vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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- Issues
- [Bug]: [DCP] Decode Context Parallel (DCP) failed to run on H200 GPU.
- [RFC]: Elastic Attn-FFN Disaggregation
- [Bug]: Streaming tool call randomly failed when using gpt-oss-120b/20b
- [Bug]: Inductor fails to fuse pointwise ops with sequence parallelism + async TP
- [RFC]: Fault-Tolerant Expert parallelism phase 2 (recovery)
- [Bug]: CUDA error: an illegal memory access was encountered CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
- [Usage]: Error: Failed to initialize the TMA descriptor 700
- [RFC]: Pin all dependencies
- Alternative way to obtain GPU inventory. // .buildkite/test-amd.yaml:L589
- [Bug]: ROCm and AITER ValueError: Unsupported attention metadata type for speculative decoding with num_speculative_tokens > 1
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