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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 4, 10:00 UTC

[Bugfix] Disable FlashInfer CUTLASS MoE on SM110 (Jetson Thor AGX) (#40808)

Signed-off-by: Stefano Castagnetta <scastagnetta@nvidia.com>

Stefano Castagnetta committed May 1, 2026 at 05:08 UTC b542bdf7fb3611879b30917e03bef62963496e83
1 file changed +1 -1
vllm/model_executor/layers/fused_moe/flashinfer_cutlass_moe.py
+1 -1
@@ -129,7 +129,7 @@ class FlashInferExperts(mk.FusedMoEExpertsModular):
129 and (
130 p.is_device_capability(90)
131 or p.is_device_capability_family(100)
132 - or p.is_device_capability_family(110)
132 + # SM110 excluded: flashinfer-ai/flashinfer#3134
133 or p.is_device_capability_family(120)
134 )
135 and has_flashinfer_cutlass_fused_moe()