iPhone maker Foxconn partners with Nvidia to build new AI factory in Taiwan
Nvidia and Foxconn at Computex 2025 announced a major collaboration to build a next-generation AI supercomputer in Taiwan. Operated by Foxconn's subsidiary Big Innovation Company, the supercomputer will house 10,000 Nvidia Blackwell GPUs, making it one of the most powerful AI systems in Asia. The project is supported by Taiwan's National Science and Technology Council and will serve as a national AI infrastructure hub, giving startups, researchers, and enterprises access to state-of-the-art computing. Taiwan's semiconductor giant TSMC will also benefit, using the AI factory to supercharge R&D and reduce development timelines.
Nvidia CEO Jensen Huang hailed the initiative as a foundation for the 'next industrial revolution,' saying, 'We are delighted to partner with Foxconn and Taiwan to help build the nation's AI infrastructure.'
Foxconn Chairman Young Liu emphasised the company's evolving role in powering AI-driven innovation, not just manufacturing. The supercomputer will support Foxconn's efforts across smart cities, electric vehicles, and automated manufacturing, enabling more intelligent systems and faster development cycles.
Mobile Finder: Samsung Galaxy S25 Edge launched in India
The AI factory will feature Nvidia's Blackwell Ultra systems, including the GB300 NVL72 rack-scale platform, with cutting-edge networking via NVLink and Spectrum-X Ethernet. Beyond hardware, the facility will integrate with Nvidia DGX Cloud Lepton, offering flexible GPU access to a wide range of users, from university researchers to deep tech startups.
This infrastructure is central to Taiwan's goal of building a 'smart AI island,' with support for urban planning, healthcare, and AI education. Minister Wu Cheng-Wen confirmed the government's commitment to fostering a robust AI ecosystem in southern Taiwan.
TSMC CEO Dr. C.C. Wei called the project essential to the company's mission of driving semiconductor innovation through AI. Faster compute means faster breakthroughs, giving TSMC and its partners a competitive edge.
With Nvidia's technology, Foxconn's infrastructure, and government backing, Taiwan is laying the groundwork for a future defined by intelligent systems and AI-enabled industry.
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
&w=3840&q=100)
Business Standard
3 hours ago
- Business Standard
Nvidia's Jensen Huang says quantum computing nears key breakthrough
Nvidia Corp. Chief Executive Officer Jensen Huang said Wednesday that quantum computing is reaching an inflection point and will be powerful enough in the coming years to help 'solve some interesting problems' globally. Quantum computing, which technology companies have been developing for decades, is set to take off with systems rapidly becoming 'more robust, higher performance and more resilient,' Huang said during a keynote speech at a company event being held jointly with the VivaTech 2025 conference in Paris. The quantum-computing industry aims to use the unique properties of subatomic particles to process data much faster than traditional semiconductor-based electronics. The technical difficulties and high costs of building practical systems have meant that the field has been stuck in an experimental stage. Companies such as Microsoft Corp. and Alphabet Inc.'s Google have been trying find practical uses for quantum systems. Shares of companies developing quantum technology rose in premarket trading on Huang's comments. US-listed D-Wave Quantum Inc. rose about 2per cent and IonQ Inc. increased 3.6per cent. Rigetti Computing Inc. was up 4.5per cent and Quantum Computing Inc. gained 8.4per cent before New York exchanges opened. Nvidia's chips will be used to support quantum computing and the company's entire quantum algorithm stack will be available and accelerated on its Grace Blackwell 200 chip, Huang said. Quantum computers have the potential to vastly accelerate the operating speed of large language models and create more powerful AI. Huang's forecast marks a change in tone from January, when he said that 'very useful' quantum computers, which are still largely used by researchers, were likely still decades away. Quantum computers can process information and solve problems much quicker than classical computers because they can make calculations in parallel rather than sequentially. Traditional computers process information in bits — which have only two possible states, 0 or 1, and must be assigned a value before the machine moves on to the next piece of information. Meanwhile, a quantum computer's qubits can hold a 'superposition,' where they aren't assigned a value until the computer is finished with the entire calculation and work together instead of operating independently. 'Just like Moore's Law, I could totally expect 10 times more logical qubits every five years, 100 times more logical qubits every 10 years,' Huang said.
Time of India
3 hours ago
- Time of India
Nvidia CEO Jensen Huang announces major AI infrastructure push into Europe
Representative Image US chip giant Nvidia on Wednesday announced a broad infrastructure push into Europe, partnering with local companies to help build the continent's "own ecosystem" for AI, chief executive Jensen Huang said in Paris. "In just two years we will increase the amount of AI computing capacity in Europe by a factor of 10," Huang told attendees at the French capital's annual Vivatech trade fair, striding around the stage wearing his trademark leather jacket. California-based Nvidia is by far the largest producer of chips for AI -- notably the Graphics Processing Units (GPUs) originally developed for high-end gaming. Nvidia's chips have proved uniquely suited for generative AI, whether powering robots, software or self-driving cars. Singling out a local firm, Huang said Nvidia would partner with French AI startup Mistral to build a cloud platform powered by 18,000 of Nvidia's latest high-end Blackwell chips. Basing the billions of euros (dollars) worth of hardware in Europe would offer firms the "strategic autonomy they need", Mistral chief Arthur Mensch told AFP, adding that the project would "strengthen European technological leadership". Huang said that Nvidia would build up existing partnerships, such as with French electrical goods maker Schneider Electric, including on developing gigantic data centres dedicated to AI -- which Nvidia calls "AI factories". It will also strengthen work with Germany's Siemens on so-called "digital twins" simluating real-world environments, and on automating industrial processes. Nvidia plans to feed its chips into data centres across Europe, including in Spain, Italy, Britain, Finland, Germany and Sweden. The world's government chiefs "all want to have AI factories, they all want AI to be part of their infrastructure," Huang said. He added that Nvidia was partnering with major companies to develop their own AI models more easily, such as French banking giant BNP or cosmetics heavyweight L'Oreal. "I'm so happy that Europe is going all-in on AI," he said. Europe is well behind competitors like the United States and China in building up the computing power needed to power generative artificial intelligence. The continent hosts "less than five percent of global computing power, whereas we consume 20 percent," French President Emmanuel Macron's office said in a press briefing ahead of the leader's visit to Vivatech. With its ability to sell into China still crimped by American export restrictions, Nvidia is on the hunt for growth opportunities elsewhere around the world. AI Masterclass for Students. Upskill Young Ones Today!– Join Now
Time of India
4 hours ago
- Time of India
‘He thinks AI is so scary': Nvidia CEO Jensen Huang slams Anthropic chief's grim job loss predictions
At the bustling tech summit VivaTech 2025 in Paris, sparks flew beyond the mainstage when Nvidia CEO Jensen Huang publicly dismantled a dire warning made by Anthropic CEO Dario Amodei . Amodei, who has increasingly become the face of cautious AI development, recently predicted that artificial intelligence could wipe out up to 20% of entry-level white-collar jobs in the next five years. But Huang isn't buying the doom. 'I pretty much disagree with almost everything he says,' Huang told reporters. 'He thinks AI is so scary, but only they should do it.' AI Won't Kill Jobs—It Will Transform Them While Amodei urges governments to stop 'sugarcoating' AI's disruptive potential, Huang sees a different future—one where AI isn't a harbinger of mass unemployment, but a catalyst for evolution. 'Do I think AI will change jobs? It's changed mine,' Huang said. 'Some jobs will go, yes, but AI also opens doors we couldn't even see before.' He likened the field of AI to medical science, where openness and peer review help guide ethical growth. In Huang's view, safe and responsible AI doesn't require monopolistic gatekeeping but demands global participation and transparency. A Divided Industry Huang isn't alone in his optimism. Ravi Kumar, CEO of Cognizant, has also pushed back against Amodei's warnings. Kumar argues that AI will accelerate training for fresh graduates and lower the barriers to entry across industries like tech, consulting, and finance, creating an unprecedented wave of new-age professionals. You Might Also Like: Google DeepMind CEO warns of AI's true threat, and it is not your job In contrast, Amodei's vision leans heavily on caution and control. His stark job-loss prediction, delivered to Axios , painted a future of economic upheaval where legal, financial, and tech roles crumble under AI's efficiency. His solution? Stronger oversight, slower deployment, and serious regulatory teeth. Open Innovation vs. Controlled Access The debate ultimately boils down to a philosophical rift: should AI be developed by a select few behind closed doors, or advanced in the open, where the world can watch and weigh in? Huang leans firmly into the latter. 'If you want things to be done safely and responsibly, you should do it in the open,' he said, implicitly critiquing companies like Anthropic that advocate for limited access under the guise of safety. While Anthropic has yet to comment on Huang's rebuttal, the exchange has ignited a larger conversation: who gets to shape the future of AI, and how? As the race to dominate artificial intelligence intensifies, the world is watching these tech titans not just for what they build—but for how they build it, and who they believe it should serve. You Might Also Like: AI model blackmails engineer; threatens to expose his affair in attempt to avoid shutdown
