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
- Qwen3-VL-8B-Instruct-FP8 fails with GLIBC_2.32 not found in FlashAttention (works fine with Qwen3-VL-4B-Instruct)
- [Bug]: Can we able to benchmark Quantized MOE models Either W8A8 or W8A16 ?
- [Usage]: TPOT per request information was not collected by vllm bench serve
- [Bug]: TorchRuntimeError: Dynamo failed to run FX node with fake tensors: call_function aten.index(...): got RuntimeError('unknown table encoding')
- [Feature][P2]: Implement CI Build Time and Size Guards
- [Feature][P2]: Move Examples/Benchmarks to Test Stage Only
- [Feature][P1]: Investigate and Implement FSx for Persistent Caching
- [Feature][P1]: Bake Base Docker Images into EC2 AMI with Packer
- [Feature][P2]: Investigate Lazy Image Pull with Stargz/Nydus Snapshotters
- [Feature][P1]: Investigate and Implement Zstd Compression for Docker Images
- Docs
- Python not yet supported