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Scale Computing Makes Strategic Updates to HyperCore Solution

Scale Computing updates its SC//HyperCore platform with AI-ready, resilient edge virtualization to cut costs, simplify IT, and boost automation.

Written By
thumbnail Jordan Smith
Jordan Smith
Sep 17, 2025
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Edge computing leader, Scale Computing, recently announced updates to its Scale Computing HyperCore (SC//HyperCore) solution.

SC//HyperCore is a software virtualization platform that delivers enterprise virtualization while reducing complexity and cost.

“At Scale Computing, we take great pride in providing industry-leading, innovative infrastructure solutions to our partners and customers,” said Craig Theriac, vice president of product management at Scale Computing. “As more organizations today look to implement AI automation, they require the right infrastructure and management framework to be successful.”

SC//HyperCore features and capabilities

The SC//HyperCore platform is built for simplicity, speed, and resilience all in a single solution that deploys in minutes, runs anywhere, and keeps applications online automatically.

The solution features “self-healing” technology that automatically corrects issues, keeps systems up to date, and repairs failures as part of a regularly scheduled maintenance cycle, thereby preventing IT crises from occurring.

SC//HyperCore allows the use of much smaller platforms and reserves resources to run user workloads, while providing savings when multiplied across hundreds or thousands of edge sites.

According to Scale Computing, the solution is:

  • Simple: A lightweight solution that deploys in minutes with intuitive tools and zero configuration overhead, simplifying daily management with built-in automation and a clean, web-based interface designed for IT generalists, not specialists. 
  • Efficient: Cost and complexity reduction through eliminating separate vendors for hypervisors, storage, and backup. The unified architecture delivers out-of-box high availability and integrated disaster recovery.
  • Future-proof: The updated platform supports both legacy applications and modern workloads, as well as edge AI, on the same infrastructure, adapting and scaling as environments evolve

Lightweight, resilient architecture supports AI deployments across environments, without requiring onsite staff, enabling organizations to deploy and run AI/ML workloads where data is generated, allowing for real-time decision-making and faster insights.

“The enhancements we’ve made to SC//HyperCore allow users to implement and support automation, and to maintain and scale infrastructure with minimal downtime,” said Theriac. “From computer vision for security and quality control to predictive analytics in retail and manufacturing, our solutions allow users to run advanced inference workloads at the edge with support GPU appliances, delivering the performance, resiliency, and low-latency processing AI demands.”

Other SC//HyperCore updates

Among the new updates for the virtualization platform are:

  • Enhanced Node Lifecycle Management: The updates have simplified and streamlined the user experience for adding new nodes, replacing aging hardware, or deleting a node without interrupting workloads. As needs evolve, IT teams can scale on demand, modernize an environment, and shrink clusters with complete workload continuity.
  • Agentless Backup: Veeam Backup & Replication, with agentless hypervisor backup support for SC//HyperCore, giving customers and partners a simplified, secure, and scalable IT infrastructure, from the data center to the edge.
    • Native integration into the Veeam Data Platform enables organizations to leverage Veeam’s robust data resilience, ransomware recovery, and workload mobility capabilities, ensuring business continuity across any environment.
  • Usability enhancements: Usability improvements to streamline administration and reduce operational friction. Admins can paste text directly into a VM console, which can be used for transferring scripts, license keys, and configurations without relying on external media or custom workarounds.
    • Additional enhancements include support for VM discard (automated space reclamation), replication deletion (removing outdated or unnecessary jobs), and local-only snapshots (capturing VM states without replication overhead). 
  • Improved REST APIs: The updates have overhauled REST APIs to support more operations, with versioning and a changelog to make it easier for developers to confidently adopt new functionality. It maintains backward compatibility, ensuring current API consumers don’t face disruptions. The API framework also supports rapid innovation across the stack.
  • Terraform provider: Teams can manage the full VM lifecycle as code– create, resize, power on/off, delete– all through repeatable scripts. Automated network support and storage configuration, orchestrated snapshots, and replication management allow the platform to integrate into Infrastructure as Code (IaC) practices.

“Modern IT teams across organizations of any size and any vertical need infrastructure that is both scalable and programmable, and SC//HyperCore provides just that,” said Theriac. We make sure AI automation can operate effectively and efficiently, wherever you need it.”

Scale Computing has undergone a significant transformation this year, having been acquired by Acumera, a provider of secure edge connectivity. Learn more about this acquisition and the combination, establishing a unified edge platform.

thumbnail Jordan Smith

Jordan Smith is a news writer who has seven years of experience as a journalist, copywriter, podcaster, and copyeditor. He has worked with both written and audio media formats, contributing to IT publications such as MeriTalk, HCLTech, and Channel Insider, and participating in podcasts and panel moderation for IT events.

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