ziqifan617/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
LLM Inference | NVIDIA Dynamo
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.
Benchmark SGLang on SLURM
Supercharge Your LLM with the Fastest KV Cache Layer