JupyterLab + PyTorch (CUDA 12)
Jupyter Docker Stacks PyTorch notebook with a per-rental token.
Needs 7.5 GiB VRAM · CUDA on NVIDIA
No GPU big enough is free right now.
New machines appear as hosts connect them.
No speed benchmarks yet, so we match on price.
Template details
- Rating
- No ratings yet
- Runs
- 0
- Min VRAM
- 8.1 GB
- Backend
- CUDA · NVIDIA GPUs
- Version
- jupyter-pytorch-v1.0.0
- Image digest
- 6c6d2cfdd392…
- Health check
- SSH probe on the leased endpoint
Web UI on the leased HTTP endpoint, protected by the per-job credential; SSH as the tenant too. Replaces the revoked jupyter-cuda build: the token is the per-job credential and never appears in argv or logs. Thin AmpleRun wrapper (templates/images/workspace, variant nb-pytorch) over quay.io/jupyter/pytorch-notebook:cuda12-2026-09-21@sha256:dfdd544ac7fb03e67065464029511079e64c38d74e18eb93a161f6c4b27d6a8a (digest verified 2026-09-26); NOT BUILT, so image_digest is a placeholder that can be neither published nor rented. Licence: BSD-3-Clause (https://github.com/jupyter/docker-stacks/blob/main/LICENSE.md). Status: not hardware-tested.
We match GPUs on their measured runtime and dedicated VRAM. A hardware report doesn't qualify another vendor's backend.
#notebook #pytorch
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