Pattern preview · 12 of 4,089 sample rules shown · site-specific intelligence stays private
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attention_backend
infrastructure-attention-backend-when-running-vllm-on-an-older-gpu-e-g-rtx-3090-com-52a709d8
IFWhen running vLLM on an older GPU (e.g., RTX 3090, compute capability <9.0) and FA3 fails to load, the error 'FA3 is only supported on devices with compute capability >= 8 excluding 8.6 and 8.9 and Blackwell archs (>=10)' appears.
THENSet the environment variable VLLM_USE_AITER_UNIFIED_ATTENTION=1 to enable the AITER unified attention kernel as a fallback. Note that official support for compute capability <9.0 is limited, and this workaround may not be fully optimized.
Tier 170%
attention_backend
infrastructure-attention-backend-user-sets-vllm-attention-backend-3-on-vllm-v1-engi-84573fa8
IFUser sets VLLM_ATTENTION_BACKEND=3 on vLLM V1 engine, causing a warning and fallback to V0 engine, and possibly FA3 detection failure.
THENRemove the VLLM_ATTENTION_BACKEND=3 environment variable. The V1 engine does not support this variable and will fall back to auto-detection. Use VLLM_FLASH_ATTN_VERSION only if directed by documentation for specific hardware.
Tier 170%
attention_backend
infrastructure-attention-backend-when-running-vllm-on-a-blackwell-gpu-e-g-rtx-5090--0c9a7701
IFWhen running vLLM on a Blackwell GPU (e.g., RTX 5090) and setting VLLM_FLASH_ATTN_VERSION=3 or VLLM_ATTENTION_BACKEND=3, an error occurs: 'Cannot use FA version 3 is not supported due to FA3 is only supported on devices with compute capability >= 8 excluding 8.6 and 8.9 and Blackwell archs (>=10)'.
THENDo not force FlashAttention 3 on Blackwell GPUs. Instead, use the Flashinfer attention kernel. For configuration details, refer to the vLLM GPT-OSS recipe documentation: https://docs.vllm.ai/projects/recipes/en/latest/OpenAI/GPT-OSS.html#b200 . Also, avoid setting VLLM_ATTENTION_BACKEND=3 as it triggers a fallback to the V0 engine and may cause incompatibility.
Tier 170%
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