Clarifai Powers Arcee’s Trinity LLMs

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Clarifai Becomes Home For Arcee’s Next-Gen Open Source Models
Clarifai Becomes Home For Arcee’s Next-Gen Open Source Models

Clarifai and Arcee AI have partnered to bring U.S.-built open-weight LLMs to production.

Clarifai has been selected as the primary launch partner and hosting provider for Arcee AI’s new Trinity family of U.S.-built open-weight foundation models, establishing a repeatable blueprint for any model lab seeking to ship home-trained or open-weight systems quickly and efficiently. The partnership signals a structural shift in the U.S. open-source ecosystem, pairing Arcee’s performance-per-parameter model design with Clarifai’s high-throughput, low-cost inference infrastructure.

Trinity Nano (6B) and Trinity Mini (26B) are now available on Clarifai’s Compute Orchestration platform, with a larger third model in development. The collaboration underscores the strategic move toward sovereign, licence-permissive AI, enabling model builders to train locally, publish openly, and deploy globally using OpenAI-compatible interfaces.

“Arcee AI is demonstrating what’s possible with efficient, open-weight U.S. models, and we’re proud to bring their Trinity family to production through Clarifai’s Compute Orchestration platform,” said Matt Zeiler, Founder and CEO, Clarifai. “This launch reflects exactly what our infrastructure is designed for—making it fast, reliable, and cost-effective for model builders to deploy their own custom or open-weight LLMs without having to stand up their own inference stack.”

“With the launch of Trinity, we’re showing that frontier models can be built quickly, with efficient capital, and still perform at the highest level,” said Mark McQuade, CEO, Arcee AI. “By partnering with Clarifai, the pace of collaborative research will continue to accelerate and help us create the next great frontier and foundational models.”

Developers gain immediate access to Trinity through an OpenAI-compatible API, full Playground integration, and enterprise-grade infrastructure optimised for open-weight deployment.

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