Backend.AI Accelerator Plugin for CUDA
Just install this along with Backend.AI agents, using the same virtual environment. This will allow the agents to detect CUDA devices on their hosts and make them available to Backend.AI kernel sessions.
$ pip install backend.ai-accelerator-cuda-open
This open-source edition of CUDA plugins support allocation of one or more CUDA devices to a container, slot-by-slot.
Metadata
Release files for backend.ai-accelerator-cuda-open 26.4.10
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_cuda_open-26.4.10.tar.gz | 11.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| backend_ai_accelerator_cuda_open-26.4.10-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 23.0 kB
Release files / backend_ai_accelerator_cuda_open-26.4.10.tar.gz
| Download URL | backend_ai_accelerator_cuda_open-26.4.10.tar.gz |
|---|---|
| Size | 11.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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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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Release files / backend_ai_accelerator_cuda_open-26.4.10-py3-none-any.whl
| Download URL | backend_ai_accelerator_cuda_open-26.4.10-py3-none-any.whl |
|---|---|
| Size | 11.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.2.0 CPython/3.13.7
|
