Nvidia releases cutting-edge open AI models

Nvidia, the world's top chipmaker, has released a series of advanced open-source AI models known as Nemotron 3, along with supporting data and tools for engineers. This move positions the company as a more serious player in AI model development beyond its hardware dominance. The initiative underscores Nvidia's push for open-source AI success amid competition from rivals' silicon in closed models.

Nvidia has built its fortune by supplying high-performance chips to companies advancing artificial intelligence. On December 15, 2025, the chipmaker announced a significant expansion into AI model creation with the release of Nemotron 3, a family of cutting-edge open models. These models are designed to be accessible, accompanied by datasets and engineering tools that facilitate their use and customization.

This development marks Nvidia's intent to foster the growth of open-source AI. As closed-source models from competitors like OpenAI and Google increasingly leverage silicon from Nvidia's rivals—such as those from AMD or Intel—Nvidia appears to be strategically supporting open alternatives that align with its hardware ecosystem. The Nemotron 3 models aim to provide robust performance in areas like chatbots and other AI applications, potentially broadening Nvidia's influence in the software side of AI.

While Nvidia remains primarily a hardware leader, this release signals a deeper involvement in the end-to-end AI pipeline. Engineers and developers now have resources to build upon these models, which could accelerate innovation in open-source AI projects globally.

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Stock traders react with concern to Tesla shares dropping amid Nvidia's open-source AI models announcement for autonomous driving.
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Tesla stock falls after Nvidia launches open-source AI models

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Tesla's shares dropped around 3% on Tuesday following Nvidia's announcement of new open-source AI models for autonomous driving. The 'Alpamayo family' aims to enable humanlike thinking in vehicle decision-making. Investors reacted amid concerns over intensifying competition in the self-driving sector.

Nvidia has announced a significant push into open-source AI, including the acquisition of SchedMD and the release of Nemotron 3 models. CEO Jensen Huang emphasized the importance of open innovation in AI progress. These moves aim to enhance multi-agent workflows and strengthen open-source software capabilities.

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Nvidia's dominance in AI chips could extend to the burgeoning humanoid robotics market. Companies like Tesla and BYD plan to launch consumer robots in 2026, relying heavily on Nvidia's technology. A market report projects rapid growth for the sector through 2034.

Experts foresee 2026 as the pivotal year for world models, AI systems designed to comprehend the physical world more deeply than large language models. These models aim to ground AI in reality, enabling advancements in robotics and autonomous vehicles. Industry leaders like Yann LeCun and Fei-Fei Li highlight their potential to revolutionize spatial intelligence.

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Nvidia has reported a massive jump in quarterly profit amid a broader boom in artificial-intelligence investment, intensifying debate over whether current valuations signal transformative growth or an emerging bubble. While Nvidia’s results have underscored its central role in powering AI systems, some analysts warn that today’s exuberance may not be sustainable, reflecting wider uncertainty about the economy and political landscape.

Building on the recent Optimus robot demo at Berlin's Christmas market, Tesla is accelerating its AI focus to transform mobility and robotics by 2026—despite robotaxi delays—with plans for advanced Optimus humanoids, AI5 chips, a next-gen sports car, Tesla Semi expansions, and energy innovations.

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Hangzhou-based startup DeepSeek has not announced plans for its next major AI model release, but its technical papers suggest potential advances. The papers highlight how AI infrastructure innovations could drive efficiency and scale up model performance.

 

 

 

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