How MOSA enables GPU AI acceleration in Embedded Sensor Systems

October 30, 2024

Explore our on-demand webinar, “Implementing GPU-Powered Modular Open Systems Hardware for AI Acceleration in High-Demand Sensor-Based Applications.” In this engaging session, Elma Electronic partners with industry leader Chris Fadeley, CTO of EIZO Rugged Solutions, to discuss the transformative impact of NVIDIA®-powered GPGPU modular systems on AI acceleration for sensor-based applications.

Through this insightful discussion, viewers gain a unique understanding of how these advanced systems empower high-performance AI inference solutions in challenging environments. We explore the implementation of GPU-driven hardware designed to manage complex data processes with exceptional precision and speed. With high-demand applications in focus, this session delves into practical strategies for achieving optimized performance, greater efficiency, and enhanced capabilities in real-time data processing.

Whether you’re an industry professional in AI, sensor technology, or embedded systems, this on-demand recording will provide you with essential insights into leveraging collaborative ecosystems to maximize results. The webinar underscores the power of AI acceleration in delivering real-time insights that were previously beyond reach.

Access this exclusive recording to stay at the forefront of AI-driven advancements and learn how modular open systems are reshaping critical sensor-based applications.

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Examining the Latest Standards for Rugged Small Form Factor Computing

May 11, 2022

In recent years, significant efforts have resulted in bringing open standards to the forefront of next-gen designs to meet the Modular Open Standards Approach (MOSA) initiatives.

https://elma-2.wistia.com/medias/hk1dpdks1f

MES Unmanned Systems Virtual Conference: Applying a MOSA Strategy for Unmanned Systems

April 12, 2022

Military Embedded Systems Unmanned Systems Virtual Conference: Enabling artificial intelligence, safety certification, and MOSA in military unmanned platforms