- Northern.tech partners with NVIDIA to enhance AI product launches.
- The collaboration focuses on fleet management via NVIDIA Microservices for Jetson.
- Mender’s OTA software updates streamline NVIDIA Jetson deployment.
- The joint solution enables rapid AI model iteration and robust security measures.
- Unveiled at NVIDIA GTC, Microservices for Jetson simplify AI application development.
- Edge IoT devices play a crucial role in various industries like security and automotive.
- Integration of Mender and NVIDIA Microservices facilitates scalable AI deployment.
Main AI News:
In a strategic move aimed at accelerating the introduction of AI-enabled products to the market, Northern.tech has partnered with NVIDIA. This collaboration seeks to empower full fleet management capabilities through NVIDIA Microservices for Jetson. Mender, renowned for its over-the-air (OTA) software update solution, presents a streamlined approach to managing pivotal aspects of NVIDIA Jetson deployment on a large scale in real-world scenarios.
In various sectors, the management of extensive fleets of NVIDIA Jetson modules and associated applications post-deployment poses distinct challenges. The continuous refinement and updating of AI models and applications are imperative to enhance product performance while upholding stringent security standards. In the fast-paced realm of AI, there exists a pressing need for a seamless solution that not only extends AI applications to billions of edge devices but also facilitates ongoing iteration and device management throughout their lifecycle.
Through Mender and NVIDIA Microservices for Jetson, users gain access to a myriad of advantages:
- Accelerated iteration on AI models and applications for heightened competitiveness.
- Seamless updates of Microservices for Jetson and the entire operating system stack to ensure maintenance and security.
- Robust and fault-tolerant deployments for enhanced reliability.
- Stringent security measures at every phase of operation.
Unveiled at the prestigious NVIDIA GTC, held from March 18-21 in San Jose, Calif., NVIDIA Microservices for Jetson comprises a suite of cloud-native components that streamline the development of AI applications for IoT products. These components democratize AI’s power, making it accessible to a vast developer community leveraging NVIDIA Jetson, thereby fostering the swift creation of innovative applications utilizing pre-existing solutions like object pattern recognition.
In practical AI applications such as smart cameras in physical security, manufacturing, and automotive industries, edge IoT devices play a pivotal role in ensuring rapid response times and operational efficiency. Through collaboration with NVIDIA, the Mender OTA infrastructure now boasts comprehensive fleet management capabilities with Metropolis Microservices for Jetson.
Eystein Stenberg, the co-founder and CTO of Northern.tech, expresses enthusiasm about the widespread adoption of NVIDIA Jetson in IoT products globally, particularly in physical security and automotive sectors. Stenberg notes, “NVIDIA Microservices for Jetson represents a significant milestone in democratizing AI within the IoT realm, making it accessible to a broad spectrum of innovators.” Given Mender’s extensive track record in managing millions of devices worldwide, it seamlessly integrates with this new era of AI-enabled IoT products.
The integration of Mender and NVIDIA Microservices for Jetson streamlines the updating and management of AI models, applications, and devices at scale in real-world environments. By reducing the timeframes between development, iteration, and product launches, this collaboration propels faster innovation, thereby delivering superior products and expediting the realization of AI’s potential in building a better world.
Conclusion:
The collaboration between Northern.tech and NVIDIA signifies a strategic move towards streamlining the introduction of AI-enabled products to the market. By focusing on fleet management and leveraging OTA software updates, the joint solution addresses critical challenges in AI deployment, such as rapid iteration and robust security. This partnership not only enhances innovation but also signifies the democratization of AI within the IoT domain, potentially reshaping the landscape of AI-enabled IoT products in various industries.
