Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
NVIDIA Unveils Jetson Orin Nano 2, Transforming Entry-Level Edge AI Solutions
NVIDIA has launched the Jetson Orin Nano™ 2, a new robotic computer aimed at redefining entry-level edge AI, making cutting-edge generative AI performance accessible to millions of developers. As AI models become smaller and more efficient, edge devices are evolving into autonomous systems capable of understanding context, parsing language and images, and responding in real-time. This development is significant as it enables developers to apply advanced AI capabilities to robotics, delivery drones, and visual AI systems. NVIDIA's Vice President of Robotics and Edge AI, Deepu Talla, emphasized that the accuracy of mid-sized cutting-edge models has reached levels previously seen only in larger models, making real-time intelligence on edge devices feasible. The Jetson Orin Nano 2 offers the necessary performance and energy efficiency for real-time inference at the edge. Looking ahead, companies like Cognex, Doosan Bobcat, and Matic are already exploring the potential of the Jetson Orin Nano 2. With 78 TOPS of AI computing power and improved performance metrics, the device is set to enhance applications in home robotics, visual AI systems, and drone delivery. No further timeline was disclosed at the time of publication.
Edge AI Robotics AI Performance Drone Technology
NVIDIA Launches Jetson Orin Nano 2, Enhancing Edge AI for Robotics with Improved Performance
NVIDIA Corp has unveiled the Jetson Orin Nano 2, an entry-level computer designed for edge AI applications. This new system offers doubled inference performance compared to its predecessor while consuming 40% less power in 15-watt mode. With 78 trillion operations per second of AI compute and 8GB of memory, it is tailored for real-time reasoning in smart drones, robots, and vision AI systems. The introduction of the Jetson Orin Nano 2 is significant as it allows developers to leverage advanced AI models that were previously limited to larger systems. According to Deepu Talla, NVIDIA's vice president of robotics and edge AI, the new model brings frontier-level accuracy to entry-level products, enhancing the capabilities of physical AI applications. This development is expected to accelerate the integration of AI into various autonomous devices. Looking ahead, NVIDIA's Jetson Orin Nano 2 is positioned as a key component in the company's comprehensive robotics strategy, which includes simulation and training solutions. The existing software stack is compatible with the new model, enabling developers to utilize large language models and vision language models optimized for edge inference. No further timeline was disclosed at the time of publication.
Artificial Intelligence Artificial Intelligence / Cognition Development Tools / SDKs / Libraries Microprocessors / SoC Microprocessors / SoCs News
Aetina Enhances Edge AI with Support for NVIDIA Jetson Orin Nano 2 Platform
Aetina Corporation has announced its support for the NVIDIA Jetson Orin Nano 2, enhancing its edge AI capabilities. This new platform allows for higher-performance generative AI and multimodal inference, which are crucial for compact Physical AI systems. The introduction of the Jetson Orin Nano 2 marks a significant advancement in entry-level edge AI robotics computers. It enables developers to create sophisticated applications such as delivery and inspection drones, robots, and vision AI systems that can perceive their environment and respond in real time. Looking ahead, the integration of the Jetson Orin Nano 2 into Aetina's offerings is expected to drive innovation in the edge AI sector. No further timeline was disclosed at the time of publication.
NVIDIA Unveils Jetson Orin Nano 2 Robotics Computer for Entry-Level Edge AI
NVIDIA has introduced the Jetson Orin Nano™ 2, a robotics computer designed to enhance entry-level edge AI capabilities. This new device offers frontier-class generative AI performance, enabling developers to create autonomous systems that can understand context and act in real time. With its compact and energy-efficient design, the Jetson Orin Nano 2 is poised to revolutionize robotics applications across various sectors. The significance of the Jetson Orin Nano 2 lies in its impressive specifications, including 78 trillion operations per second of AI compute and 8GB of memory. It delivers double the inference performance of its predecessor while consuming 40% less power. This advancement allows developers to implement real-time reasoning in edge devices, making it a crucial tool for industries utilizing robotics, drones, and vision AI systems. Looking ahead, NVIDIA's Jetson Orin Nano 2 is expected to be adopted by numerous developers and companies, including Cognex, Doosan Bobcat, and Matic. These partnerships will facilitate the development of innovative edge AI applications, such as home robots and delivery drones, enhancing their performance and efficiency. No further timeline was disclosed at the time of publication.
AMD Establishes Comprehensive AI Solutions for Robotics to Compete with NVIDIA Jetson
AMD has laid a solid foundation for robotics, introducing a complete ecosystem from silicon to systems. At the Advancing AI 2026 conference in late July, AMD showcased 'Physical AI,' highlighting embedded products like the Ryzen AI Embedded X100, Kria AI SOM, and the Kria robotics development platform. This initiative marks AMD's first comprehensive approach to robotics, integrating chips, modules, development platforms, software, and an ecosystem. The X100 series, featuring the Strix Halo chip, is designed for industrial applications with enhanced temperature resilience and low latency firmware, making it suitable for demanding robotics tasks. AMD's strategy includes a ten-year lifecycle commitment for the X100, ensuring stable supply for industrial clients. The Kria AI SOM module represents a significant leap to high-performance x86 processors, aiming to rival NVIDIA Jetson products. The Kria AI Robotics platform further enhances this offering, providing developers with a ready-to-use solution, while AMD maintains control over design and standards through certified partners.
Robotics AI Solutions Embedded Systems High-Performance Computing
NVIDIA Introduces Jetson Thor: Memory Bandwidth Crucial for Robotic Intelligence
NVIDIA has launched the Jetson Thor product line, emphasizing that memory bandwidth is essential for robotic intelligence rather than just processing power. On July 16, NVIDIA announced two mid-range products, the T3000 and T2000, set to release in Q1 2027. Despite the T3000 having only 72% of the GPU power of the T5000, its memory bandwidth remains intact, allowing it to perform close to the T5000 in multimodal tasks. This focus on memory bandwidth is vital as robots require efficient data transfer for inference tasks. The ability to handle visual, language, tactile, and motion data relies on timely data delivery to processing units. NVIDIA's strategy involves reducing memory capacity while maintaining bandwidth to optimize performance for complex applications, addressing the growing size of model weights and context. Additionally, NVIDIA has reduced power consumption significantly, with the T3000 operating at approximately 65 watts, half that of the T5000, making it suitable for lightweight autonomous devices. The introduction of affordable entry-level boards and memory-optimized AI skills aims to make advanced robotic intelligence more accessible, addressing the challenges posed by rising memory prices in the AI landscape.
Robotics AI Memory Optimization Computational Efficiency
NVIDIA Jetson Platform Empowers Developers with Compact AI Solutions for Robotics
Sarah Guo, founder of Conviction, recently showcased the NVIDIA Jetson platform, emphasizing its blend of power and portability for edge AI and robotics. The platform, compact enough to fit in a handbag, enables developers to tackle complex problems across various industries, from classrooms to labs. The NVIDIA Jetson modules and developer kits, including the Jetson Orin Nano Super, Jetson AGX Orin, and Jetson AGX Thor, provide the necessary tools for students, professors, and researchers to innovate in intelligent robotics. With 67 trillion operations per second, the Jetson Orin Nano Super offers a practical entry point for first-time builders to explore AI and computer vision. As Guo highlighted, the Jetson platform supports real-world AI applications without needing cloud connectivity, making it ideal for autonomous systems. Developers can look forward to a series of examples demonstrating the capabilities of Jetson Orin Nano Super, showcasing its potential to inspire the next generation of robotics projects.
Aetina Expands Nvidia Jetson Support with T3000 and T2000 AI Modules
Aetina, a specialist in edge AI computing, is set to enhance its offerings by adding support for the newly unveiled Nvidia Jetson T3000 and T2000 modules. These modules are designed for robotics and industrial edge AI applications, and Aetina plans to integrate them into its DeviceEdge AIE-KT and AIE-PT systems, providing scalable and efficient AI computing solutions. This expansion is significant as it allows Aetina to leverage Nvidia's advanced AI capabilities, including the ability to run generative AI models with low latency, which is crucial for applications like humanoid robots. The Nvidia Jetson T3000 module boasts up to 865 FP4 TFLOPS, while the T2000 offers up to 400 FP4 TFLOPS, catering to a range of robotics applications from visual AI agents to autonomous mobile robots. Looking ahead, Aetina is among the first partners to support these new modules, with Nvidia expecting them to be available in the first quarter of 2027. The company plans to provide further details on system specifications and developer support as the launch date approaches, making it a key player in the evolving landscape of AI-driven robotics solutions.
Computing Industry Aetina automation Autonomous robots DeviceEdge AIE-KT
NVIDIA Launches Jetson Thor Modules to Enhance Robotics and Edge AI Applications
NVIDIA has unveiled the T3000 and T2000 modules based on the Thor architecture, designed to meet the growing demand for compact AI supercomputers in robotics and edge AI. These modules enable mass-market deployment of advanced humanoid and robotic systems, with notable adoption from leading companies such as Amazon Robotics and Boston Dynamics. The introduction of the Jetson T3000 and T2000 modules is significant as they provide high-performance AI compute capabilities in a smaller form factor, achieving up to 865 FP4 teraflops for the T3000. This advancement allows developers to optimize their systems while reducing costs, particularly in light of rising memory prices. The T2000 serves as an entry point for a wider range of edge AI applications, further expanding NVIDIA's scalable edge AI platform. Looking ahead, the new Jetson modules are expected to facilitate faster deployment and lower system costs across various industries. Companies like UBTech and Agile Robots have already reported substantial memory savings, indicating a trend towards more efficient development processes in robotics. No further timeline was disclosed at the time of publication.
Firefly Aerospace Operates NVIDIA Jetson in Lunar Orbit for the First Time
Palantir Technologies has unveiled a new intelligent engine designed to enhance secure artificial intelligence capabilities for U.S. government agencies. This announcement was made today, highlighting the significance of open-source innovation in the American AI landscape. The new engine leverages NVIDIA's Nemotron open models, aiming to meet the specific needs of federal entities. By integrating these advanced technologies, Palantir seeks to bolster the security and effectiveness of AI applications within closed environments, ensuring that sensitive data remains protected while still benefiting from the flexibility and adaptability of open-source frameworks. This initiative underscores Palantir's commitment to providing robust AI solutions tailored for government use, addressing the growing demand for secure and efficient technological tools in public service.
NVIDIA Jetson Brings Agentic AI to the Physical World
At COMPUTEX on Tuesday, NVIDIA unveiled its latest advancements in artificial intelligence with the announcement of NVIDIA JetPack 7.2 and the introduction of NVIDIA NemoClaw support for the Jetson platform. This new version of JetPack enhances agentic AI capabilities, integrates Yocto project support, and includes NVIDIA CUDA 13 specifically for the NVIDIA Jetson Orin. These developments aim to empower developers and researchers by providing robust tools for creating intelligent applications that can operate in real-world environments. The launch reflects NVIDIA's commitment to advancing AI technology and its applications across various industries, showcasing the company's ongoing innovation in the field.
As Open Models Spark AI Boom, NVIDIA Jetson Brings It to Life at the Edge
Caterpillar has introduced the Cat 306 CR mini-excavator, a compact machine weighing just under eight tons, designed for tight job sites such as utility trenches near foundations and basement digs in densely populated areas. This innovative excavator can easily fit inside a standard shipping container, making it a practical choice for contractors facing space constraints. The launch of the Cat 306 CR aims to provide a versatile solution for construction professionals who require efficient equipment to navigate challenging environments. With its compact size and powerful capabilities, the mini-excavator is expected to enhance productivity on various projects, allowing for greater maneuverability in restricted spaces.
Comprehensive Performance Upgrade: AGIBOT G2 will Fully Integrate NVIDIA Jetson Thor
AGIBOT has unveiled its next-generation robot, the AGIBOT G2, which will feature NVIDIA's Jetson Thor as its core domain controller. This integration represents a significant leap in robotic performance, boasting a 7.5 times increase in AI computing power along with improved real-time processing and task generalization capabilities. The upgrade is designed to position the AGIBOT G2 as a standard in embodied intelligence, responding to the rising demand for intelligent robots across various sectors, including industrial automation and smart logistics.
Robotics Artificial Intelligence Technology Automation Embedded SystemsRobotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
Join the RobotToday community on LinkedIn
Daily robotics news, in-depth analysis, conference highlights, and discussions with professionals worldwide.
