Nvidia’s Huang: The Future of AI is Open and Orchestrated
Artificial intelligence is rapidly becoming a core component of business infrastructure, fueled by a diverse ecosystem of models ranging from large to small, open to proprietary, and generalist to specialist. Nvidia CEO Jensen Huang envisions a future where AI is ubiquitous, accessible to every country and utilized by every company, emphasizing that innovation isn’t about choosing between open and closed approaches.
The Convergence of Open and Proprietary AI
Speaking at NVIDIA GTC, Huang stated, “Proprietary versus open is not a thing. It’s proprietary and open.” This perspective highlights the importance of a combined approach, recognizing that different industries – healthcare, finance, manufacturing – face unique challenges requiring tailored AI solutions. The future, according to Huang, lies in systems of models, tuned and specialized for various modalities, domains, and organizations, working together to solve specific business problems.
Nvidia’s Commitment to Open Source AI
Nvidia is a significant contributor to the open-source AI community, currently the largest organization on Hugging Face with nearly 4,000 team members. At GTC, the company announced the NVIDIA Nemotron Coalition, a global collaboration of model builders and AI labs focused on advancing open, frontier-level foundation models through shared expertise, data, and compute resources.
The first project from the coalition will be a base model co-developed by Mistral AI and Nvidia, with contributions from coalition members in data, evaluations, and domain expertise. This model will be shared with the open ecosystem and will underpin the next generation of NVIDIA Nemotron models, which have already been downloaded over 45 million times from Hugging Face.
Key Insights from GTC Panel Discussions
Several members of the Nemotron Coalition, along with other leaders in the open model space, participated in panel discussions at GTC, revealing key trends and perspectives on the future of AI.
AI Agents as Collaborative Coworkers
“We’re soon going to see agents really be coworkers that can take on tasks that take many hours or many days, and do incredibly complex workloads,” said Michael Truell, CEO of Cursor.
The Orchestrated AI System
Aravind Srinivas, CEO of Perplexity, emphasized the necessitate for an orchestrated system, stating, “What you want is a multimodal, multi-model and multi-cloud orchestra…All you’ve got to do is delegate your task. You don’t have to worry about which model is good at what — it’s for the orchestration system to figure it out.”
The Power of Openness
Misha Laskin, co-founder and CEO of Reflection AI, highlighted the role of openness in driving innovation: “Models are fundamental knowledge infrastructure, and fundamental knowledge infrastructure yearns for openness…There’s a flourishing ecosystem of powerful, closed models but equally capable open models that are going to be coming over the next couple years.”
Trust and Accessibility in Open Systems
Anjney Midha, founder of AMP PBC, underscored the importance of trust in AI systems: “At the end of the day, you’re delegating trust…and it’s much easier to trust an open system.” Open ecosystems also democratize access to AI, allowing for broader collaboration and progress.
The Need for Generalist and Specialist AI
Daniel Nadler, CEO of OpenEvidence, drew a parallel between AI and societal organization: “You have to sort of shape AI the way you shape society…You have generalists working alongside world-class specialists.” Specialized AI, combined with open foundations and proprietary data, unlocks unique value for organizations and researchers.
Watch the GTC session highlights on YouTube and start building with NVIDIA Nemotron open models.