PyTorch 2.14 + SSH

PyTorch 2.14 on CUDA 13.0 for Blackwell (RTX 50) and newer cards; the same template runs on NVIDIA (CUDA), AMD (ROCm) and Intel Arc (XPU) GPUs.

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Needs 3.5 GiB of GPU memory · Runs on NVIDIA, AMD, Intel

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Doesn't fit (4)

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: 3.8 GB
Backend: Set by the machine you pick
Version: pytorch-ssh-v3-v3.0.0
Image digest: 489b0dd2e2e5…
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.

#pytorch #ssh

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