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vLLM/docs/getting_started/installation
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David Xia 119f683949 [doc] add project flag to gcloud TPU command (#19664)
Signed-off-by: David Xia <david@davidxia.com>
2025-06-17 01:00:09 +00:00
..
ai_accelerator
[doc] add project flag to gcloud TPU command (#19664)
2025-06-17 01:00:09 +00:00
cpu
[Bugfix] Use cmake 3.26.1 instead of 3.26 to avoid build failure (#19019)
2025-06-03 00:16:17 -07:00
gpu
[doc][mkdocs] fix the duplicate Supported features sections in GPU docs (#19606)
2025-06-13 16:25:08 +00:00
.nav.yml
Migrate docs from Sphinx to MkDocs (#18145)
2025-05-23 02:09:53 -07:00
ai_accelerator.md
Migrate docs from Sphinx to MkDocs (#18145)
2025-05-23 02:09:53 -07:00
cpu.md
Automatically bind CPU OMP Threads of a rank to CPU ids of a NUMA node. (#17930)
2025-06-10 06:22:05 +00:00
device.template.md
Migrate docs from Sphinx to MkDocs (#18145)
2025-05-23 02:09:53 -07:00
gpu.md
[doc] clarify windows support (#19088)
2025-06-03 21:42:17 +08:00
python_env_setup.inc.md
Migrate docs from Sphinx to MkDocs (#18145)
2025-05-23 02:09:53 -07:00
README.md
Migrate docs from Sphinx to MkDocs (#18145)
2025-05-23 02:09:53 -07:00

README.md

title
title
Installation

{ #installation-index }

vLLM supports the following hardware platforms:

  • GPU
    • NVIDIA CUDA
    • AMD ROCm
    • Intel XPU
  • CPU
    • Intel/AMD x86
    • ARM AArch64
    • Apple silicon
    • IBM Z (S390X)
  • Other AI accelerators
    • Google TPU
    • Intel Gaudi
    • AWS Neuron
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