HiCache Across Multi-Parallelism and Distributed Serving

За 30 секунд

Что произошло

HiCache extends KV cache reuse to host memory and external storage while maintaining consistency across context parallelism, pipeline parallelism, speculative decoding, and prefill-decode disaggregation.

Почему это важно

Engineers deploying large language models with long-context agentic workloads where repeated request prefixes create cache reuse opportunities across distributed serving infrastructure.

На что обратить внимание

Per-layer KV gathering adds overhead; CP sharding optimization is ongoing. Consistency across pipeline stages requires careful synchronization of asynchronous transfers to avoid tensor shape mismatches.