SGLang

SGLang is a high-performance serving framework designed for large language models and multimodal models. It ensures low-latency and high-throughput inference, adaptable from single GPU setups to large distributed clusters. Key features include:

• Fast Runtime: Efficient serving with RadixAttention, zero-overhead CPU scheduler, and various parallelism techniques.
• Broad Model Support: Compatible with numerous models like Llama, GPT, and more, plus easy extensibility for new models.
• Extensive Hardware Compatibility: Runs on NVIDIA, AMD, Intel, Google TPUs, and more.
• Active Community: Open-source with widespread industry adoption, powering over 400,000 GPUs globally.

SGLang is trusted by leading enterprises and institutions worldwide, making it the de facto standard for AI model serving.