NVIDIA Jetson for Defence: Edge AI

Introduction to Edge AI in Military Applications

The use of artificial intelligence (AI) in military applications is becoming increasingly prevalent, with edge AI being a key area of focus. Edge AI refers to the deployment of AI algorithms and models on edge devices, such as robots, drones, and sensors, to enable real-time processing and decision-making. This approach has numerous benefits, including improved latency, reduced bandwidth requirements, and enhanced security. In the context of military applications, edge AI can be used to enhance surveillance, reconnaissance, and security operations, making it a critical component of modern defence systems.

NVIDIA Jetson is a leading platform for edge AI, providing high-performance computing capabilities and low power consumption. Its modular design and compact form factor make it ideal for use in autonomous defence robots and unmanned systems. As a result, NVIDIA Jetson has become a popular choice among defence contractors and military organisations looking to develop and deploy edge AI-powered systems.

NVIDIA Jetson Modules for Defence Applications

NVIDIA offers a range of Jetson modules, each with its own unique features and capabilities. The Jetson Nano, Jetson Xavier NX, and Jetson AGX Xavier are among the most popular modules used in defence applications. These modules provide a range of benefits, including:

• High-performance computing capabilities, with up to 32 TOPS of AI performance
• Low power consumption, with as little as 5W of power required
• Compact form factor, making them ideal for use in small form factor systems
• Modular design, allowing for easy integration with other components and systems

These features make NVIDIA Jetson modules an ideal choice for developing autonomous defence robots and unmanned systems. For example, the Jetson Xavier NX is being used in the development of autonomous ground vehicles (AGVs) for military logistics and supply chain management. These AGVs use edge AI to navigate complex environments, avoid obstacles, and optimise routes, improving the efficiency and effectiveness of military operations.

Autonomous Defence Robots and Unmanned Systems

Autonomous defence robots and unmanned systems are being used in a range of military applications, including surveillance, reconnaissance, and security operations. These systems use edge AI to process and analyse data from various sensors, such as cameras, lidar, and radar, to detect and respond to threats in real-time. For example, autonomous unmanned aerial vehicles (UAVs) are being used for surveillance and reconnaissance missions, providing real-time video feeds and sensor data to military commanders.

CarphaCom Robotised, developed by QubitPage, is an example of an autonomous defence robot platform built on NVIDIA Isaac Sim and Jetson. This platform provides a range of benefits, including:

• Autonomous navigation and control, using edge AI to process and analyse sensor data
• Real-time video and sensor feeds, providing military commanders with enhanced situational awareness
• Modular design, allowing for easy integration with other components and systems
• High-performance computing capabilities, using NVIDIA Jetson modules to enable edge AI

As a Premier partner at NVIDIA GTC 2026, QubitPage is showcasing its CarphaCom Robotised platform, demonstrating the potential of edge AI in military applications. With its high-performance computing capabilities and low power consumption, NVIDIA Jetson is the ideal platform for developing autonomous defence robots and unmanned systems.

Edge AI for Surveillance and Reconnaissance

Edge AI is being used in surveillance and reconnaissance applications to enhance the detection and tracking of targets. For example, autonomous UAVs are being used to detect and track enemy personnel and vehicles, providing real-time video feeds and sensor data to military commanders. Edge AI algorithms and models are used to process and analyse this data, detecting and tracking targets in real-time.

A study by the US Department of Defense found that the use of edge AI in surveillance and reconnaissance applications can improve target detection rates by up to 30% (Source: US Department of Defense, "Edge AI for Surveillance and Reconnaissance", 2022). This is a significant improvement, highlighting the potential of edge AI to enhance military operations.

Security Operations and Edge AI

Edge AI is also being used in security operations to enhance the detection and response to threats. For example, autonomous robots are being used to patrol perimeter fences and detect intruders, using edge AI to process and analyse sensor data in real-time. Edge AI algorithms and models are used to detect and respond to threats, improving the security and safety of military personnel and assets.

A report by MarketsandMarkets found that the use of edge AI in security operations is expected to grow by up to 25% per year from 2023 to 2028 (Source: MarketsandMarkets, "Edge AI in Security Operations", 2023). This growth is driven by the increasing demand for autonomous security systems and the need for real-time threat detection and response.

NVIDIA GTC 2026 and the Future of Edge AI

NVIDIA GTC 2026 is a premier conference for AI, robotics, and computer vision, providing a platform for industry leaders and researchers to share their latest developments and innovations. As a Premier partner, QubitPage is showcasing its CarphaCom Robotised platform, demonstrating the potential of edge AI in military applications.

NVIDIA GTC 2026 will feature a range of sessions and exhibits on edge AI, including keynote presentations, technical talks, and product demonstrations. Attendees will have the opportunity to learn about the latest developments and innovations in edge AI, including new NVIDIA Jetson modules and software development kits (SDKs).

Conclusion and Future Directions

In conclusion, the use of NVIDIA Jetson in defence applications is revolutionising the way military operations are conducted, enabling edge AI to enhance surveillance, reconnaissance, and security operations. With its high-performance computing capabilities and low power consumption, NVIDIA Jetson is the ideal platform for developing autonomous defence robots and unmanned systems.

As the demand for edge AI in military applications continues to grow, we can expect to see new and innovative developments in the use of NVIDIA Jetson and other edge AI platforms. With its CarphaCom Robotised platform, QubitPage is at the forefront of this technology, providing a range of benefits and capabilities for autonomous defence robots and unmanned systems.

If you want to learn more about the use of NVIDIA Jetson in defence applications and the CarphaCom Robotised platform, visit qubitpage.com today. Our team of experts is available to provide more information and answer any questions you may have.