March 16, 2026 — Nvidia Chief Executive Jensen Huang is scheduled to deliver the keynote address for the company’s annual GPU Technology Conference (GTC) today. The presentation, set for 11 a.m. Pacific Time, will outline Nvidia’s vision for the future of computing and artificial intelligence.
How to Watch the GTC Keynote
The keynote will be livestreamed from the SAP Center in San Jose, California. Viewers can watch the two-hour address on the official Nvidia GTC event website. The broader conference runs from March 16 to March 19, featuring sessions on AI applications across healthcare, robotics, and autonomous vehicles.
Nvidia typically uses its flagship event to announce new products and strategic partnerships. Industry analysts expect this year’s focus to center on scaling AI deployment beyond initial training phases.
Anticipated Software and Hardware Announcements
Rumors suggest Nvidia may introduce significant new offerings. On the software front, the company is reportedly preparing to release an open-source platform for enterprise AI agents. This platform, referred to as NemoClaw in earlier reports by Wired, would provide businesses with tools to build and deploy autonomous AI agents.
Such a move would position Nvidia more directly against companies like OpenAI in the enterprise AI tools market. The platform aims to give businesses a structured method for creating software that can execute multi-step tasks without constant human oversight.
Focus on AI Inference Acceleration
A major hardware announcement is also anticipated. Nvidia is rumored to be unveiling a new chip architecture specifically designed to accelerate AI inference. Inference is the process where a trained AI model generates responses or makes decisions.
This phase requires less raw computing power than the initial training of models but is critical for real-world application performance and cost. Faster, more efficient inference is widely considered a key bottleneck for the broad adoption of AI across industries.
The rumored chip represents a strategic push. Nvidia already commands an estimated 80% share of the market for AI training chips. A new inference-focused product would be its latest bid to dominate the inference market, where competition from custom chips built by Google, Amazon, and other tech giants is intensifying.
Strategic Partnerships and Industry Showcases
The keynote and following conference days will feature demonstrations of Nvidia’s AI technology across various sectors. Partnership announcements with other industry leaders are expected.
One area of particular interest is Nvidia’s relationship with Groq, a company specializing in inference technology. Nvidia reportedly paid $20 billion late last year to license Groq’s technology. Groq founder Jonathan Ross, president Sunny Madra, and other team members agreed to join Nvidia to help advance that licensed tech.
Kevin Cook, a senior equity strategist at Zacks Investment Research, previously told TechCrunch that attendees should expect to learn more about Nvidia’s plans for this partnership. The integration of Groq’s team and technology is a significant development for Nvidia’s inference roadmap.
What’s Next for Nvidia and AI
Jensen Huang’s keynote will set the tone for a conference dedicated to the next phase of AI integration. The expected emphasis on inference and enterprise deployment signals a shift from building powerful AI models to implementing them efficiently at scale.
Success in the inference market is not guaranteed, given the rising competition. However, today’s announcements will clarify Nvidia’s strategy to maintain its dominance as AI moves from research labs into global business operations.
This article was produced with AI assistance and reviewed by our editorial team for accuracy and quality.
