We have been using async python for GPU pydata , including fronting dask/dask_cuda for sharing and bigger-than-memory scenarios, so a lot rings true. For model

We have been using async python for GPU pydata , including fronting dask/dask_cuda for sharing and bigger-than-memory scenarios, so a lot rings true. For model serving, we were thinking Triton (native vs python server) as it is a tightly scoped problem and optimized: any perf comparison there?