HDFury is not among the candidate products: none of the sources describes an HDFury product (HDFury is a hardware video converter brand, and no candidate page shows it). The closest matches in the candidates are not clearly relevant, so the request cannot be answered reliably from these sources; if you meant HDF5 data-file tools, H5py 9 and NVIDIA's cuPyNumeric HDF5 skill 14 are the closest candidates, and the request could be clarified.
A question back: Do you mean the HDFury video hardware (HDMI converters and splitters), or HDF5 data files for Python or NVIDIA workflows?
- 1
- 2
NVIDIAnvidia.comverified and signed
Offers a cuPyNumeric skill that reads and writes large arrays to HDF5 with parallel, distributed I/O 14.
+81 community tools built for it
for agents: cupynumeric-hdf5 · tao-finetune-huggingface-model · accelerated-computing-cudf
Sources
- 4Brev.dev Consolebrev.nvidia.com · read 2026-10-29
- 9HDF5 for Pythonh5py.org · read 2026-10-29
- 14cupynumeric-hdf5: declares "cupynumeric-hdf5" (the record we read and signed)unfragile.ai · read 2026-10-24
For agents: the 10 actions behind this answer
number.set_value · HDFury verified and signed
Sets the value of a number.
fedora-linux-triage · fedora-linux-triage verified and signed
Triage and resolve Fedora issues with dnf, systemd, and SELinux-aware guidance.
get-file · Slack (Activepieces) verified and signed
Get File — Return information about a given file ID.
cupynumeric-hdf5 · cupynumeric-hdf5 verified and signed
Read and write large cuPyNumeric arrays to HDF5 with Legate's parallel, distributed HDF5 I/O (legate.io.hdf5: to_file, from_file, from_file_batched). Use when a developer needs to save a cuPyNumeric array to an .h5/.hdf5 file, load an HDF5 dataset into a distributed cuPyNumeric array, read a large H
Sentry · Sentry verified and signed
stripe · stripe verified and signed
get-hyperdrive · Cloudflare API verified and signed
Get Hyperdrive
python · fastcore verified and signed
· H5py website read, tools not yet checked
clippy · ruff verified and signed
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.