Nvidia stormed San Jose this year, with a record of 25,000 participants who flock to the San Jose Convention Center and surrounding the buildings in the city center. Many workshops, conferences and panels were so excited that people had to rely against the walls or sit on the floor – and suffer from the anger of the organizers shouting orders to align them properly.
Nvidia is currently at the top of the AI world, with Record financialHeaven’s margins, and no serious competitor. But the coming months also present an unprecedented risk for the company because it faces the American prices, In depthAnd the changing priorities of the best AI customers.
HAS GTC 2025The CEO of Nvidia, Jensen Huang, tried to project confidence, reveal Powerful new chips,, “Supercalculators” personal, “ And, of course, Really cute robots. It was an exhaustive sale argument – one of the investors in shock from Nvidia bite stock.
“The more you buy, the more you save,” said Huang at some point in a speech on Tuesday. “It’s even better than that. Now, the more you buy, the more you do it. ”
Inferences boom
More than anything, NVIDIA, of this year’s GTC, sought to provide participants – and the rest of the world looking – that demand for his tokens will not slow down anytime.
During his speech, Huang said almost the “whole world was wrong” on The scale of traditional AI falls from vogue. Chinese Ai Lab Deepseek, which earlier this year published a very effective “reasoning” model called R1aroused fears among investors that Nvidia monster tokens can no longer be necessary for the training of competitive AI.
But Huang has repeatedly insisted on the fact that the reasoning models swallowed to be able to stimulate more demand for the company’s chips, no less. This is why in GTC, Huang showed The next line of GPU Vera Rubin of Nvidia, saying that they will make an inference (that is to say AI models) at around double the best rate of the current NVIDIA blackwell chip.
The threat to NVIDIA’s activities, Huang, spent less time attacking was parasites such as deceptions, groq and other low -cost equipment and cloud suppliers. Almost every hyperscaler develops a personalized chip for inference, if not training, too. AWS A Graviton and Inferentia (What would be aggressively), Google has tpus, and Microsoft has Cobalt 100.
Along the same vein, technology giants are currently extremely dependent on Nvidia fleas, including Openai and Meta, seek to reduce these links via internal material efforts. If they – and the other aforementioned rivals – succeed, it will almost certainly weaken Nvidia’s workforce on the AI fleas market.
Maybe that’s why The course of Nvidia’s action plunged About 4% depending on the opening of Huang. Investors may have kept the hope of “one last thing”-or perhaps an accelerated launch window. In the end, they are not obtained neither.
Pricing
NVIDIA also sought to lie down prices at the GTC 2025.
The United States has not imposed any price on Taiwan (where Nvidia obtains most of its tokens), and Huang claimed The prices would not do short -term “significant damage”. He ceased to promise that Nvidia would however be protected from long -term economic impacts – regardless of the form they finally take.
Nvidia clearly received the “America First” message from the Trump administration, with Huang Promising in GTC To spend hundreds of billions of dollars for manufacturing in the United States, while it would help the company diversify its supply chains, it is also a massive cost for Nvidia, whose evaluation of several dollars of several dollars depends on healthy beneficiary margins.
New business
While trying to sow and develop companies other than its range of basic chips, NVIDIA de GTC has drawn attention to its new investments in Quantum, an industry that the company has historically neglected. During the first quantum day of the GTC, Huang apologized At the CEOs of large quantum companies for provoking a minor stock market crash in January 2025 after suggesting that technology would not be very useful for the next 15 to 30 years.
Tuesday, nvidia announcement That he would open a new center in Boston, NVAQC, to advance quantum IT in collaboration with the “main” hardware and software markers. The center will of course be equipped with NVIDIA chips, which, according to the company, will allow researchers to simulate the quantum systems and the models necessary for quantum error correction.
In the more immediate future, Nvidia sees what it is Call “Personal Superordinators of AI” As a new potential income manufacturer.
In GTC, the company spear DGX Spark (previously called Project figures) and the DGX station, which are both designed to allow users to prototyper, refine and run AI models in a range of sizes at the edge. Neither is exactly cheap – they sell thousands of dollars – but Huang has boldly proclaimed that they represent the future of the personal PC.
“This is the AI age computer,” said Huang during his speech. “This is what computers should look like, and this is what computers will perform in the future.”
We will soon see if customers agree.
