PyTorch (CUDA)
SSH-only classical workload; readiness is the SSH endpoint probe (no HTTP readiness).
Needs 8 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
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- Runs
- 0
- Min VRAM
- 8.6 GB
- Backend
- CUDA · NVIDIA GPUs
- Version
- pytorch-cuda-v1.4.0
- Image digest
- d985a242e7cd…
- Health check
- SSH probe on the leased endpoint
SSH-only classical workload; readiness is the SSH endpoint probe (no HTTP readiness). Source: https://github.com/pytorch/pytorch (2.14.0 CUDA 12.6). License: https://github.com/pytorch/pytorch/blob/main/LICENSE including third-party notices; CUDA terms apply.
We match GPUs on their measured runtime and dedicated VRAM. A hardware report doesn't qualify another vendor's backend.
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