sglang
https://github.com/sgl-project/sglang
Python
SGLang is a high-performance serving framework for large language models and multimodal models.
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- Issues
- [mm] Release multimodal features at consumption (opt-in) to bound host memory
- Reduce KDA prefill OOM risk with opt-in workspace limits
- Free raw image tensors before language-model execution to avoid prefill OOMs
- Allow CPU image preprocessing to preserve serving GPU memory
- Report which prefill phases consume GPU memory before an OOM
- Warm up real serving paths before the first user request
- Retry queued prefills when Mamba cache capacity may have recovered
- [Bug] --enable-linear-replayssm forces no_buffer, which degrades mamba prefix caching and inflates TTFT up to 4.7x
- [diffusion] Plan component residency from calibrated warmup records (2/4)
- fix: report DeepSeek-V4 KV cache memory usage
- Docs
- Python not yet supported