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Official Keynote Closing Video | GTC Taipei 2026

NVIDIANVIDIAJune 2, 2026 at 03:28 AM3:11
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TL;DR

Nvidia used Computex to unveil a sweeping push toward AI “agents,” new chips and networking, and infrastructure aimed at faster, cheaper inference at massive scale.

KEY POINTS

AI agents move to the center

The company framed the next phase of AI as “useful” agents that can plan, code, and act on behalf of users and businesses. It emphasized that individuals and small teams can now build companies from home, but that scaling these agents requires significantly more compute and efficient inference.

New silicon and faster inference

A new processor line, highlighted alongside Rubin, was positioned as purpose-built for agents, promising around 50% CPU performance gains and up to 10× faster inference with lower token costs. The pitch focused on reducing latency and operating expenses for real-time AI applications.

Networking and memory with BlueField and NVLink

BlueField data processing units were presented as critical for maintaining agent “memory” and data flow across systems. NVLink Fusion extends high-speed interconnects to custom ASICs, aiming to unify heterogeneous compute and let partners join a broader NVLink ecosystem.

Software stack: NeMo and guardrails

NeMo and NeMo Guardrails were positioned as core to building, aligning, and governing AI systems, with NeMo “Tron Ultra” cited for substantial productivity gains. Sandboxing and security layers were emphasized to keep autonomous systems controlled and auditable.

End-to-end AI “five-layer” stack

Nvidia described an integrated stack spanning models, orchestration, infrastructure, networking, and applications. The goal is to convert AI capability directly into revenue by streamlining deployment from development to production.

Data centers at gigawatt scale

The company pointed to global AI clouds operating at multi‑gigawatt levels, with systems designed to optimize every watt. Efficiency claims focused on performance per watt improvements and tighter integration across compute, networking, and storage.

PC and edge AI push

Consumer and enterprise PCs powered by RTX 40 GPUs were highlighted as a major platform shift, enabling local model execution alongside CPU-based orchestration. The approach blends on-device inference with cloud acceleration.

Robotics and synthetic data

Tools such as Cosmos and advanced simulation were presented as ways to train robots and autonomous systems using synthetic worlds. Emphasis was placed on perception, reasoning, and learning skills that translate from simulation to real environments.

CONCLUSION

Nvidia’s announcements underscore a strategy to own the full AI stack, from chips to software, while accelerating the shift toward autonomous agents and large-scale, energy-efficient AI infrastructure.

Full transcript

You're ready, Taiwan. >> [music] >> Let's do this. >> The keynote's done at Computex. Jensen showed the [music] world what's next. >> Useful AI has arrived. Agents working by your side. >> But in case you missed things we said [music] today, >> we're going to break it all down for you, Taipei. >> Agents used to be misunderstood. [music] Only movie stars had them in Hollywood. Now we all got teams making dreams come true. Building companies from living rooms, but they need so much compute. [music] We hear you. >> That's why we created Vera. >> Rubin's calling the shots, [music] it's true. The cheapest tokens coming through. >> 10 times faster inference, better than 007. [music] >> BlueField keeps agents' memory true. >> Now, let's talk about a CPU. >> 50% faster, [music] that's outrageous. >> Not for Vera. >> It's built for agents. >> NVLink Fusion blends ASICs [music] smartly. >> Everyone's welcome to the NVLink party. >> Well, if you liked that introduction, >> Zera Rubin's >> in full production. >> Nemo Tron Ultra [music] leads the run. 5x faster work gets done. >> Nemo Clock keeps the guardrails right. >> Open Shell keeps the sandbox tight. [music] >> Your code migrated and reviewed >> all before this song is through. >> The AI >> [music] >> is a five-layer cake for your revenue. >> MAKE NO MISTAKE. >> Global AI clouds for lots [music] of gigawatts. >> ESX keeps power lean, connecting dots. >> Every watt optimized for you. >> So you can have your cake >> and eat it, too. >> RTX 40 is finally here. [music] >> Biggest PC moment in 40 years. Ages powering our flows. >> [music] >> Running anywhere Windows go. Harnesses run on CPU. Models fly on GPU. Cosmos build worlds that robots need. Turning computing into synthetic beings. Alpha my [music] old C's and reason through. Understand roads like people do. Who is how they [music] learn to move. Learning skills and finding groove. You'll see >> [music] >> powered by thought. >> [music and singing] [music] [music] >> The future's [music] bright. Come see what's [singing] next. >> Thank you, Taiwan. >> [sighs] >> Welcome to Computex.

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