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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 14, 04:15 UTC

[Build] Revert triton_kernels requirements (#27659)

Varun Sundar Rabindranath committed Oct 29, 2025 at 00:07 UTC f6d5f5888cce05b4d069e2d26503934ddf6e25d4
1 file changed -2
requirements/cuda.txt
-2
@@ -13,5 +13,3 @@ torchvision==0.24.0 # Required for phi3v processor. See https://github.com/pytor
13 # xformers==0.0.32.post1; platform_system == 'Linux' and platform_machine == 'x86_64' # Requires PyTorch >= 2.8
14 # FlashInfer should be updated together with the Dockerfile
15 flashinfer-python==0.4.1
16 -# Triton Kernels are needed for mxfp4 fused moe. (Should be updated alongside torch)
17 -triton_kernels @ git+https://github.com/triton-lang/triton.git@v3.5.0#subdirectory=python/triton_kernels