How High-Performance Computing at the Edge Powers AI, Augmented Reality/VR, Cybersecurity and More

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This article is part of a special issue of VB. Read the full series here: The Future of the Data Center: Managing Growing Demands.

In recent years, many data centers have moved from a centralized model to an edge computing approach. This brings computing closer to the point of use, reduces latency and improves performance.

This change was driven by an increase in AI-based software and the widespread adoption of 5G technologies for more efficient delivery of data packets.

Enterprises, cloud service providers, and telecommunications companies are investing heavily in digital data centers at the edge to power applications like streaming video, telemedicine, and factory automation. Additionally, edge data centers facilitate the implementation of advanced technologies such as augmented and virtual reality (AR/VR) and autonomous vehicles.

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This paradigm shift involves a redefinition of data centers and a complete overhaul of their architecture.

To gain a competitive edge in today's fast-paced and fierce economy, businesses are combining edge computing with infrastructure modernization and other IT innovations to meet the demands of the modern digital age.

Specifically, enterprises are shifting their data center strategy toward high-performance edge computing to meet the compute demands of AI.

"High-performance edge infrastructure enables AI computing to occur near the data center at the edge of a network instead of a private data center," Utpal Mangla, general manager of distributed edge, sovereign cloud and partnerships at IBM, told VentureBeat. "Because the data is analyzed locally, there is potentially better availability and more real-time analytics.

“It also helps reduce networking costs,” he added.

Incorporating high-performance computing (HPC) capabilities at the edge, it...