‘Computers of the future,’ Disney robots and AI factories: The key takeaways from Nvidia’s GTC 2025
Missed Nvidia’s GTC 2025? Euronews Subsequent breaks down the principle bulletins from the corporate’s annual convention.
Nvidia’s CEO and founder Jensen Huang took to the stage on the semiconductor firm’s annual software program convention on Tuesday to announce new merchandise.
Whereas giving his keynote speech, Huang additionally expanded on his ideas surrounding the way forward for synthetic intelligence (AI) which he mentioned was “at an inflexion level”.
In case you missed it, listed below are 5 key takeaways from GTC 2025 in San Jose, California.
1.‘Computer systems of the longer term’
“AI brokers will probably be in every single place,” Huang instructed the viewers at his keynote, referring to the expertise that’s designed to take autonomous actions to help people with out their enter.
“How they run, what enterprises run, and the way we run will probably be essentially completely different. And so we want a brand new line of computer systems,” he continued.
The reply to this massive computing requirement, he mentioned, is 2 new computer systems, known as DGX Spark (beforehand known as Venture Digits) and DGX Station.
DGX Spark is already obtainable and permits builders to prototype, fine-tune, and inference (the method that machines use to conclude new information) the newest era of reasoning AI fashions, equivalent to DeepSeek, Meta, Google, and others. Nvidia says that it may possibly additionally “seamlessly deploy” to information centres or the cloud.
It’s obtainable in a desktop-friendly measurement.
The a lot larger DGX Station is within the works, however Huang mentioned “that is what a PC ought to seem like and that is what computer systems will run sooner or later. And we’ve an entire lineup for enterprise now, from little, tiny ones to workstation ones”.
It resembles a tower desktop and like its smaller cousin, will enable customers to prototype fine-tune, and run AI fashions.
DGX Station is marketed towards enterprise prospects that would wish to run heavy AI workloads. It options Nvidia’s so-called “tremendous chip,” the Grace Blackwell Extremely.
2. Humanoid robots
Nvidia introduced a number of applied sciences to supercharge humanoid robotic improvement.
One features a very Star Wars-esque-style robotic that’s being developed in partnership with Disney Analysis and Google DeepMind. It’s known as Newton and is Nvidia’s physics engine, a pc software program that helps simulate robotic behaviour, to develop robots.
One of many small Disney robots made its debut on stage subsequent to Jensen. The leisure firm hopes to convey these robots to its theme parks subsequent yr.
Nvidia mentioned Newton is meant to assist robots be extra “expressive” and “learn to deal with complicated duties with higher precision”.
The corporate additionally introduced NVIDIA Isaac GR00T N1, a expertise it says is the world’s “first open, absolutely customisable basis mannequin for generalised humanoid reasoning and expertise”.
3. Information Centres and AI factories
Huang mentioned that the longer term will see a transfer from conventional information centres – buildings devoted to dealing with general-purpose computing – to AI factories, which deal with AI particularly.
The European Fee has made AI factories one among its priorities for the bloc’s AI improvement.
“AI workloads aren’t static. The following wave of AI functions will push energy, cooling, and networking calls for even additional,” Nvidia states in a weblog publish on its web site.
Huang introduced Omniverse Blueprint, which lets engineers design, take a look at, and optimise a brand new era of intelligence manufacturing information centres utilizing digital twins.
One of many makes use of of Blueprint is to make sure AI factories are prepared by predicting how modifications in AI workloads will have an effect on energy and cooling on the information centre scale as nicely.
4. Autonomous driving
Huang introduced a partnership with Basic Motors (GM), the most important US carmaker, to combine AI chips and software program into its autonomous car expertise and manufacturing.
The partnership will see Nvidia’s platforms practice GM’s AI fashions to develop its next-generation automobiles, factories, and robots.
AI is now going out “to the remainder of the world,” in robotics and self-driving vehicles, factories, and wi-fi networks,” Huang mentioned.
“One of many earliest industries AI went into was autonomous automobiles… We construct expertise that just about each single self-driving automotive firm makes use of,” he added.
5. Quantum ambitions
Huang additionally introduced Nvidia was constructing a quantum computing analysis centre in Boston.
The NVIDIA Accelerated Quantum Analysis Heart, or NVAQC, will present “cutting-edge applied sciences to advance quantum computing,” in response to the corporate.
“Quantum computing will increase AI supercomputers to sort out a few of the world’s most necessary issues, from drug discovery to supplies improvement,” Huang mentioned in his keynote.
“Working with the broader quantum analysis neighborhood to advance CUDA-quantum hybrid computing, the NVIDIA Accelerated Quantum Analysis Heart is the place breakthroughs will probably be made to create large-scale, helpful, accelerated quantum supercomputers”.
