Skip to main content

vLLM plugin for Spyre hardware support

Project description

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:

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sendnn_inference-2.1.1.tar.gz (1.1 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

sendnn_inference-2.1.1-py3-none-any.whl (110.5 kB view details)

Uploaded Python 3

File details

Details for the file sendnn_inference-2.1.1.tar.gz.

File metadata

  • Download URL: sendnn_inference-2.1.1.tar.gz
  • Upload date:
  • Size: 1.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for sendnn_inference-2.1.1.tar.gz
Algorithm Hash digest
SHA256 1b324eb0dcdaa10be6ca71c5469dd91d79948821070c801931d62a3894f7211a
MD5 bee767060ffb65e69c6788f1af6fe768
BLAKE2b-256 827bd9c4280166686179c2a9872807d8d09bcda334f059abd00e529f628e889e

See more details on using hashes here.

Provenance

The following attestation bundles were made for sendnn_inference-2.1.1.tar.gz:

Publisher: build_and_publish.yaml on torch-spyre/sendnn-inference

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file sendnn_inference-2.1.1-py3-none-any.whl.

File metadata

File hashes

Hashes for sendnn_inference-2.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 6e427f9f1ad2d0f191eefc9ac0eaedce7b2f44ea62482234baf243ed67113082
MD5 e53509c343e107c4e81015e318baf4e1
BLAKE2b-256 0355702ddc40a6d4234ebe7b40bc74b34cb0c1db4d203abbf8f725a9c3e926eb

See more details on using hashes here.

Provenance

The following attestation bundles were made for sendnn_inference-2.1.1-py3-none-any.whl:

Publisher: build_and_publish.yaml on torch-spyre/sendnn-inference

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page