Tulip uses two techniques to reduce latency and increase throughput.
Tulip uses two techniques to reduce latency and increase throughput.
CUDA graphs pre-record GPU work so it can be launched with a single call, reducing CPU overhead.
LazyTensors track results asynchronously, letting the CPU prepare the next batch while the GPU finishes the current one.