GPU-Resident Top-K for Agentic RAG: I Built a CUDA Kernel So My Retrieval Step Would Stop Bouncing Off the GPU
中文摘要
为优化Agentic RAG，作者开发了自定义CUDA内核实现GPU驻留Top-K检索，通过消除PCIe传输延迟，将检索延迟降低至微秒级。
English Summary
A custom CUDA kernel for GPU-resident Top-K retrieval was developed to eliminate PCIe latency in Agentic RAG, achieving microsecond tail latencies by bypassing the CPU.
Original Excerpt
The PCIe transfer latency is silently bottlenecking your agentic inference. Here is how building a custom device-resident vector search kernel bypasses the CPU to unlock deterministic microsecond tail latencies. The post GPU-Resident Top-K for Agentic RAG: I Built a CUDA Kernel So My Retrieval Step Would Stop Bouncing Off the GPU appeared first on Towards Data Science.