Modular: Paged Attention & Prefix Caching Now Available in MAX Serve

AI Impact Summary

Modular has released Paged Attention and Prefix Caching for MAX Serve, bringing state-of-the-art LLM inference optimizations. These features leverage VLLM's Paged Attention, which manages KV cache with block-based memory management and dynamic sequence management, reducing GPU memory usage by up to 40%. Prefix Caching, based on SGLang, intelligently identifies and caches common prompt prefixes, leading to throughput improvements of up to 3x for structured workflows.