supports the following hardware platforms:

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