LLM Inference & Serving — Synthszr Charts

This category covers frameworks and engines used to run large language models in production – from inference servers to batching and scheduling layers to optimizations for latency and throughput. It includes projects like vLLM, SGLang and TGI, used to serve models behind APIs or in self-hosted data centers. They're used by teams that need to run models at scale and cost-efficiently, not just train them.

The Synthszr Charts measure momentum for this category from mentions across thousands of news and newsletter sources, recency-weighted and version-granular, so that new releases such as EAGLE 3.1 are tracked individually. The ranking is updated daily, showing which serving solutions are gaining or losing attention.