AI 导读
Tulip 使用两种技术来降低延迟并提升吞吐量。 CUDA graphs 预先录制 GPU 工作，使其一次调用即可启动，从而减少 CPU 开销。 LazyTensors 异步跟踪结果，让 CPU 在 GPU 完成当前批次时准备下一批次。https://t.co/hnTqjh2qji
正文
Tulip uses two techniques to lower latency and boost throughput.
CUDA graphs pre‑record GPU work so it launches in one call, reducing CPU overhead.
LazyTensors tracks results asynchronously, letting the CPU prep the next batch while the GPU finishes the current one. https://t.co/hnTqjh2qji
来源：@perplexity_ai · x.com