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

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

As part of the agreement, Thinking Machines will deploy at least 1 gigawatt of next-generation NVIDIA Vera Rubin AI systems to support training of frontier AI models and platforms designed to deliver customizable AI tools at scale.

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

The partnership also includes collaboration on designing training and service systems optimized for NVIDIA hardware.

The companies said the partnership aims to make advanced AI models widely accessible to businesses, research institutions, and the broader scientific community.

NVIDIA is also investing in Thinking Machines Lab to support the company’s long-term development, but financial details have not been 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 tool in human history,” said Jensen Huang, Founder and CEO of NVIDIA. “Thinking Machines has assembled a world-class team to advance the frontiers of AI. We are excited to partner with Thinking Machines to realize their exciting vision for the future of AI.”

“NVIDIA technology is the foundation on which this entire space is built,” said Mira Murati, co-founder and CEO of Thinking Machines. “This partnership accelerates our ability to build AI that people can shape and make their own, which in turn shapes human potential.”

Supports broad access to advanced AI

The companies said the partnership will focus on building an infrastructure that can support increasingly complex AI systems, while also making advanced models more accessible to organizations outside of large technology companies.

The partnership 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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