RadixAttention in SGLang: Prefix Caching Documentation
SGLang's RadixAttention uses radix trees for KV cache optimization. How it outperforms vLLM PagedAttention for multi-turn conversations and agent workflows.
Tag: SGLang
The Efficiency Moat - Navigating the New Economics of AI Inference
As the AI industry moves from model training to large-scale deployment, the strategic bottleneck has shifted from parameter count to inference orchestration. This post explores how advanced techniques like RadixAttention, Chunked Prefills, and Deep Expert Parallelism are redefining the ROI of GPU clusters and creating a new standard for high-performance AI infrastructure.