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Mira Murati’s Thinking Machines partners with NVIDIA to build next-generation AI systems

NVIDIA Thinking Machine
Image credits: NVIDIA

NVIDIA and Thinking Machines Lab have announced a multiyear strategic partnership focused on building infrastructure for large-scale artificial intelligence systems.

As part of the agreement, Thinking Machines plans to deploy at least one gigawatt of next-generation NVIDIA Vera Rubin AI systems to support the training of frontier AI models and platforms designed to deliver customizable AI tools at scale.

The deployment of the new infrastructure is expected to begin early next year.

The collaboration will also include joint work on designing training and serving systems optimized for NVIDIA hardware.

The companies said the partnership aims to support wider access to advanced AI models for enterprises, research institutions and the broader scientific community.

NVIDIA has also made an investment in Thinking Machines Lab to support the company’s long-term development, though financial details were not disclosed.

Building infrastructure for next-generation AI models

Jensen Huang said artificial intelligence is becoming an increasingly powerful tool for scientific discovery.

“AI is the most powerful knowledge discovery instrument in human history,” said Jensen Huang, founder and CEO of NVIDIA. “Thinking Machines has brought together a world-class team to advance the frontier of AI. We are thrilled to partner with Thinking Machines to realize their exciting vision for the future of AI.”

“NVIDIA’s technology is the foundation on which the entire field is built,” said Mira Murati, cofounder and CEO of Thinking Machines. “This partnership accelerates our capacity to build AI that people can shape and make their own, as it shapes human potential in turn.”

Supporting broader access to advanced AI

The companies said the partnership will focus on building infrastructure capable of supporting increasingly complex AI systems while also making advanced models more accessible to organisations beyond large technology firms.

The collaboration reflects the growing demand for large-scale computing infrastructure as companies and research institutions race to develop more powerful artificial intelligence models.

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