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 6, 21:45 UTC
Correct link to supported hardware on vllm.ai (#36798)
Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
Harry Mellor committed
Mar 11, 2026 at 15:43 UTC
35db669f1def3fb56f1585f00cac40c199623822
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docs/getting_started/installation/README.md
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@@ -16,4 +16,4 @@ vLLM supports the following hardware platforms:
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vLLM supports third-party hardware plugins that live **outside** the main `vllm` repository. These follow the [Hardware-Pluggable RFC](../../design/plugin_system.md).
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-A list of all supported hardware can be found on the [vllm.ai website](https://vllm.ai/#hardware). If you want to add new hardware, please contact us on [Slack](https://slack.vllm.ai/) or [Email](mailto:collaboration@vllm.ai).
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+A list of all supported hardware can be found on the [vllm.ai website](https://vllm.ai/#compatibility). If you want to add new hardware, please contact us on [Slack](https://slack.vllm.ai/) or [Email](mailto:collaboration@vllm.ai).