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Google DeepMind and NVIDIA will make the power of Gemini available to more people

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Mackenzie Ferguson

Edited By

Mackenzie Ferguson

AI Tools Researcher & Implementation Consultant

Google DeepMind’s Gemini is the result of decades of large language model research and is our most capable AI model. This week we’ll share how rapid advances in Gemini are designed to support more developers and end users — and how our collaboration with NVIDIA is helping to make that possible. The Google DeepMind team also released Gemma 3 last week, the latest in our collection of lightweight, state-of-the-art open models. NVIDIA played a key role in the development of these open models, working closely with our researchers to optimize Gemma to run on its vast accelerated computing ecosystem. This means developers can easily access the same technology that powers Gemini and implement it on any NVIDIA GPU available to them. Separately, NVIDIA also announced today that it has employed Google DeepMind’s SynthID watermarking tool on its Cosmos video generation platform. This marks our first external deployment of the technology, and we’re proud to help instill user trust in AI-generated content.

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