Nvidia’s Computex Keynote 2026 in 12 Minutes

PCMag
PCMagJun 1, 2026

Why It Matters

The announcements cement Nvidia’s role as the hardware and software backbone of the emerging agent‑centric AI economy, forcing competitors and enterprises to adopt its end‑to‑end stack or risk obsolescence.

Key Takeaways

  • Agentic AI is now production-ready, driving new computing paradigm.
  • Nvidia unveils Vera Rubin, an end‑to‑end AI super‑system.
  • RTX Spark PC integrates Blackwell GPU, Grace CPU, 768 GB memory.
  • Open models Cosmos, Nemotron 3 Ultra, Alpha Mile 2 announced.
  • Isaac Groot platform standardizes robotics development across industries.

Summary

At Computex 2026, Nvidia CEO Jensen Huang announced a sweeping shift toward “agentic AI,” positioning the company’s new hardware and software stack as the foundation for the next decade of computing.

The centerpiece is Vera Rubin, a massive end‑to‑end system that combines NVLink‑72 GPUs, a 256‑CPU liquid‑cooled rack, and the BlueField storage processor delivering 3.6 TB/s fabric bandwidth. Nvidia also unveiled RTX Spark, a consumer‑grade PC built around a Blackwell GPU with 6,144 CUDA cores, a custom 20‑core Grace CPU, 768 GB unified memory, 1 PFLOP AI performance and 8 TB/s bandwidth.

Huang highlighted that agents now replace traditional UI interactions: users describe intent and the AI orchestrates code, tools, and data. He demoed the open‑source Nemotron 3 Ultra model, the Cosmos foundation model for physical‑world AI, and Alpha Mile 2, an autonomous‑driving model covering roughly 80 % of global car makers.

By delivering a full‑stack AI factory—from cloud super‑computers to desktop PCs and robot platforms—Nvidia aims to make AI development as ubiquitous as the PC, reshaping software hiring, enterprise workloads, and the robotics supply chain.

Original Description

NVIDIA CEO Jensen Huang took the stage at GTC to unveil the new Vera Rubin AI computing platform, the Vera CPU, a new collaboration with Microsoft that promises to “reinvent” the PC and its new open source AI models.
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