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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A Deep Dive into the QMC (VITA 93) Standard - Unveiling the Future of Small Form Factor I/O

March 5, 2025

Discover how the QMC (VITA 93) mezzanine standard is revolutionizing rugged embedded computing with its compact design and powerful I/O solutions. Learn from this insightful session on how QMC enhances performance in harsh environments while integrating seamlessly with leading open standards like OpenVPX, SOSA, and VNX+.

https://elma-2.wistia.com/medias/l6mqlz0pyv

How AI Enables CJADC2 Capabilities

September 12, 2024

CJADC2 Virtual Summit, Session II: How AI Enables Common Joint All-Domain Command and Control Capabilities