The DualPath Principle

https://mesuvash.github.io/blog/2026/dualpath/

DualPath: Breaking the Storage Bandwidth Bottleneck in Agentic LLM Inference

The provided text introduces DualPath, an innovative architecture designed by DeepSeek to resolve storage bandwidth bottlenecks during agentic LLM inference. In multi-turn AI workloads, systems frequently move massive amounts of KV-Cache data from storage to GPUs, often saturating the network interface cards of prefill engines. DualPath overcomes this by utilizing the idle storage capacity of decode engines and routing data through the high-speed compute network. This method effectively doubles the available throughput by distributing the data loading tasks across the entire cluster. Supported by an adaptive request scheduler and refined traffic management, the system achieves significant speedups in job completion times. Ultimately, this approach allows hardware to keep pace with the high data demands of large-scale reasoning models.

#ai #largelanguagemodels #research

Видео The DualPath Principle канала Vinh Nguyen