rgpu
A PyTorch device whose tensors live on a remote GPU. Train on a laptop with
device="rgpu" while the work runs on a GPU host you reach over SSH.
pip install rgpu
The GPU host runs rgpu-opserver; the laptop runs your script through
rgpu-run --server 127.0.0.1:9720 python train.py. The protocol has no
authentication, so keep the server on localhost and reach it through an SSH
tunnel.
Documentation: https://rgpu.pages.dev/docs/
1 maintainer
Metadata
1 maintainer
Release files for rgpu 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| rgpu-0.1.0.tar.gz | 56.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| rgpu-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 95.4 kB
Release files / rgpu-0.1.0.tar.gz
| Download URL | rgpu-0.1.0.tar.gz |
|---|---|
| Size | 56.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / rgpu-0.1.0-py3-none-any.whl
| Download URL | rgpu-0.1.0-py3-none-any.whl |
|---|---|
| Size | 39.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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