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]: cudaErrorIllegalAddress crash when enabling `--performance-mode throughput` for zai-org/GLM-4.7-FP8 under load
- [Bugfix] Fix engine crash when structured output grammar compilation fails with auto backend
- [Feature] Feat(structured-outputs): expose xgrammar bitmask backend selection via platform interface
- [Bugfix] Zero-init ROCm MLA attention output buffers for graph padding
- [Metrics] Add Prometheus counter for CUDA graph mode
- [Bugfix] fixd issue#37343: prevent TTFT regression by adding batched logprobs budget to scheduler
- [CI Failure]: MultiModal Models Extended 2 - isaac test case OOMs
- [Bug]: Qwen3 + DeepGEMM + dummy-load Cannot access data pointer of Tensor that doesn't have storage
- [Bug]: [V1 Engine] Segfault / NCCL init failure when running 4 GPUs across NUMA nodes (v0.17.0)
- [Bugfix] Fix speculative sampler warmup OOM when using EAGLE
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- Python not yet supported