What AI models is NVIDIA planning to release?

As of March 2026, NVIDIA hasn't announced specific model names or release dates for its $26B initiative. The plan covers open-weight models across LLMs, multimodal, and domain-specific categories. NVIDIA's existing models (Cosmos for physical AI simulation, Nemotron series) may serve as the foundation.

Why is NVIDIA doing open-weight rather than fully open-source?

Open-weight means releasing trained model weights without necessarily disclosing training code, datasets, or full architecture details. Developers can use and deploy the models (creating NVIDIA ecosystem dependency), but competitors can't directly replicate the training process. This mirrors Meta's Llama strategy but with more direct commercial motivation.

Does this mean NVIDIA is competing with OpenAI and Anthropic?

In the open-weight model segment, yes—but it's a nuanced competition. NVIDIA's models are positioned to be freely available and hardware-optimized, targeting a different market segment than premium API services. The bigger strategic tension is that NVIDIA's biggest customers (OpenAI, Anthropic, Google) may accelerate diversification to AMD and custom accelerators if they view NVIDIA as a direct competitor.

— AI DAILY

Sources

AI Digest