nvidia / skills / cupynumeric-parallel-data-load Load sharded data into a distributed array Reads fragmented datasets (.npy shards, Parquet, HDF5, custom binary) into a cuPyNumeric distributed array when row counts vary across files or standard loaders don't fit.
Best for: Data engineers distributing irregular or custom-layout datasets across GPU/CPU clusters.
Engineering / pipelines-data atomic for-engineers needs-integration from-file
Source Creator's repository · nvidia/skills
License: CC-BY-4.0 OR Apache-2.0
Security Verified — safe to install
Passed all 3 independent security checks
Checked by 3 independent security firms
Does it try to trick the AI? No SAFE · Gen Agent Trust Hub
Does it sneak in hidden code? No No alerts · Socket
Does it have known bugs? No Low risk · Snyk
Reads fragmented datasets (.npy shards, Parquet, HDF5, custom binary) into a cuPyNumeric distributed array when row counts vary across files or standard loaders don't fit.
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1,473 installs
repository nvidia/skills
installs 1.5k
added Jun 8, 2026
last indexed Jun 8, 2026