LIVE: Nvidia CEO Jensen Huang speaks at Computex
TL;DR
Nvidia CEO Jensen Huang declares that agentic AI has arrived, driving a 3x surge in software development productivity and triggering the largest infrastructure buildout in history with $100 billion AI factories powered by the new Vera Rubin architecture.
🤖 Agentic AI & Developer Productivity 4 insights
Agentic AI officially arrives as profit driver
Huang announced that agentic AI has shifted from concept to profitable reality, transforming tokens into revenue-generating units that justify massive infrastructure investments.
GitHub commits triple in early 2026
Software development output measured by GitHub commits exploded from 300 million in 2023 to nearly triple the 2025 volume in just the first months of 2026.
$3 trillion salary generating $9 trillion output
Global software engineer salaries totaling $3 trillion annually now produce approximately $9 trillion in productive value due to AI assistance, driving demand for more engineers rather than job cuts.
CUDA X libraries become agent tools
Nvidia's 20 years of CUDA libraries are being repurposed as specialized skills that agents can autonomously discover and utilize through new orchestration harnesses.
⚡ Vera Rubin Architecture Revolution 3 insights
Vera Rubin is a full-stack system, not just a GPU
The platform integrates Vera GPUs, Vera CPUs, revolutionary storage systems, CX9 networking, BlueField DPUs, and DOA software into a single cohesive architecture designed for confidential computing.
New disaggregated computing model emerges
Agentic AI requires a distributed architecture where the LLM acts as the brain, the harness as the body, and tools operate across different CPUs and GPUs like a workshop with specialized equipment.
AI memory systems revolutionize data storage
Advanced KV caching, compaction, and ontology management for AI working memory will fundamentally transform enterprise storage architectures to support agent reasoning.
🏭 AI Factory Infrastructure Buildout 3 insights
$100 billion per gigawatt AI factories coming
By decade's end, 100 gigawatts of AI factory capacity will come online, with individual facilities costing up to $100 billion per gigawatt to construct and operate.
DSX platform manages entire AI factory lifecycle
Nvidia's DSX provides a full-stack blueprint including DSX SIM for Omniverse digital twin validation, DSX OSS for operations, and DSX Max LPS for dynamic power optimization that reduces overprovisioning by 40%.
Taiwan ecosystem drives 10% GDP growth
Huang credited Taiwan's supply chain ecosystem with enabling the AI revolution, noting the region's annual GDP is projected to grow nearly 10% due to skyrocketing compute demand.
Bottom Line
Organizations must immediately prepare for agentic AI by architecting disaggregated computing infrastructure and treating AI factories as strategic energy assets requiring full-stack optimization from chips to grid.
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