How Scale Computing Aims to Advance Edge AI with AMD CPUs

Edge computing and network solutions provider Scale Computing is adding support for AMD CPU-based infrastructure in its SC//HyperCore virtualisation suite version 9.7. This incorporates AMD EPYC and AMD Ryzen processors.

The update expands deployment options for Scale Computing edge solutions, simplifying virtualisation and AI-enabled workloads closer to where data is generated.

The SC//Reliant edge computing as a service platform already supports infrastructure powered by AMD CPUs for retail and distributed edge environments. 

The addition of AMD EPYC and AMD Ryzen processor support in SC//HyperCore extends the collaboration between the two entities further across the Scale Computing portfolio.

This move will benefit organisations looking to simplify operations and support emerging AI-enabled workloads outside the centralised data centre. 

For Scale Computing customers and partners, the release addresses a long-requested need for broader platform choice across the edge, the data centre and distributed enterprise environments.

Expanding infrastructure choice

As IT teams work to reduce complexity, improve operational resilience and prepare for AI applications, Scale Computing edge solutions powered by AMD CPUs provide a new path for deploying infrastructure.

Craig Theriac, Vice President of Product Management at Scale Computing, explains that customers are asking for more choice and flexibility as they modernise virtualisation and prepare for AI at the edge. 

“With SC//HyperCore virtualisation 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,” he says 

Meanwhile, Derek Dicker, Corporate Vice President of the Enterprise Business Group at AMD, notes that organisations are looking for infrastructure that can support virtualisation, AI and distributed operations without adding complexity:

“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 centre to the edge.”

Powering edge AI

With AI, computer vision, analytics and automation increasingly being deployed closer to the source of data, edge infrastructure must deliver reliable performance without adding operational complexity. 

For distributed industries like retail, healthcare and manufacturing, edge infrastructure must seamlessly support both traditional virtualised applications and emerging AI workloads. 

AMD-powered platforms offer performance and power efficiency optimised for the far edge and adverse deployment conditions. These platforms range from compact edge devices to robust rackmount infrastructure.

For Scale Computing, this means its partners and customers can tailor solutions around specific deployment needs while maintaining simplicity, resilience and scalability, taking advantage of AMD platforms for modern virtualisation use cases while positioning infrastructure for future requirements.

Early technical evaluation has highlighted opportunities around consistent high-I/O thread handling, improved power efficiency for known workloads, EPYC memory throughput and the potential to leverage embedded GPU capabilities in AMD Ryzen AI platforms.

The release also strengthens the Scale Computing partner ecosystem by creating new opportunities for hardware OEMs, ODMs, resellers and technology partners to deliver AMD-based solutions. 

For channel partners, who are third-party companies, the expanded support creates a differentiated path to help customers modernise legacy infrastructure, reduce operational complexity and prepare for AI-driven edge use cases.