Backend.AI Accelerator Plugin for AMD GPUs
Project description
Backend.AI Accelerator Plugin for ROCm
Just install this along with Backend.AI agents, using the same virtual environment. This will allow the agents to detect ROCm devices on their hosts and make them available to Backend.AI kernel sessions.
$ pip install -e <Path to this repository>
This open-source edition of ROCm plugins support allocation of one or more ROCm devices to a container, slot-by-slot.
Compatibility Matrix
TBD
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file backend_ai_accelerator_rocm-26.3.0.tar.gz.
File metadata
- Download URL: backend_ai_accelerator_rocm-26.3.0.tar.gz
- Upload date:
- Size: 10.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.2.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
25c628ca8626196456a55978d61cfc2cf325bf5d2b1e6d4db5ddaf122b306553
|
|
| MD5 |
3e36ff7e983a044276c1ee9bf880cd6c
|
|
| BLAKE2b-256 |
378a2e297814d588536429126eb6a1e32133423669e8404f34ceef5df0ce2a58
|
File details
Details for the file backend_ai_accelerator_rocm-26.3.0-py3-none-any.whl.
File metadata
- Download URL: backend_ai_accelerator_rocm-26.3.0-py3-none-any.whl
- Upload date:
- Size: 11.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.2.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a84772c5fe21c2aa0a070fa13557ba8477bca648594116be36bbfa313125c979
|
|
| MD5 |
d832a6b614826dd419641ad6c74528ee
|
|
| BLAKE2b-256 |
77aefad0757bcd45e61dcb84a28598125e4257158655fd21f2fbfdecc3f6387d
|
