The Future of AI Is Open and Proprietary

What’s Happening

Let’s talk about AI is the defining technology of our time, quickly becoming core business infrastructure.

It’s fueled by a diverse ecosystem of models: large and small, open and proprietary, generalist and specialist. This variety is essential for a future where every app will be powered by AI, every country will build it and every company will use [] The Future of AI Is Open and Proprietary AI leaders — including the CEOs of Mistral, Perplexity, Cursor, Reflection AI and Thinking Machines Lab — agree that open model efforts are beneficial for innovation across the AI ecosystem. (wild, right?)

By Kari Briski This Article X Facebook LinkedIn Copy link Link copied!

The Details

And it’s not a debate between open versus closed innovation. As NVIDIA founder and CEO Jensen Huang told attendees at a special session on open frontier models at NVIDIA GTC , “Proprietary versus open is not a thing.

” That’s why the future of AI innovation isn’t about a single massive model. Every industry — healthcare, finance, manufacturing — tackles its own unique challenges.

Why This Matters

They all need AI that can reason about their data and workflows in various ways. And that requires systems of models, tuned and specialized for different modalities, domains and organizations, working together to solve a specific business problem. NVIDIA is a major contributor to open source AI: it’s now the largest organization on Hugging Face , with nearly 4,000 team members .

This adds to the ongoing AI race that’s captivating the tech world.

The Bottom Line

And at GTC, the company just dropped the NVIDIA Nemotron Coalition , a first-of-its-kind global collaboration of model builders and AI labs working to advance open, frontier-level foundation models through d expertise, data and compute. The first project stemming from the coalition will be a base model codeveloped and NVIDIA, with coalition members contributing data, evaluations and domain expertise to support the model’s post-training and continued development.

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