Skip to main content

vLLM plugin for Spyre hardware support

Project description

Spyre Plugin for vLLM

| 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.

The vLLM Spyre plugin (vllm-spyre) is a dedicated backend extension 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 vLLM Spyre 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

vllm_spyre-1.3.0.tar.gz (1.3 MB view details)

Uploaded Source

Built Distribution

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

vllm_spyre-1.3.0-py3-none-any.whl (87.8 kB view details)

Uploaded Python 3

File details

Details for the file vllm_spyre-1.3.0.tar.gz.

File metadata

  • Download URL: vllm_spyre-1.3.0.tar.gz
  • Upload date:
  • Size: 1.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for vllm_spyre-1.3.0.tar.gz
Algorithm Hash digest
SHA256 a14576d922a2a65afdd181a8ecd5346b6c82c326ad65a766f856bd3ad14db135
MD5 62e272ea1541cf6e12b7302e2d3dac5c
BLAKE2b-256 062540b55c06ee64444c86677516d8ed9ad785ea95328f8f6f80b9b17f2da939

See more details on using hashes here.

Provenance

The following attestation bundles were made for vllm_spyre-1.3.0.tar.gz:

Publisher: build_and_publish.yaml on vllm-project/vllm-spyre

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

File details

Details for the file vllm_spyre-1.3.0-py3-none-any.whl.

File metadata

  • Download URL: vllm_spyre-1.3.0-py3-none-any.whl
  • Upload date:
  • Size: 87.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for vllm_spyre-1.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 515baa17b17a4658f3e4d64bd089fd73850761e51247e8dbb48e2e1847b47b80
MD5 25772557b737d134abe144b3f6e67e48
BLAKE2b-256 a58754b4ea2cc172d188e73fbf2b66b99e462c4f327f7ea12f16f8adc28c1117

See more details on using hashes here.

Provenance

The following attestation bundles were made for vllm_spyre-1.3.0-py3-none-any.whl:

Publisher: build_and_publish.yaml on vllm-project/vllm-spyre

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