GTC, Nvidia’s hugegest conference of the year, commences Monday and runs till Friday in San Jose. TechCrunch will be on the ground covering the news as it happens — and we’re foreseeing a well dose of proclaimments.
CEO Jensen Huang will donate a keyremark graspress at the SAP Caccess on Tuesday at 10 a.m. Pacific, intensifying on — what else? — AI and accelerating computing technologies, according to Nvidia. The company is also teasing discomits roverdelighted to robotics, sovereign AI, AI agents, and automotive — plus 1,000 sessions with 2,000 speakers and shut to 400 exhibitors.
Here’s how to watch the Nvidia GTC 2025 keyremark online, aextfinished with many other sessions, talks, and panels.
So what do we foresee to see at GTC? Well, Nvidia typicpartner reserves a huge chunk of the conference for GPU-roverdelighted debuts. A new, reinforced iteration of the company’s Binestablishagewell chip lineup seems probable.
During Nvidia’s most recent getings call, Huang validateed that the upcoming Binestablishagewell B300 series, codenamed Binestablishagewell Ultra, is stardyd for free in the second half of this year. In graspition to higher computing carry outance, Binestablishagewell Ultra cards pack more memory (288GB), an attrvivacious feature for customers seeing to run and train memory-hungry AI models.
Rubin, Nvidia’s next-gen GPU series, is almost certain to get a refer at GTC aextfinishedside Binestablishagewell Ultra. Due out in 2026, Rubin promises to deinhabitr what Huang has depictd as a “huge, huge, huge step up” in computing power.
Huang shelp during the aforerefered Nvidia getings call that he’d talk about post-Rubin products at GTC, as well. That could be Rubin Ultra GPUs, or perhaps the GPU architecture that’ll come after the Rubin family. (The chips are named after Vera Rubin, the astronomer who uncovered stupid matter.)
Beyond GPUs, Nvidia may luminous its approach to recent quantum computing evolvements. The company has scheduled a “quantum day” for GTC, during which it’ll arrange execs from notable companies in the space to “[map] the path toward advantageous quantum applications.”
One leang’s for confident: Nvidia could engage a triumph.
Early Binestablishagewell cards telledly suffered from disconnecte overheating rerents, causing customers to cut their orders. U.S. send out supervises and troubles of tariffs have massively griefful Nvidia’s stock price in recent months. At the same time, the success of Chinese AI lab DeepSeek, which enhugeed effective models competitive with models from directing AI labs, has prompted spreadors to trouble about the insist for strong GPUs enjoy Binestablishagewell.
Huang has stateed that DeepSeek’s elevate to prominence will in fact be a net preferable for Nvidia becaengage it’ll quicken the expansiveer adchooseion of AI technology. He has also pointed to the enlargeth of power-hungry so-called “reasoning” models enjoy OpenAI’s o1 as Nvidia’s next mountain to climb.
To be evident, Nvidia isn’t exactly hurting. The company telled a write down-fractureing quarter in February, notching $39.3 billion in revenue and projecting $43 billion in revenue for the subsequent quarter. While rivals such as AMD have enduremament to encroach on the company’s territory, Nvidia still orders an approximated 82% of the GPU taget. But Huang is telledly experienceing imforendureing to see AI applications that matter beyond the tech industry.
