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
- [Spec Decode] Remove unnecessary all reduce for dense draft model on dp setting
- [Performance]: Optimized Deployment Recipe for Qwen3.5
- [Feature]: Add TCP support to MORI KV connector
- [Perf] Add update_block_table support to GDN attn metadata builder
- [Feature]: Asynchronous Logit Scrubbing (ALS) for Proactive Path Pruning and 85% Efficiency Gain
- [Bug]: Deadlock in async_scheduling with TP=1 (UniProcExecutor) when a DP rank raises exception inside `execute_model`
- [Performance]: Optimize GDN Decode
- [Bug]: Memory Access Fault during Step-3.5-Flash inference (ROCM)
- [Feature]: Support for multiple embedding types in a single inference call
- Fixing matcher to enable the 2-node-tests-4-gpus-in-total on MI355
- Docs
- Python not yet supported