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SANTA CLARA - Nvidia (NASDAQ:NVDA), the semiconductor giant that has seen remarkable revenue growth of 86% in the last twelve months, announced Monday the general availability of its Jetson AGX Thor developer kit and production modules, designed to power advanced robotics applications across multiple industries. According to InvestingPro analysis, Nvidia maintains its position as a prominent player in the Semiconductors & Semiconductor Equipment industry.
The new robotics computers, powered by Nvidia’s Blackwell GPU architecture, deliver up to 2,070 FP4 teraflops of AI compute within a 130-watt power envelope. According to the company, Jetson Thor provides 7.5 times more AI computing power and 3.5 times greater energy efficiency compared to its predecessor, Jetson Orin. This innovation builds on Nvidia’s strong financial foundation, with the company maintaining an impressive 70.11% gross profit margin.
Early adopters include Agility Robotics, Amazon Robotics, Boston Dynamics, Caterpillar, Figure, Hexagon, Medtronic and Meta, while companies such as 1X, John Deere, OpenAI and Physical Intelligence are evaluating the technology.
"We’ve built Jetson Thor for the millions of developers working on robotic systems that interact with and increasingly shape the physical world," said Jensen Huang, founder and CEO of Nvidia, in a press release statement.
The system features 128GB of memory and is designed to run multiple AI models simultaneously at the edge, including vision language action models and large language models. Nvidia reports that over 2 million developers are currently using its robotics software stack.
Tye Brady, chief technologist at Amazon Robotics, noted that Jetson Thor "offers the computational horsepower and energy efficiency necessary to develop and scale the next generation of AI-powered robots."
The Jetson AGX Thor developer kit is available now starting at $3,499, with production modules available through worldwide distribution partners. For investors seeking deeper insights into Nvidia’s financial health and growth potential, InvestingPro offers comprehensive analysis with over 20 additional exclusive ProTips and detailed valuation metrics in their Pro Research Report, available to subscribers.
In other recent news, Nvidia has been the focus of several analyst updates and product launches. Cantor Fitzgerald reiterated its Overweight rating on Nvidia, highlighting the continued strength in artificial intelligence infrastructure spending. The firm noted that capital expenditure forecasts for major companies like Microsoft, Meta, Google, and Amazon are expected to significantly increase in the coming years. Baird also raised its price target for Nvidia to $225 from $195, maintaining an Outperform rating due to accelerated GB200 shipments. Stifel followed suit, increasing its price target to $212 from $202, anticipating that Nvidia will exceed expectations and raise its guidance. In addition, Nvidia launched its Spectrum-XGS Ethernet technology, designed to connect dispersed data centers into unified AI computing facilities. This new technology aims to address capacity constraints by enabling data centers to function as a single system despite geographical dispersion. Meanwhile, global funds have shifted significantly toward semiconductors, with a notable $27.2 billion increase in sector holdings, reflecting a renewed interest in AI themes.
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