The Allen Institute for AI (Ai2) has announced a strategic partnership with Google Cloud to make its full portfolio of open-source AI models available through Vertex AI Model Garden. This collaboration is set to redefine transparency in AI by combining Ai2’s cutting-edge, openly available models with Google Cloud’s robust AI development platform and enterprise-grade infrastructure.
As AI continues to reshape the global business and government landscape, many organizations still face roadblocks around model transparency and data privacy. These challenges are particularly pressing in the public sector and highly regulated industries, where trust and compliance are essential. Open-source AI offers a powerful alternative—one that unlocks broader innovation while ensuring responsible deployment.
Through this partnership, Ai2 and Google Cloud will empower customers to seamlessly access, customize, and deploy AI solutions that are both high-performing and transparent.
“This partnership is a reflection of our shared vision with Google Cloud to address the current limitations in AI deployment by building the next generation of truly open and trustworthy AI,” said Ali Farhadi, CEO, the Allen Institute for AI. “While openness is key to building trust and advancing the development of AI, accessibility and data privacy are similarly fundamental to the acceleration of innovation across industries. By providing access to its AI-enabled infrastructure to support advanced and efficient model training, Google Cloud is critical to ensuring we can deliver state-of-the-art, transparent AI solutions while adhering to the strictest privacy standards, paving the way for a more secure and impactful future with AI. This will ultimately empower entire industries and even regulated sectors like government, health, sciences and more to do something they simply can’t today: transform their domains with truly open AI.”
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The joint effort aims to accelerate AI innovation in public and private sectors alike by providing scalable computing resources and fostering an open, trustworthy development environment.
“In the public sector, trust is paramount. Transparency and accessibility are not just ideals; they are the foundation for deploying AI that improves citizen services,” said Karen Dahut, CEO, Google Public Sector. “True openness, particularly in the creation and validation of AI models, is crucial for building that trust. Ai2’s commitment to fully open training code, evaluation methods, and data aligns perfectly with our mission to drive responsible and effective AI innovation within government. We are proud to partner with Ai2 to deliver AI solutions directly to researchers, government agencies, and other public sector leaders to ensure widespread benefits to citizens.”
Unlocking Access to Ai2’s Full Model Portfolio via Vertex AI
As part of the collaboration, Ai2 will release its entire family of open-source models—including OLMo, Tulu, and Molmo—within Google Cloud’s Vertex AI Model Garden. These models will be accessible through APIs as part of Vertex AI’s Model-as-a-Service (MaaS) offering. Additionally, researchers and developers can access open datasets, training recipes (including all Tulu recipes), and fine-tuning capabilities tailored to specific enterprise use cases.
Introducing OLMo 32B: High-Performance, Cost-Effective Open AI
A highlight of the announcement is the availability of OLMo 32B, Ai2’s latest large language model. Trained on Google Cloud’s infrastructure using a 160-node GPU cluster (each node equipped with 8 Nvidia H100 GPUs and GPUDirect-TCPXO interconnect), OLMo 32B delivers high-speed performance at 1800 tokens per second. Designed for real-world deployment, it offers the sophistication of a large model with the efficiency to run on a single GPU box—balancing cost, scalability, and accessibility.
OLMo 32B exemplifies Ai2’s mission to make AI more practical and affordable without sacrificing performance. By lowering the barrier to entry, Ai2 enables businesses, developers, and public institutions to innovate faster and more effectively.