The Linux AI and Data Foundation Announces OPEA for Advanced Enterprise AI Collaboration


Enterprise AI Software Stack, Image/Intel

The Linux Foundation AI and Data recently selected the Open Platform for Enterprise AI (OPEA) for its current Sandbox Project. OPEA provides secure and cheap generative AI (GenAI) deployments for organizations and businesses emphasizing interoperability. This goal will be accomplished through the retrieval-augmented generation (RAG) protocol:

This pioneering initiative unites industry leaders, including Anyscale, Cloudera, Datastax, Domino Data Lab, Hugging Face, Intel, KX, MariaDB Foundation, Minio, Qdrant, Red Hat, SAS, VMware (acquired by Broadcom), Yellowbrick Data, Zilliz and more to champion the development of open, multi-provider, robust, and composable GenAI systems.

The RAG ecosystem faces challenges even though successful creation of new projects and innovation is ongoing. this because of a lack of common standards for components that allow enterprises to choose and deploy RAG solutions successfully.

Standardization of the RAG ecosystem is critical for successful enterprise ecosystems:

OPEA intends to address these issues by collaborating with the industry to standardize components, including frameworks, architecture blueprints and reference solutions that showcase performance, interoperability, trustworthiness and enterprise-grade readiness. This will help drive adoption of RAG solutions in the enterprise and harness innovation across an open ecosystem.

Intel plans on participating in this endeavor with the intention to create an industrywide open platform for enterprise AI:
Initially in this effort, Intel plans to:

  • Publish a technical conceptual framework.
  • Release reference implementations for GenAI pipelines on secure solutions based on Intel® Xeon® processors and Intel® Gaudi® AI accelerators.
  • Continue to add infrastructure capacity in the Intel® Tiber™ Developer Cloud for ecosystem development, AI acceleration, and validation of RAG and future pipelines.
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