Pre-release
This release is a pre-release and may not be stable for production use.
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
Metadata
Release files for backend.ai-accelerator-rocm 26.9.0a1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| backend_ai_accelerator_rocm-26.9.0a1.tar.gz | 10.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| backend_ai_accelerator_rocm-26.9.0a1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 22.7 kB
Release files / backend_ai_accelerator_rocm-26.9.0a1.tar.gz
| Download URL | backend_ai_accelerator_rocm-26.9.0a1.tar.gz |
|---|---|
| Size | 10.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/6.2.0 CPython/3.13.7
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Release files / backend_ai_accelerator_rocm-26.9.0a1-py3-none-any.whl
| Download URL | backend_ai_accelerator_rocm-26.9.0a1-py3-none-any.whl |
|---|---|
| Size | 11.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.2.0 CPython/3.13.7
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