A high-throughput and memory-efficient inference and serving engine for LLMs
Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git
Synced Nov 15, 04:45 UTC
[doc] add reference link for Intel XPU (#20064)
Signed-off-by: reidliu41 <reid201711@gmail.com> Co-authored-by: reidliu41 <reid201711@gmail.com>
Reid committed
Jun 25, 2025 at 20:24 UTC
c53fec1fcb27aca9475e55c2d1e74c532f5f0364
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docs/getting_started/installation/gpu/xpu.inc.md
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@@ -22,7 +22,7 @@ Currently, there are no pre-built XPU wheels.
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# --8<-- [end:pre-built-wheels]
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# --8<-- [start:build-wheel-from-source]
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-- First, install required driver and Intel OneAPI 2025.0 or later.
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+- First, install required [driver](https://dgpu-docs.intel.com/driver/installation.html#installing-gpu-drivers) and [Intel OneAPI](https://www.intel.com/content/www/us/en/developer/tools/oneapi/base-toolkit.html) 2025.0 or later.
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- Second, install Python packages for vLLM XPU backend building:
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```bash