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code-server 4.138 on PyTorch 2.8 / CUDA 12.8 devel, with a per-rental password.

Engine: code-server + PyTorch
GPU memory: 7.5 GiB or more
Runs on

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Doesn't fit (3)

1× Apple M5 Max (40-core GPU) · New hostno inference runtime for this machine's backend1× Apple M3 Max (30-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 backend

Hardware that can run this

Nothing that can run this is online right now.

3 more devices could run it, none online

Hardware
RTX 3080 Ti · 12 GB
RTX 3090 · 24 GB
RTX 4090 · 24 GB

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Template details

Rating: No ratings yet
Runs: 0
Min VRAM: 8.1 GB
Backend: Set by the machine you pick
Version: code-server-pytorch-v1.0.0
Image digest: 08edf4c79a7b…
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.

#ide #vscode #pytorch

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