Nvidia’s Future Vision: ‘AI Factories’ With Millions of Agents and Robots Working With Humans
The post Nvidia’s Future Vision: ‘AI Factories’ With Millions of Agents and Robots Working With Humans appeared on BitcoinEthereumNews.com.
In brief Nvidia has positioned itself as an AI infrastructure company, with CEO Jensen Huang declaring that data centers are now “AI factories” producing valuable tokens. NVLink Fusion delivers up to 1.8 TB/s per GPU—14x faster than PCIe Gen5—enabling integration of non-Nvidia chips with Nvidia’s GPUs. Jensen Huang believes in the future, the jobs gap will be filled by AI agents and humanoid robots instead of human beings. At Computex 2025 in Taipei this week, Nvidia CEO Jensen Huang presented a more aggressive vision of his company’s future, emphasizing artificial intelligence’s need for dedicated infrastructure—and Nvidia’s commitment to give the world what it needs. “AI is now infrastructure, and this infrastructure—just like the internet, just like electricity—needs factories,” Huang told the audience. “You apply energy in, and it produces something incredibly valuable: tokens.” The company introduced the idea of these data centers as new “AI factories,” reimagining their purpose as facilities specifically optimized for artificial intelligence workloads. As a first step toward significant expansion, Nvidia announced NVLink Fusion, opening its “interconnect” technology to other manufacturers. This system enables customers to integrate processors from other companies alongside Nvidia’s GPUs. “A tectonic shift is underway: for the first time in decades, data centers must be fundamentally rearchitected—AI is being fused into every computing platform,” Huang said in an official press release. “NVLink Fusion opens Nvidia’s AI platform and rich ecosystem for partners to build specialized AI infrastructures.” This development is particularly significant as it provides developers with more hardware choices, even from third-party providers, for training their models. Companies can now build semi-custom AI systems tailored to specific workloads, optimizing for cost, performance, or specific architectural advantages. Partners including MediaTek, Marvell, Alchip Technologies, Astera Labs, Synopsys, and Cadence are among the first to adopt this technology. Another important development, announced separately…
Filed under: News - @ May 21, 2025 11:25 am