Meta and IBM-founded non-profit AI Alliance released an open-source platform for sovereign AI deployments.
Project Tapestry envisions institutions, industries, and nations collaborating on more capable open base models. According to the Alliance, the platform allows parties to keep control over their own data and allow flexibility to build sovereign derivative models reflecting “their own priorities, industries, culture, laws, and values.”
The ventures long term goal is to foster an open global model capable of drawing on broader pools of expertise, compute, and domain knowledge, capable of feeding into such sovereign-specific models.
“The AI Alliance was founded on the principle that open innovation can produce AI that is more capable, more accountable, and more broadly beneficial,” AI Alliance Chairman Anthony Annunziata, explained. “Project Tapestry is an ambitious step toward making that principle real in infrastructure form: a path for the world to build the most advanced and capable AI collaboratively, but without giving up sovereignty.”
“Until now, many sovereign and sector-specific AI efforts have faced steep barriers in compute, data access, funding, and specialized talent,” Christopher Nguyen, chief architect of Project Tapestry and board member of the AI Alliance, added. “Project Tapestry is designed to overcome that constraint through federated collaboration. The idea is simple but powerful: build a shared global base openly, then enable each participant to extend it in ways they fully own and control.”
The AI Alliance also announced Yann LeCun, chairman of AMI Labs and former chief AI scientist for Meta, would join its ranks as chief science advisor. LeCun is expected to guide the scientific direction of the Alliance through development of Project Tapestry.
The AI Alliance is a non-profit 501(c)(3) organization with more than 200 members. Co-founded in 2023 by Meta and IBM, members include AMD, Dell Technologies, Hitachi, Hugging Face, Intel, Kakao, NEC, Oracle, Red Hat, Uber, and the Linux Foundation.
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