SenDNN Inference
| Documentation | Users Forum | #sig-spyre |
IBM Spyre is the first production-grade Artificial Intelligence Unit (AIU) accelerator born out of the IBM Research AIU family, and is part of a long-term strategy of developing novel architectures and full-stack technology solutions for the emerging space of generative AI. Spyre builds on the foundation of IBM's internal AIU research and delivers a scalable, efficient architecture for accelerating AI in enterprise environments.
SenDNN Inference (sendnn-inference) is a vLLM plugin that enables seamless integration of IBM Spyre Accelerator with vLLM. It follows the architecture described in vLLM's Plugin System, making it easy to integrate IBM's advanced AI acceleration into existing vLLM workflows.
For more information, check out the following:
- 📚 Meet the IBM Artificial Intelligence Unit
- 📽️ AI Accelerators: Transforming Scalability & Model Efficiency
- 🚀 Spyre Accelerator for IBM Z
- 🚀 Spyre Accelerator for IBM POWER
Getting Started
Visit our documentation:
Contributing
We welcome and value any contributions and collaborations. Please check out Contributing to SenDNN Inference for how to get involved.
Contact
You can reach out for discussion or support in the #sig-spyre channel in the vLLM Slack workspace or by opening an issue.
2 maintainers
Metadata
2 maintainers
Release files for sendnn-inference 2.6.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sendnn_inference-2.6.2.tar.gz | 1.3 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sendnn_inference-2.6.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.4 MB
Release files / sendnn_inference-2.6.2.tar.gz
| Download URL | sendnn_inference-2.6.2.tar.gz |
|---|---|
| Size | 1.3 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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Provenance
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Signed by GitHub Actions, verified by PyPI on Sep 28, 2026.
Transparency logRelease files / sendnn_inference-2.6.2-py3-none-any.whl
| Download URL | sendnn_inference-2.6.2-py3-none-any.whl |
|---|---|
| Size | 166.4 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 28, 2026.
Transparency log
