Scale Computing Leverages AMD to Fuel Edge AI Workloads

Scale Computing enhances its edge platform with support for AMD EPYC and Ryzen processors. Credit: AMD

Scale Computing integrates AMD CPUs into SC//HyperCore, simplifying edge AI and offering greater flexibility, says Craig Theriac, VP of Product Management.

Scale Computing broadens its infrastructure capabilities by adding AMD CPU support to version 9.7 of the SC//HyperCore virtualization suite.

With AMD EPYC and Ryzen processors, the edge computing provider aims to streamline data deployment exactly where it is generated.

This move deepens an existing partnership between the two technology companies.

While Scale Computing’s SC//Reliant edge computing as a service platform already uses AMD CPUs in retail and distributed settings, this release extends that hardware compatibility across the full portfolio.

For enterprise customers, the release offers a long-sought solution for platform choice across edge, data center, and distributed enterprise environments.

It enables organizations to simplify operations while running emerging AI-enabled workloads outside traditional centralized environments.

Expanding infrastructure choice

IT departments face mounting pressure to reduce complexity, build operational resilience, and prepare systems for AI applications.

The addition of AMD CPU-powered solutions gives these teams a new deployment path.

Craig Theriac, VP of Product Management at Scale Computing, explains that customers are actively seeking more choice while modernizing virtualization platforms and planning for edge AI.

He says: “With SC//HyperCore virtualization suite version 9.7, we are expanding support for AMD platforms in a way that directly aligns with our mission: making infrastructure simpler to deploy, easier to manage, and more resilient across distributed environments.”

AMD gives our customers and partners compelling options across compact edge form factors and high-performance rack systems, and this release is an important step forward in our product strategy

Craig Theriac, Vice President of Product Management at Scale Computing

Meanwhile, Derek Dicker, Corporate VP of the Enterprise Business Group at AMD, notes that organizations need infrastructure capable of handling complex operations without creating management friction.

“Our collaboration with Scale Computing gives customers greater flexibility in how they deploy AMD CPU-powered infrastructure, combining AMD’s performance and efficiency with Scale Computing’s simplified approach to managing workloads from the data center to the edge,” he says.

Derek Dicker, Corporate Vice President of the Enterprise Business Group at AMD

Powering edge AI workloads

As technologies like computer vision, analytics, and automation move closer to source data, infrastructure must deliver dependable performance without adding management overhead.

Distributed sectors such as retail, healthcare, and manufacturing require architecture capable of running traditional virtualized applications alongside new AI tasks.

AMD-powered hardware delivers performance and energy efficiency tailored for adverse operational conditions at the far edge, with form factors ranging from compact devices to robust rackmount units.

This flexibility allows Scale Computing customers to design tailored solutions without sacrificing scalability or resilience.

Early technical evaluations reveal strong potential in consistent high-I/O thread handling, improved power efficiency, enhanced EPYC memory throughput, and the use of embedded GPUs in AMD Ryzen AI platforms.

Furthermore, the update opens up new opportunities for hardware OEMs, ODMs, resellers, and technology partners.

These third-party channel partners can now offer a distinct route to help clients modernize legacy systems and prepare for AI-driven edge requirements.