A high-throughput and memory-efficient inference and serving engine for LLMs
Global
SGLang is a high-performance serving framework for large language models and multimodal models.
#2425 · +9 · 1d ·GitHub
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.
#2500 · +9 · 1d ·GitHub
TokenSpeed is a speed-of-light LLM inference engine designed for agentic workloads, with TensorRT-LLM-level performance and vLLM-level usability. The goal is to be the most performant inference engine for production agentic workloads.
Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels
#6396 · +1 · 1d ·GitHub
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