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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, 23:45 UTC

[ci] add b200 test placeholder (#21866)

Signed-off-by: simon-mo <simon.mo@hey.com>

Simon Mo committed Jul 29, 2025 at 17:11 UTC 0d0cc9e15001b18997207fc86af6810500d587d9
1 file changed +11
.buildkite/test-pipeline.yaml
+11
@@ -643,6 +643,17 @@ steps:
643 - python3 examples/offline_inference/audio_language.py --model-type whisper
644 - python3 examples/offline_inference/vision_language.py --model-type qwen2_5_vl
645
646 +- label: Blackwell Test
647 + working_dir: "/vllm-workspace/"
648 + gpu: b200
649 + # optional: true
650 + source_file_dependencies:
651 + - csrc/
652 + - vllm/
653 + commands:
654 + - nvidia-smi
655 + - python3 examples/offline_inference/basic/chat.py
656 +
657 ##### 1 GPU test #####
658 ##### multi gpus test #####
659