Nvidia reveals the high -tech “brain” for humanoid robots and autonomous cars

Could humanoid robots become much more human? Nvidia may have made this possibility a little more achieved today with a smarter robot brain that has fewer energy demands.

The latest robotics offer from the technology giant is Jetson Thor, a super computer designed for the calculation of AI in real time on humanoid robots and smart machines, Nvidia announcement In a press release on Monday.

The new module is designed to manage larger amounts of information less energy than the previous model Jeepson music. Propelled by the last Blackwell GPU, Jetson Thor has more than seven times the computing power of the AI ​​and twice the memory at more than three times the speed and the efficiency that its predecessor, says Nvidia.

All this new power is supposed to unlock up high speed sensor data and visual reasoning that can help humanoid robots to improve to see, move and make decisions independently.

“Jetson Thor resolves one of the most important challenges of robotics: allow robots to have intelligent interactions in real time with people and the physical world,” wrote society.

It is a considerable performance jump that Nvidia hopes to appeal to engineers. The company claims that the first adopters include Amazon, Meta, Caterpillar and Agility Robotics, a startup that manufactures humanoid robots available in the trade for warehouses and other manufacturing facilities. The model is envisaged for adoption by John Deere and Openai.

It is also adopted by research laboratories in Stanford, Carnegie Mellon and at the University of Zurich, to supply autonomous robots in medical research and even more, said Nvidia in a blog Monday.

The developer Kit Jetson AGX Thor, which includes the Jetson T5000 plus a reference card, an electrical supply and an active heat sink with a fan, is now on sale on the company’s website from $ 3,499.

Soon – and available now in pre -order – is Nvidia Drive Agx Thor, a developer kit using the same technology but for autonomous vehicles instead. Deliveries that should start in September, said the company.

Nvidia’s growing bet on robotics

Although AI fries are NVIDIA bread and butter, the Grand Technology Giant robotics and autonomous vehicles.

“It will be the decade of AV (autonomous vehicles), robotics, autonomous machines,” said CEO Jensen Huang CNBC In an interview in June.

Huang has developed his confidence in the quantity of the robotics industry across the annual meeting of the shareholders of the company later this month.

With AI, Nvidia expects robotics to ensure the most important growth for the company and combined, the two represent “A growth opportunity for several dollars“Huang told investors.

Earlier this year, the company has also published a family of AI models that can be used to train humanoid robots, called Cosmos.

Huang’s bet is not empty. Humanoid robots are moving forward.

Last week, China, one of the main players in the World Robotics race, hosted its very first Olympic robot games, Global humanoid robot games. At the three -day show, companies have presented robots that can run 1,500 meters in just over six seconds and acquire practical professional skills such as sorting medicine or taking food orders.

But still, technology is extremely limited and far from a generalized adoption. Even during the large window of robotics in China, many robots suffered from technical difficulties. A robot in the athletics race has even run directly and overturned A passer -by who walks off course.

Large week to come for Nvidia

Nvidia made this announcement at some time practical for the company. The technology giant publishes tax results in the second quarter on Wednesday afternoon, and the market is already buzzing.

NVIDIA dominates the AI ​​market, so that the company’s revenues always achieve enormous speculation, but this week’s importance is stimulated by volatile policy changes and questions concerning the economic value of large -scale AI adoption.

The company was on a Political roller coaster roller in his efforts to sell AI chips in China In the middle of the climbing of the trade war between Beijing and Washington. China is a major market for NVIDIA, and uncertainty is to maintain business investors on the verge of their seats.

Also keeping investors occupied is a new new MIT researchers’ AI report. The report revealed that despite daring bets on AI in the business world, less than one in 10 AI pilot program has resulted in real income gains.

Nvidia just struck 4 dollars Market value last month, becoming the first public company to achieve the feat. Now, the issues are raised because it is the technology giant to prove that its evaluation is not only built on IA’s media threshing.