The cuDF interop in the roadmap [1] will be huge for my workloads. XGBoost has the fastest inference time on GPUs, so a fast path straight from these Vortex files to GPU memory seems promising.
Can you explain how it’s faster? GPU memory is just a blob with an address. Is it because the loading algorithms for vortex align better with XGBoost or just plain uploading to the GPU?
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[ 2.5 ms ] story [ 31.2 ms ] thread[1] https://github.com/vortex-data/vortex/issues/2116
This readme has what, max two or three emojis? Compare that to most LLM generated readmes with a zillion of emojis for every single feature.
I'd generally encourage new type systems to include sum types as a first-class concept.