Webinar: rugged edge computing as a top engineering challenge

June 04, 2021 // By Jean-Pierre Joosting
Webinar: rugged edge computing as a top engineering challenge
Specialized edge computing hardware required to facilitate machine learning, AI, and embedded IoT in heavy industrial settings — deep dive webinar highlights design tips and strategies.

Premio Inc., an edge to cloud global ODM/OEM solutions provider in industrial computing technology, has cited rugged edge computing as a top engineering challenge for embedded designers bringing advanced automation applications to heavy industrial environments. While these emerging applications open a new realm of IoT integration and automation capabilities, development requires a strong understanding of the critical considerations that ensure durable, reliable computer performance suited to handle the algorithms that drive inference computing for machine intelligence.

Premio’s virtual deep dive into this engineering challenge, “The Rugged Edge Survival Guide,” is slated for Friday, June 11, 2021, at 11:30 AM Pacific.

“Smarter IoT applications are needed everywhere, even in the harshest and most remote mobile industrial settings, but they require specialized hardware that can consolidate workloads effectively and deliver powerful data processing, storage, and connectivity. That is the rugged edge, a unique place where data is the new gold but only if you can mine it,” said Dustin Seetoo, Director of Product Marketing, Premio. “To break new ground in these rigorous environments, rugged, high-reliability embedded computers must efficiently pass data back and forth to the core – capitalizing on reduced latency, accelerated processing, and increased data storage capacity right where it is needed. It’s a convergence of the latest IoT technologies from compute, storage, connectivity, and ruggedization – based on specific design principles that enable systems to survive and thrive at the rugged edge.”


Vous êtes certain ?

Si vous désactivez les cookies, vous ne pouvez plus naviguer sur le site.

Vous allez être rediriger vers Google.