High Performance LLM Inference Operator Library from Tencent (github.com)

Tencent has launched HPC-Ops, an advanced operator library designed for high-performance and production-ready large language model (LLM) inference. Developed by the Tencent Hunyuan AI Infra team, HPC-Ops leverages deeply optimized kernels specifically for NVIDIA H20 GPUs, achieving state-of-the-art (SOTA) performance with speed increases up to 2.22x for various operations. The library boasts a clean API for seamless integration with popular inference frameworks such as vLLM and SGLang, and includes robust support for multiple data types, including BF16 and FP8, showcasing various quantization schemes. The significance of HPC-Ops lies in its enhancements for large-scale production inference, especially critical for industries utilizing AI-driven applications. Its specialized capabilities, like optimized kernels for attention processes and novel compute-communication strategies, allow for better performance in memory-bound workloads and facilitate efficient distributed inference across multiple GPUs. The library also emphasizes community involvement, inviting contributions for further optimization and refinement, thus fostering an ecosystem aimed at accelerating LLM deployments while balancing speed and accuracy.