NVIDIA today released the Nemotron 3 family of open‑source AI models, adding three new variants—Nano, Super, and Ultra—to its portfolio. The launch extends NVIDIA’s strategy of providing high‑throughput, agentic AI solutions that can run on its GPUs and on‑premises or in private clouds.
The Nano variant is immediately available and delivers up to four times the token‑throughput of the previous Nemotron 2 Nano, thanks to a hybrid mixture‑of‑experts architecture that balances compute and memory efficiency. Super and Ultra are slated for release in the first half of 2026, offering higher model sizes and inference speeds for enterprise workloads that demand larger context windows and more complex reasoning.
By making these models open source, NVIDIA aims to lower barriers for developers and researchers, positioning its CUDA‑based software stack as the default platform for AI innovation. The move counters the growing popularity of open‑source models from Chinese labs such as DeepSeek and Alibaba’s Qwen, and supports sovereign‑AI initiatives that allow governments to build compliant, on‑premises systems.
Jensen Huang, NVIDIA’s CEO, said, “Open innovation is the foundation of AI progress. With Nemotron, we’re transforming advanced AI into an open platform that gives developers the transparency and efficiency they need to build agentic systems at scale.” Bill McDermott, CEO of ServiceNow, added, “Nemotron 3 will accelerate our agentic AI strategy, delivering unmatched speed and accuracy for enterprise automation.”
Following the announcement, NVIDIA’s stock rose 1.35%, reflecting investor confidence in the company’s expanded open‑source strategy and its ability to capture a larger share of the agentic‑AI market. Analysts highlighted the launch as a key driver of NVIDIA’s competitive moat and a signal of continued leadership in AI infrastructure.
The Nemotron 3 release positions NVIDIA to capture a broader developer community, deepen adoption of its GPUs, and strengthen its foothold in high‑growth sectors such as autonomous vehicles, robotics, and enterprise automation. The open‑source approach also signals NVIDIA’s commitment to fostering a global AI ecosystem that balances innovation with data‑privacy and national‑security concerns.
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