NVIDIA Debuts Nemotron 3 Family of Open Models
NVIDIA's Nemotron 3 models deliver up to 4x higher token throughput and reduce inference costs by up to 60%, enabling scalable, specialized agentic AI development.
- NVIDIA announced the Nemotron 3 family in Santa Clara, bundling Nano, Super, Ultra, training datasets, NeMo Gym, and open libraries for AI agents.
- Using a hybrid latent mixture‑of‑experts and Mamba‑Transformer design, NVIDIA aimed to boost scalability and give developers transparent, efficient open models for agentic AI.
- NVIDIA reports Nemotron 3 ships in three sizes with a 1 million token context window, NVFP4 training, and up to 4x throughput gains, reducing reasoning tokens by 60%.
- Nemotron 3 Nano is available today on Hugging Face and inference service providers, with public cloud availability via Amazon Bedrock coming soon, and early adopters including Accenture, CrowdStrike, and Zoom integrating the models.
- Competitors and cloud vendors are offering related tools, placing Nemotron 3 in an active competitive landscape, as NVIDIA positions it to support sovereign AI and scalable multi‑agent systems.
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