Our membership in the NVIDIA® Partner Network paired with our expertise in ruggedized embedded computing systems design and enclosure packaging, enables us to offer deployable rugged AI embedded computing platforms based on NVIDIA® Jetson™ modules specifically designed for applications that need to operate reliably regardless of the deployed environment.
Advances in AI and computationally intensive data processing for deep learning are enabling faster adoption of capabilities like object detection/recognition and navigation of autonomous vehicles. Applications in agriculture, automotive, construction and mining, industrial, and military and defense require platform solutions that absolutely require reliable operation in challenging environments.
Companies in these industries are leveraging Elma's deep expertise in industrial and rugged-grade embedded computing platforms and enclosures for their next-gen designs. Using NVIDIA® Jetson™ family AI and video compute system-on-modules (SOMs), we deliver highly reliable, high-performance embedded computing platforms that are qualified to operate reliably across a range of industrial and environmentally harsh environments (extended temperatures, high shock and vibration, and ingress protection from water, sand, dust, salt, fog, and chemical contaminants).
Elma Electronic is a global leader in ruggedized embedded computing systems and proud to be a member of the NVIDIA Partners Program. Our NVIDIA powered AI processors are designed to operate in the most challenging environments. Whether your application environment is a factory floor, an autonomous taxi, mounted on a mining or agriculture vehicle, or deployed on a military aircraft or ground vehicle, Elma has an NVIDIA based AI solution to meet your needs.
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The NVIDIA® R™ Partner Network is a certification and collaboration program for companies that build solutions using NVIDIA technologies — including GPUs, AI accelerators, and edge computing platforms. Membership indicates verified expertise and access to NVIDIA resources that support optimized products and solutions.
Elma’s membership highlights its commitment to supporting customers with AI-enabled, high-performance embedded hardware that integrates seamlessly with NVIDIA GPU-based solutions. This partnership helps ensure that Elma’s platforms are tested and optimized for modern AI, machine learning, and compute-intensive workloads.
Customers benefit from optimized hardware platforms that are validated with NVIDIA software and frameworks. This can lead to easier deployment, improved performance and reliability, better support, and a faster path from prototype to production for AI-centric embedded solutions.
Yes — being part of the NVIDIA R Partner ecosystem ensures that rugged and industrial platforms (such as conduction- or air-cooled embedded systems) are tested for thermal, power, and performance characteristics required for demanding edge and industrial environments.
Membership typically requires technical validation and collaboration with NVIDIA engineers to certify that platforms meet specific performance and compatibility criteria — helping reassure customers that the hardware and software stack will work as expected.

OpenVPX Offers a Forward Path for Space - SpaceVPX, or VITA 78, which was developed according to the Next Generation Space Interconnect Standard (NGSIS), leverages OpenVPX to create high performance, fault tolerant interoperable backplanes and modules for electronic systems of spacecraft. This relatively new update to the family of VPX standards is also being brought into the SOSA Consortium for inclusion in its reference architecture.

Over the past several years, the Modular Open RF Architecture (MORA) has evolved to address the challenges of increasingly complex radio frequency (RF) systems through an open standards-based infrastructure. With several industry partners working together to develop a collaborative framework, MORA’s interoperability and modularity has been realized, resulting in successful demonstrations of multiple manufacturers’ technologies working together. So, we asked some of our open standards partners: What’s next for MORA-based systems and the embedded computing community, now that interoperability demonstrations have been successfully deployed?