NVIDIA Jetson for Defence

Introduction to NVIDIA Jetson

NVIDIA Jetson is a high-performance, low-power computing platform designed for edge AI applications. It is widely used in various industries, including robotics, healthcare, and automotive, due to its ability to provide real-time processing and analysis of data. In the defence industry, Jetson is being used to develop autonomous defence robots and unmanned systems for surveillance, reconnaissance, and security operations.

The use of Jetson in military applications is revolutionising the way defence forces operate, enabling them to make faster and more informed decisions. With its high-performance computing capabilities and low power consumption, Jetson is ideal for edge AI applications, where data needs to be processed and analysed in real-time.

Edge AI in Military Applications

Edge AI refers to the processing and analysis of data at the edge of the network, i.e., at the point of data collection. In military applications, edge AI is used to enable real-time decision-making, improve situational awareness, and enhance operational efficiency. Jetson is being used to develop edge AI systems for various military applications, including:

• Surveillance and Reconnaissance: Jetson is being used to develop autonomous surveillance and reconnaissance systems, such as drones and unmanned ground vehicles (UGVs), that can provide real-time video and sensor data.
• Security Operations: Jetson is being used to develop autonomous security systems, such as intrusion detection and response systems, that can detect and respond to security threats in real-time.
• Autonomous Systems: Jetson is being used to develop autonomous systems, such as autonomous underwater vehicles (AUVs) and unmanned aerial vehicles (UAVs), that can operate independently and make decisions in real-time.

Benefits of Edge AI in Military Applications

The use of edge AI in military applications provides several benefits, including:

• Improved Situational Awareness: Edge AI enables real-time processing and analysis of data, providing defence forces with improved situational awareness and enabling them to make faster and more informed decisions.
• Enhanced Operational Efficiency: Edge AI automates many tasks, freeing up personnel to focus on higher-level tasks and improving operational efficiency.
• Increased Safety: Edge AI enables autonomous systems to operate independently, reducing the risk of human casualties and improving safety.

CarphaCom Robotised by QubitPage

QubitPage's CarphaCom Robotised platform is a prime example of the use of NVIDIA Jetson in military applications. Built on NVIDIA Isaac Sim and Jetson, CarphaCom Robotised is an autonomous robotics platform designed for defence, warehouse, agriculture, and home applications. The platform provides real-time processing and analysis of data, enabling autonomous systems to operate independently and make decisions in real-time.

CarphaCom Robotised is being used to develop autonomous defence robots and unmanned systems for surveillance, reconnaissance, and security operations. With its high-performance computing capabilities and low power consumption, Jetson is ideal for edge AI applications, enabling CarphaCom Robotised to provide real-time video and sensor data.

QubitPage at NVIDIA GTC 2026

QubitPage is a Premier partner at NVIDIA GTC 2026, which will take place at the San Jose Convention Center from March 16-19, 2026. At the conference, QubitPage will showcase its CarphaCom Robotised platform and demonstrate the use of NVIDIA Jetson in military applications. Visitors to the conference will have the opportunity to see the latest developments in edge AI and autonomous systems, and learn how QubitPage's technologies are being used to transform the defence industry.

Statistics and Trends

The use of edge AI in military applications is a growing trend, with many defence forces around the world investing in the development of autonomous systems and edge AI technologies. According to a report by MarketsandMarkets, the global edge AI market is expected to grow from $1.4 billion in 2020 to $6.8 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 34.6% during the forecast period (Source: MarketsandMarkets).

In addition, a report by ResearchAndMarkets.com found that the global autonomous military vehicles market is expected to grow from $2.3 billion in 2020 to $12.3 billion by 2027, at a CAGR of 24.5% during the forecast period (Source: ResearchAndMarkets.com).

Practical Examples

There are many practical examples of the use of NVIDIA Jetson in military applications. For example, the US Army is using Jetson to develop autonomous UGVs for surveillance and reconnaissance missions. The UGVs are equipped with cameras and sensors, and use Jetson to process and analyse the data in real-time, providing real-time video and sensor data to commanders.

Another example is the use of Jetson in the development of autonomous UAVs for security operations. The UAVs are equipped with cameras and sensors, and use Jetson to detect and respond to security threats in real-time.

Conclusion

In conclusion, the use of NVIDIA Jetson in military applications is revolutionising the defence industry, enabling the development of autonomous defence robots and unmanned systems for surveillance, reconnaissance, and security operations. With its high-performance computing capabilities and low power consumption, Jetson is ideal for edge AI applications, providing real-time processing and analysis of data.

QubitPage's CarphaCom Robotised platform is a prime example of the use of NVIDIA Jetson in military applications, providing real-time video and sensor data and enabling autonomous systems to operate independently. As the use of edge AI in military applications continues to grow, we can expect to see more developments in this area, with QubitPage and NVIDIA at the forefront of this technology.

If you want to learn more about QubitPage's CarphaCom Robotised platform and how it is being used in military applications, visit qubitpage.com today.