Nvidia (NVDA) shares climbed 1.88% to $212.40 after the company introduced Jetson Orin Nano 2, its newest robotics computer for edge computing. The stock recovered from an earlier pullback after briefly trading above $214 during the session, and Nvidia positioned the new system as a stronger entry-level platform for robotics and edge applications.

Expanded Edge Computing Power

Nvidia designed Jetson Orin Nano 2 for developers building robots, drones, vision systems, and other autonomous machines. Edge computing keeps computation on or near the devices themselves rather than in remote data centers, shortening response times for machines that must react to their surroundings in real time. The platform packs stronger computing performance into a compact, power-efficient design for edge applications, allowing developers to process language, images, and environmental data directly on connected devices.

The system delivers 78 trillion operations per second (TOPS) and includes 8GB of memory paired with an eight-core Arm processor. According to Nvidia, the platform provides twice the inference performance of the previous Jetson Orin Nano Super, with higher memory bandwidth and improved Tensor Cores supporting the gain without changing the compact hardware format. Delivering more performance in the same form factor addresses a core constraint of robotics design, where onboard computers must share tight space, weight, and power budgets with motors, sensors, and batteries.

Jetson Orin Nano 2 also improves energy efficiency for systems operating under strict power limits. The computer uses 40% less power while matching its predecessor's performance in 15-watt operating mode, allowing Nvidia to target smaller robots and drones that require stronger computing without a significant increase in energy use.

Robotics Companies Begin Adopting the Platform

Several technology companies have started adopting or evaluating Jetson Orin Nano 2 for commercial edge computing applications. Cognex, a machine-vision specialist, and Doosan Bobcat, a construction equipment maker, are among the companies exploring the new hardware alongside home-robotics company Matic and drone-delivery operator Wing, with projects spanning industrial systems, household robotics, drone delivery, and advanced machine vision.

Matic plans to use the platform to improve its home cleaning robots with stronger real-time processing capabilities. The company wants its robots to handle mapping, gesture detection, navigation, and conversational functions more efficiently, while local processing can help the machines understand changing home environments without relying heavily on remote computing infrastructure.

Wing, an Alphabet subsidiary, plans to evaluate the new system for its delivery drones and autonomous operations. The company already uses Jetson Orin Nano Super and Nvidia software across its drone fleet, and Jetson Orin Nano 2 could support faster perception and reasoning while reducing power requirements during delivery operations.

A Growing Robotics Developer Ecosystem

Nvidia has built a large robotics ecosystem around Jetson hardware and its supporting software tools, with more than three million developers currently using the company's robotics technology for physical computing applications. The latest platform gives this community another lower-cost option for developing smaller autonomous systems. Nvidia frames this market as "physical AI" — machines that use AI to sense and act in the physical world — and has promoted it as a significant growth area beyond the data-center GPUs that generate the bulk of the company's revenue. Other chipmakers, including Qualcomm and AMD, also target edge AI and robotics designs, which makes the breadth of Nvidia's developer base and partner support a key part of its competitive position.

Jetson Orin Nano 2 supports large language and vision models designed for memory-efficient processing at the edge. Developers can use Nvidia's software stack alongside models such as Cosmos, Nemotron, Gemma 4, and Qwen 3, allowing machines to process advanced models locally while reducing dependence on cloud infrastructure.

Hardware partners are also developing carrier boards, software, systems, and reference designs around the new platform. Companies supporting the launch include AAEON, ADLINK, Advantech, Aetina, Aptiv, Connect Tech, and Seeed Studio. Nvidia continues to expand beyond data centers as robotics becomes another important market for its computing technology. How quickly early adopters such as Wing and Matic move from evaluation to commercial deployment, and how broadly partners translate the reference designs into shipping products, will indicate the platform's real-world uptake in the months ahead.