Nvidia taps Sarvam, Thinking Machines Lab, Mistral AI for a coalition to advance open frontier models

“Open models are the lifeblood of innovation and the engine of global participation in the AI revolution — for students, scientists, startups and entire industries,” said Nvidia founder Jensen Huang.

“The Nvidia Nemotron Coalition unites world-class AI labs to develop frontier open models that champion transparency, collaboration and sovereignty — broadening access to intelligence and ensuring the future of AI is shaped with the world and built for the world.”

Nemotron Coalition's first project will be a base model co-developed by Mistral AI and Nvidia, bringing together the AI expertise and technology of both companies. Members will contribute data, evaluations and domain expertise to support the model’s post-training and continued development, the company said.

Trained on Nvidia's DGX Cloud, the model will enable developers and organisations to post-train and specialise AI systems for their industries, regions and unique needs. It will also underpin Nvidia's upcoming Nemotron 4 family of models.

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How will members contribute to the Nemotron coalition?

Nvidia said members will contribute their unique expertise to collaboratively develop a shared model.

Contributions include Sarvam's sovereign language AI development expertise; Mistral AI's frontier model development capabilities including its expertise in building efficient customisable models that offer full control and Cursor's real-world performance requirements and evaluation datasets to improve the quality and reliability of these models.

They also include data collaboration with Thinking Machines Lab; multimodal capabilities from Black Forest Labs; high-performance AI systems from Perplexity; open systems from Reflection AI and specialisation in enabling AI agents with reliable tool use and long-horizon reasoning from LangChain.

“AI reaches its full potential when it works in every language and for every community,” said Sarvam co-founder Pratyush Kumar. "Open models make this possible by giving builders the freedom to adapt frontier capabilities to real-world needs."

"Sarvam will contribute our support to the Nvidia Nemotron Coalition to build open foundation models that are voice-first, language inclusive, understand local culture and provide a platform for developers to build applications that matter at population scale,” he added.

Last month, Sarvam launched two large language models, with 30 billion and 105 billion parameters, at the India AI Impact Summit. The company also unveiled products spanning vision, speech recognition, dubbing, conversational agents, text-to-speech, and wearables.

Murati said Thinking Machines Lab believes in AI that is "adaptable, collaborative and broadly accessible".

“Our research and the Tinker platform were made with that goal in mind, and we’re keen to support the Nemotron Coalition’s mission of democratising frontier AI capabilities,” she said.

Mistral AI co-founder Arthur Mensch noted that open frontier models are how AI becomes a "true platform"

“Together with Nvidia, we will take a leading role in training and advancing frontier models at scale. By shaping the capabilities of these systems from the ground up, we can help establish a global foundation for AI that empowers developers to build the next generation of applications,” he added.

Perplexity cofounder Aravind Srinivas said open models make AI more accessible at scale, giving builders the flexibility to improve performance, reduce costs and push AI applications into everyday use.

Cursor cofounder Michael Truelle said when frontier models are accessible and transparent, developers everywhere can help shape how this technology evolves.

“We have always been convinced that open models help drive frontier capabilities. Through coalitions like this one, between independent partners, we can reach the scale needed to accelerate the next generation of state-of-the-art open multimodal models,” said Black Forest Labs co-founder Robin Rombach.