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Welcome to the Age of AI Factories
In a packed Taipei Music Center, NVIDIA CEO Jensen Huang delivered a groundbreaking keynote to launch COMPUTEX 2025, marking the beginning of a new technological eraâone that will redefine global industries and infrastructures just as electricity and the internet once did. Huangâs presentation wasnât just a product showcaseâit was a manifesto, signaling a seismic shift in how artificial intelligence will be developed, deployed and industrialized through the concept of âAI factories.â
Letâs dive into the key highlights of Huangâs visionary address and explore what it means for the future of AI, technology manufacturing, and global innovation.
đ COMPUTEX 2025 Summary: NVIDIAâs AI Revolution in
NVIDIA CEO Jensen Huang launched COMPUTEX 2025 by comparing AIâs emergence to historic innovations like electricity and the internet. His central thesis: AI is now infrastructure. This new foundation requires what Huang calls âAI factoriesââa next-generation evolution of traditional data centers. These facilities, he said, donât just store dataâthey generate “tokens,” outputs of intelligent computation that power today’s AI models.
A major theme was NVIDIAâs CUDA-X platform, which continues to gain massive traction among developers. Huang showcased how it supports a wide array of applications, including AI-driven 6G development and even quantum supercomputing acceleration.
Huang also introduced several new phases of AI development: from agentic AI (AI that can perceive, reason, and act) to physical AI and general robotics. To power these demanding workloads, NVIDIA is rolling out powerful systems like the Grace Blackwell NVL72 and pushing advancements in networking to break traditional data center limitations.
Taiwan plays a central role in this transformation. Huang revealed partnerships with Foxconn and the Taiwan government to build cutting-edge AI supercomputers. These will empower researchers, startups, and giants like TSMC with next-gen capabilities.
On the hardware front, NVIDIA is deploying Blackwell architecture everywhereâcloud, edge, and personal computing. New product announcements included:
DGX Spark â A personal AI supercomputer ready for developers.
DGX Station â A workstation-grade system able to run trillion-parameter models.
RTX PRO Servers â Enterprise-grade solutions for building local AI factories.
NVIDIA AI Data Platform â Intelligent storage optimized for AI workloads.
To further advance robotics, NVIDIA introduced Isaac GR00T, a humanoid AI training model, and Newton, a new physics simulation engine created with DeepMind and Disney. These tools aim to fast-track the next generation of physical, robotic AI.
Huang ended with the announcement of NVIDIA Constellationâa new Taiwan-based hub reflecting the company’s deep investment in the region and its tech ecosystem. Taiwan, once the factory of the world, is now positioning itself as the factory of intelligence.
đ§ What Undercode Say: NVIDIA Is Building the Foundation of AI Civilization
At COMPUTEX 2025, Jensen Huang didnât just introduce new chips or systemsâhe mapped out the infrastructure of the next industrial revolution, one powered entirely by AI. His term âAI factoriesâ is more than brandingâit encapsulates a strategic shift from siloed data processing to intelligent, industrial-scale computation.
Letâs analyze why this matters:
1. From Data Centers to Production Plants
Traditional data centers stored and processed information. But AI factories, as Huang describes them, are productive assetsâthey “manufacture” tokens, which are outputs of LLMs, generative models, and agentic systems. This analogy transforms the understanding of digital infrastructure into a production economy model.
2. Strategic Geographic Focus: Taiwan
Taiwan is no longer just a hardware hub. By building AI supercomputers and nurturing a regional AI ecosystem, NVIDIA and its partners are making Taiwan a global nerve center for intelligence manufacturing. This positions the island as a vital player in both geopolitical and technological terms.
3. One Architecture, Infinite Possibilities
NVIDIAâs unified Blackwell architecture spans every AI domainâfrom cloud to edge to enterprise to robotics. This approach allows for seamless scalability, fast deployment, and cost efficiency. Itâs a clever vertical strategy that maximizes compatibility and minimizes friction for adopters.
4. Robotics Meets Simulation
By partnering with Disney and DeepMind on Newton, NVIDIA is laying the groundwork for the future of robotics. Simulation-first training shortens development cycles, avoids real-world errors, and opens doors for mass-scale physical AI deployment.
5. Market Creation Over Market Capture
NVIDIA isnât just responding to AI demandâitâs manufacturing that demand. From agentic AI to digital twins, from DGX Spark to Omniverse, NVIDIA is creating a self-sustaining AI economy. Every tool, from hardware to software, feeds into the next.
6. Enterprise AI Goes Local
With RTX PRO Servers, even smaller organizations can deploy their own AI factories. This decentralizes AI power and enables specialized innovation across sectors like healthcare, finance, engineering, and defense.
7. Symbolism Matters
The reveal of âNVIDIA Constellationâ in Taiwanâcomplete with a cinematic videoâwasnât just showmanship. It symbolized a new era where the East is not just the world’s tech workshop, but its intelligence powerhouse.
â Fact Checker Results
- â Jensen Huangâs keynote at COMPUTEX 2025 is officially confirmed and publicly streamed.
2. â
- â Blackwell architecture and CUDA-X are in active deployment across major enterprise sectors.
đŽ Prediction: AI Factories Will Become a Trillion-Dollar Industry by 2027
NVIDIAâs push toward AI factories signals a dramatic restructuring of the tech landscape. Within the next two years:
Most major cloud providers and nations will build localized AI factories.
Robotics powered by simulated training will begin entering consumer and industrial markets.
Taiwan will rise in prominence not just as a chipmakerâbut as the brainmaker of the digital age.
This isnât just innovationâitâs transformation on a global scale.
References:
Reported By: blogs.nvidia.com
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