Nvidia is focusing on robots amid tougher AI chip competition

Given the increasing competition in the AI ​​chip space Nvidia is reportedly turning to robotics.

The $3.3 trillion company whose technology fueled the rise of artificial intelligence (AI) is set to launch its next venture version of Compact computer for humanoid robots – called Jetson Thor – in the first half of next year, according to the Financial Times (FT) reported Sunday (December 29).

According to the report, Nvidia is fighting to become the leading platform in the supposedly upcoming robotics Boom.

“The ChatGPT moment for physical AI and robotics is upon us” Deepu TallaNvidia’s vice president of robotics told the FT, adding that he believes the market is at a “tipping point.”

The FT report noted that these efforts come from Nvidia expected more competition for its chips from competitors like AMDas well as Cloud computing titans like Google and Amazon. Now the company is investing in the area of ​​“physical AI” to help The New robotics companies are growing.

For example, it joined Microsoft And OpenAI in a funding round in February that valued a humanoid robotics company Figure AI at $2.6 billion.

While Nvidia doesn’t release figures on sales of its robotics products, the FT report says this part of its business accounts for a smaller portion of its revenue. Data center revenue, for example, accounted for about 88% of Nvidia’s $35.1 billion in revenue reported in the third quarter.

In other robotics/AI news, PYMNTS wrote recently about research at MIT that has developed an AI system that could make this possible Warehouse robots Skillfully handle oddly shaped packages and navigate crowded spaces without putting human workers in danger.

This is a breakthrough at a time when retailers and logistics companies are facing increasing pressure to automate E-commerce Demand.

Although robots excel at repetitive tasks like moving pallets, MIT’s PRoC3S technology could finally solve the long-standing challenge of robots safely performing more complex warehouse tasks that typically require human dexterity and spatial reasoning.

“Theoretically, PRoC3S could reduce a robot’s error rate by comparing its initial LLM-based assumptions with more specific and accurate insights about the warehouse environment.” Erik NievesCEO and co-founder of Plus One Roboticssaid PYMNTS.

“Think of it this way: a warehouse robot, working solely with LLM guidance, has been described how to complete a task. The PRoC3S concept goes one step further by placing a digital robot in a simulated environment of this task. It is essentially the difference between classroom teaching and a Really Good excursion.”

As PYMNTS has reported, it’s robotics and AI technologies transform traditional distribution centers over specialized autonomous vehicles equipped with robotic arms The can handle complex tasks such as connecting brake lines and positioning trailers together with human workers.