RAPIDS notebooks

cuDF, cuML and cuGraph in JupyterLab (RAPIDS 26.08).

PublishedjupyterNotebooks

Needs 7.5 GiB of GPU memory · CUDA on NVIDIA

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1× Apple M5 Max (40-core GPU) · New hostno inference runtime for this machine's backend1× Apple M4 Pro (20-core GPU) · New hostno inference runtime for this machine's backend1× Apple M4 · New hostno inference runtime for this machine's backend1× Apple M1 Pro (14-core GPU) · New hostno inference runtime for this machine's backend

Template details

Rating: No ratings yet
Runs: 0
Min VRAM: 8.1 GB
Backend: Set by the machine you pick
Version: rapids-jupyter-v1.0.0
Image digest: cac5f5681dd1…
Health check: SSH probe on the leased endpoint

We match GPUs on their measured runtime and dedicated VRAM. A hardware report doesn't qualify another vendor's backend.

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