AI Briefing#prefill-decode
The latest AI and developer news about #prefill-decode, with the original source and a short summary.
The latest AI and developer news about #prefill-decode, with the original source and a short summary.
As AI inference demand surges, new hardware architectures and quantization techniques that separate workloads into Prefill and Decode stages and resolve memory bottlenecks are emerging.
By leveraging the small KVCache of hybrid-attention models, prefill is moved outside the data center.
Kimi Linear makes cross-datacenter Prefill/Decode disaggregation practical, lowering costs.
This analyzes the queue-blocking problem caused by long prompts in vLLM's chunked-prefill strategy and presents an optimization approach.