Nvidia CEO Jensen Huang recently appeared on the popular Lex Fridman Podcast for a deep, over two-hour discussion covering AI scaling laws, compute and power bottlenecks,...
Nvidia CEO Jensen Huang said on the Lex Fridman Podcast that computing is undergoing a structural shift — from a "storage system," where data is pre-defined and retrieved, to...
US President Donald Trump has appointed an initial group of technology and business leaders to the President's Council of Advisors on Science and Technology (PCAST), a body tasked...
During the 2026 World Economic Forum (WEF), Nvidia CEO Jensen Huang made an impassioned case for digital sovereignty. "Build your own AI, take advantage of your fundamental natural...
Over the past three years, Nvidia founder and CEO Jensen Huang has returned to the same two-axis chart at each annual GTC conference — but the story that chart tells has shifted...
Nvidia CEO Jensen Huang highlighted at GTC 2026 that AI has shifted from early model training to an era defined by inference and agent computing. To meet growing inference demands,...
At the Nvidia GTC 2026 conference, CEO Jensen Huang emphasized that power delivery and liquid cooling will become core elements requiring co-design. He said that future AI racks and...
Since the start of 2026, Jensen Huang has twice drawn a striking parallel: likening a potential deal involving Groq to Nvidia's 2020 acquisition of Mellanox Technologies. He first...
Nvidia's GTC 2026 is well underway, with the event reaching a record scale as among the major annual events in the AI landscape. Despite a packed schedule, CEO Jensen Huang attended...
The 2026 Nvidia GTC keynote signaled a clear industry shift toward inference. CEO Jensen Huang declared that "training is just the beginning — inference is the core battleground...
At GTC 2026, Nvidia CEO Jensen Huang delivered a blunt message to an industry fixated on raw compute: the next bottleneck in AI is not the chip — it is everything around it....
Jensen Huang's "five-layer cake" model for AI is a tidy recipe: energy, chips, infrastructure, models, applications — stacked in order. Applied to China, the cake looks polished...
On March 11 (US time), Nvidia announced a US$26 billion five-year investment in open-source large language models and introduced Nemotron 3 Super, its most powerful hybrid mixture-of-experts...
