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-1.2.3.tar.gz (1.2 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-1.2.3-py3-none-any.whl (79.7 kB view details)

Uploaded Python 3

File details

Details for the file vllm_spyre-1.2.3.tar.gz.

File metadata

  • Download URL: vllm_spyre-1.2.3.tar.gz
  • Upload date:
  • Size: 1.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for vllm_spyre-1.2.3.tar.gz
Algorithm Hash digest
SHA256 47ce6e63b70996e1d67aae5c037513d13a25a33bcf680726f3c8890c4e808570
MD5 71a88cce31f148bd0e7f58a400401cfc
BLAKE2b-256 5ea847b91f36359be4825377ef371e87e27fac36bdd1556da6479a19a496a9c4

See more details on using hashes here.

Provenance

The following attestation bundles were made for vllm_spyre-1.2.3.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-1.2.3-py3-none-any.whl.

File metadata

  • Download URL: vllm_spyre-1.2.3-py3-none-any.whl
  • Upload date:
  • Size: 79.7 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-1.2.3-py3-none-any.whl
Algorithm Hash digest
SHA256 adfca6f1a5436f6971e07df83e38f47bcf197d3d0e05619d953203dac199242c
MD5 7056857fe3e716904f70eca1ede43dec
BLAKE2b-256 7279afeeba631fd9b06a26a83c036d6335415bde6d745543dfbeeab9660a5dea

See more details on using hashes here.

Provenance

The following attestation bundles were made for vllm_spyre-1.2.3-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