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Nvidia strikes humanoid robot partnerships with European chipmakers
AMSTERDAM, March 16 (Reuters) - European chipmakers Infineon (IFXGn.DE), opens new tab, NXP (NXPI.O), opens new tab and STMicroelectronics (STMPA.PA), opens new tab on Monday all announced partnerships with Nvidia to sell hardware for humanoid robots, as they vie for business in a potentially lucrative market. U.S. chipmaker Nvidia (NVDA.O), opens new tab coordinated the announcements on the eve of its annual GPU Technology Conference in California where its efforts to become the "brain", or central computing platform for robots with its Jetson Thor processors, are likely to be one focus. The role for Europe's industrial chipmakers is to provide other parts of the body, including electronics needed to make them work safely and reliably, sensors, motion control, power management, and high-speed internal communications. OVERLAP WITH TECH HARDWARE USED IN CARS The chipmakers are all major suppliers of tech hardware used in cars, which analysts say has significant overlap with humanoid and other advanced robots. George Chowdhury, an analyst at ABI Research, said it was natural for the Europeans to seek partnerships with Nvidia, estimating that Nvidia's platform is used in more than 80% of humanoid robots. Chowdhury said higher-end humanoids can cost around $200,000, while lower-cost models can be priced at roughly a tenth of that. TrendForce estimates more than 50,000 humanoid robots will be sold this year for the first time. A spokesperson for Infineon said the company anticipates a market of about $500 in parts per robot. Its pitch on Monday centred on the use of "digital twins" that allow developers to test and fine-tune robot performance in the design phase. None of the announcements gave any financial details. STMicroelectronics' statement focused on sensors, helping robot developers connect cameras and motion sensors to Nvidia-based systems. NXP emphasised fast, reliable communications inside the robot, helping different parts of the machine to send data quickly to the central processor so movement and sensing remain coordinated. Gowri Chindalore, head of AI at NXP's edge computing arm, gave the example of processing part of the information derived from voice commands instantly and then directing "further communication to the brain in a very fast loop". Reporting by Toby Sterling; editing by Barbara Lewis Our Standards: The Thomson Reuters Trust Principles., opens new tab
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Nvidia, Infineon Expand Collaboration on Physical AI, Humanoid Robots
Infineon Technologies said it expanded its collaboration with Nvidia with a focus on physical artificial intelligence and humanoid robots. The German chip maker said late Monday that it aims to combine its technologies with Nvidia's AI, robotics and simulation platforms in order to help design and deploy humanoid robots. Infineon will also join Nvidia's AI systems inspection lab to examine the design of robust hardware and software safety foundations, it said. The two companies are looking to help developers validate designs faster, move humanoids from lab pilots into real-world operations, and scale from prototype to fleet deployment in industrial environments, the chip maker said. The news builds on the collaboration announced in August last year.
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Nvidia has announced partnerships with European chipmakers Infineon, NXP, and STMicroelectronics to develop hardware for humanoid robots. The coordinated announcements came ahead of Nvidia's GPU Technology Conference, where the company aims to establish its Jetson Thor processors as the central computing platform for robotics. With over 50,000 humanoid robots expected to sell this year, the partnerships position these companies to capture a market estimated at $500 in parts per robot.
Nvidia coordinated announcements with three major European chipmakers—Infineon, NXP, and STMicroelectronics—on the eve of its annual GPU Technology Conference in California, signaling an aggressive push into the humanoid robots market
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. The partnerships aim to establish Nvidia's Jetson Thor processors as the central computing platform, or "brain," for robots while European chipmakers provide critical components including sensors, motion control, power management, and high-speed internal communications1
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Source: Reuters
The collaboration leverages existing expertise from the automotive sector, where all three European chipmakers serve as major suppliers. George Chowdhury, an analyst at ABI Research, noted that Nvidia's platform is used in more than 80% of humanoid robots, making these chipmaker partnerships strategically vital
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. Infineon anticipates a market of approximately $500 in parts per robot, with higher-end humanoids costing around $200,000 and lower-cost models priced at roughly $20,0001
. TrendForce estimates more than 50,000 humanoid robots will be sold this year for the first time, representing a significant commercial milestone for the industry1
.Each European chipmaker brings distinct capabilities to supplying hardware for humanoid robots. Infineon's approach centers on "digital twins" that allow developers to test and fine-tune robot performance during the design phase, and the company will join Nvidia's AI systems inspection lab to examine hardware and software safety foundations
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. STMicroelectronics focuses on sensors, helping developers connect cameras and motion sensors to Nvidia-based systems1
. NXP emphasizes fast, reliable communications inside robots through edge computing solutions. Gowri Chindalore, head of AI at NXP's edge computing arm, explained that the technology processes information from voice commands instantly before directing "further communication to the brain in a very fast loop"1
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The expanded collaboration with Infineon, building on an initial partnership announced in August last year, aims to combine technologies with Nvidia's AI, robotics, and simulation platforms to accelerate the design and deployment of humanoid robots
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. The companies seek to help developers validate designs faster, move humanoids from lab pilots into real-world industrial operations, and scale from prototype to fleet deployment in industrial environments2
. None of the announcements disclosed financial details, but the timing suggests Nvidia is positioning itself to dominate the robotics infrastructure market as physical artificial intelligence applications expand beyond experimental phases into commercial production.Summarized by
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