ForeCR Announces Support for New NVIDIA Jetson Orin Nano 2 Robotics Computer: Redefining Entry-Level Edge AI Performance

Updated on: August 25, 2026

FORECR Announces Support for New NVIDIA Jetson Orin Nano 2 Robotics Computer: Redefining Entry-Level Edge AI Performance

A new level of generative AI performance is coming to compact edge systems.

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Forecr today announced support for NVIDIA Jetson Orin Nano 2, the newest addition to the NVIDIA Jetson platform, designed to redefine what developers and organizations can achieve with entry-level edge AI.

Delivering 78 TOPS of AI performance, 8GB of memory, an 8-core Arm CPU, improved Tensor Cores, and higher memory bandwidth, NVIDIA Jetson Orin Nano 2 brings a significant performance increase to the compact Jetson form factor. Most importantly, the new platform delivers 2X the inference performance of NVIDIA Jetson Orin Nano Super while maintaining the same compact form factor and a 40W power envelope.

For developers building the next generation of autonomous machines, intelligent vision systems, robots, and delivery and inspection drones, this represents an important step forward: more AI performance at the edge without moving to a significantly larger computing platform.

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2X Higher Inference Performance

One of the most significant improvements introduced with NVIDIA Jetson Orin Nano 2 is its inference performance.

With improved Tensor Cores and increased memory bandwidth, Jetson Orin Nano 2 delivers twice the inference performance of Jetson Orin Nano Super. And it achieves this within the same compact form factor and 40W power envelope. This combination of performance and size is particularly important for edge AI applications where space, power consumption, thermal design, and compute capability must all be carefully balanced.

The result is a platform capable of supporting more sophisticated AI models and processing pipelines while remaining suitable for integration into compact intelligent systems.

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Greater AI Performance per Watt

Performance alone is only part of the equation for edge computing.

Power efficiency becomes particularly important when AI systems are deployed in robots, delivery and inspection drones, mobile platforms, remote installations, and other environments where energy availability may be limited.

NVIDIA Jetson Orin Nano 2 delivers 40% lower power consumption at equivalent performance of its predecessor, providing developers with greater flexibility when balancing compute requirements against system power budgets. This improvement can be especially valuable for autonomous and battery-powered applications, where every watt can influence operating time, thermal management, and overall system design.

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Built for the Next Generation of Edge AI Applications

The combination of 78 TOPS, 8GB memory, an 8-core Arm CPU, improved Tensor Cores, and higher memory bandwidth opens the door to a broad range of intelligent edge applications.

•Smart Robotics

Modern robots increasingly need to understand and interact with dynamic environments in real time.

Higher edge AI performance can enable robots to combine perception, localization, navigation, object recognition, and intelligent decision-making while processing data directly onboard.

NVIDIA Jetson Orin Nano 2 provides a compact computing foundation for developing increasingly capable autonomous robotic systems.

•Delivery and Inspection Drones

Delivery and inspection drones represent one of the clearest examples of applications where compute performance must coexist with strict size, weight, and power constraints.

With greater AI inference capability and improved energy efficiency, NVIDIA Jetson Orin Nano 2 can support various applications such as inspection, mapping, and autonomous navigation.

•Vision AI Systems

Industrial and embedded vision applications are also becoming more sophisticated.

Instead of processing a single AI model, modern vision systems may need to manage multiple cameras, perform several inference tasks, analyze video streams, and generate actionable information in real time.

The additional AI and video processing performance of NVIDIA Jetson Orin Nano 2 gives developers greater room to build these more advanced pipelines within compact edge systems.

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FORECR and the Next Generation of NVIDIA Jetson Edge AI

At FORECR, we develop carrier boards, industrial computers, and rugged edge AI platforms designed around NVIDIA Jetson modules, helping organizations move from AI development to reliable real-world deployment.

As the Jetson ecosystem continues to evolve, new modules such as Jetson Orin Nano 2 create opportunities to bring greater AI capabilities into compact industrial and embedded systems. From autonomous robots and UAVs to industrial vision and intelligent edge applications, FORECR is committed to enabling developers and organizations to transform NVIDIA Jetson computing performance into deployment-ready edge AI solutions.

The arrival of NVIDIA Jetson Orin Nano 2 marks another important milestone in that evolution—bringing significantly more AI performance to the entry-level edge.

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Availability

The NVIDIA Jetson Orin Nano 2 module and developer kit are expected to become available in the first half of 2027.