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The Linux Foundation’s LF AI & Data Foundation announced the Open Platform for Enterprise AI (OPEA) as its latest Sandbox Project. This initiative unites industry leaders, including Anyscale, Cloudera, Datastax, Domino Data Lab, Hugging Face, Intel, KX, MariaDB Foundation, Minio, Qdrant, Red Hat, SAS, VMware, Yellowbrick Data, Zilliz and more to champion the development of open, multi-provider, robust, and composable GenAI systems.
The mission of LF AI & Data is to build and support an open artificial intelligence (AI) and data community and drive open-source innovation in the AI and data domains by enabling collaboration and creation of new opportunities for all members of the community. OPEA aims to facilitate and enable the development of flexible, scalable GenAI systems that harness the best open-source innovation from across the ecosystem.
OPEA is emerging at a time when GenAI projects, particularly those utilizing RAG, are becoming increasingly popular for their capacity to unlock significant value from existing data repositories. The swift advancement in GenAI technology, however, has led to a fragmentation of tools, techniques, and solutions. OPEA intends to address this issue by collaborating with the industry to standardize components, including frameworks, architecture blueprints, and reference solutions that showcase performance, interoperability, trustworthiness, and enterprise-grade readiness.
About LF AI & Data Foundation
LF AI & Data is an umbrella foundation of the Linux Foundation that supports open-source innovation in artificial intelligence (AI) and data. LF AI & Data was created to support open-source AI and data, and to create a sustainable open-source AI and data ecosystem that makes it easy to create AI and data products and services using open-source technologies. The organization looks to foster collaboration under a neutral environment with an open governance in support of the harmonization and acceleration of open-source technical projects.
Further information on Industrial AI's Role in Digital Transformation of Manufacturing Industries is available here.