Nvidia Releases Nemotron 3 Open-Weights Models
Nvidia on Monday unveiled Nemotron 3, a family of open-weights large language models available in Nano, Super, and Ultra sizes (≈30B, 100B, 500B parameters), with Nemotron 3 Nano releasing this week and larger models expected in H1 next year. Nvidia will publish model weights, training data and NeMo Gym RL environments on repos like Hugging Face; models use hybrid latent MoE, Mamba-2/transformer layers, a million‑token context window and multi-token decoding for up to 3x inference speedups.
Key Points
- 1Announces Nemotron 3 open-weights LLMs in 30B, 100B, and 500B parameter sizes
- 2Implements hybrid latent MoE with Mamba-2 and transformer layers for long-context efficiency
- 3Publishes weights, training data, and NeMo Gym enabling enterprise customization and RL fine-tuning
Scoring Rationale
Official release of performant open models, datasets, and tooling enables broad enterprise adoption, amplified by Nvidia's ecosystem reach.
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