Jensen Huang took the stage at Computex 2026 in Taipei and did what he does best: unveiled a massive new AI model while wearing a leather jacket. The Nemotron 3 Ultra, packing roughly 500 to 550 billion parameters, is now the crown jewel of Nvidia’s open AI model family.
The keynote, delivered on June 1, 2026, at the Taipei Music Center, positioned Nvidia not just as a chipmaker but as a full-stack AI platform company.
What Nemotron 3 Ultra actually does
The Ultra’s 500-550 billion parameter framework is designed specifically for advanced reasoning and planning, including agentic workflows — AI systems that plan, execute, and iterate on multi-step tasks with minimal human oversight.
The Ultra sits at the top of a three-tier Nemotron 3 family. The Nano variant is already available for lighter workloads. The Super model, launched in March 2026 with 120 billion parameters, targets mid-range enterprise applications.
Nvidia’s team built the Nemotron 3 family using latent mixture-of-experts (MoE) techniques combined with NVFP4 training. The models activate only the relevant portions of their neural networks for any given task, rather than firing up all 500 billion parameters every time. The result is up to 5x higher throughput compared to previous versions.
Nvidia’s open model strategy is working
Over 50 million downloads of Nemotron 3 family models were recorded in the year leading up to April 2026.
The Computex keynote contained no mentions of blockchain or crypto-related initiatives, with coverage focused entirely on AI infrastructure and enterprise computing.
What this means for investors
The 5x throughput improvement means the cost-per-inference for enterprise AI drops significantly if those benchmarks hold in real-world deployments. The absence of cryptocurrency or blockchain mentions during the announcements suggests a focused strategy on hardware and AI, with implications for investors more keenly focused on traditional tech stocks than crypto plays.
Investors should watch whether the 50-million-download pace accelerates or plateaus in the quarters following the Ultra launch, as adoption velocity will indicate whether Nvidia’s open model strategy is building lasting market share.