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vllm-project/vllm95.4k
A high-throughput and memory-efficient inference and serving engine for LLMs
v0.32.0Pythonamdblackwell
更新于 8 小时前Apache-2.0
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A high-throughput and memory-efficient inference and serving engine for LLMs
SGLang is a high-performance serving framework for large language models and multimodal models.
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.
TokenSpeed is a speed-of-light LLM inference engine.