Company Recognized as Leader and Fast-Mover in the GigaOm Radar Report for the Second Consecutive Year
Scale Computing, a market leader in edge computing, virtualization, and hyperconverged solutions, today announced that GigaOm has named the company a Leader in the GigaOm Radar Report for Full-Stack Edge Deployments. For the second consecutive year, Scale Computing is positioned in the inner-most Leader ring, and has been recognized as a Fast Mover, in the Maturity/Platform Play quadrant of the Radar chart. The report plots vendor solutions across a series of concentric rings, with those closer to the center judged to be of higher overall value.
The demands of a digital world and for near-real-time response are driving the need for more applications to run outside the cloud or data center, in distributed locations that are closer to where they are used by people, devices, and IoT technologies. Full-stack edge computing deployments deliver a cloud-like experience to these edge locations, which are otherwise difficult to manage at scale. Cloud-managed and cloud-connected, these hyperconverged infrastructure (HCI) solutions provide all the necessary tools to run applications at customers’ preferred locations for local data collection and processing.
“Scale Computing offers a full-stack edge solution that delivers virtualization, servers, storage, backup, disaster recovery, and fleet management, all in a single, easy-to-manage platform that scales seamlessly and puts computing power at the edge of the network, where organizations need it most,” said Jeff Ready, CEO and co-founder of Scale Computing. “As the future of IT moves rapidly to the edge, Scale Computing is honored to once again be named a Leader in the GigaOm Radar report for Full-Stack Edge Deployments. We’re proud to empower businesses globally with solutions that are easy to use, easy to manage, and easy to deploy—from branch offices to factory floors to distributed retail locations. For organizations looking to scale their Edge AI capabilities, SC//Platform offers a future-proof solution that integrates seamlessly with existing infrastructure, simplifying the complexities of edge AI adoption and enabling enterprises to harness the full potential of AI-driven operations at the edge.”
Scale Computing Platform (SC//Platform) is recognized for bringing together simplicity and scalability in a single offering to replace existing IT infrastructure, providing high availability for running workloads and enabling enterprises to run applications and process data at the edge of their networks. As more enterprises transition to agentic AI-driven operations, SC//Platform’s integrated autonomous management, decentralized AI processing, and AI-driven optimization capabilities empower organizations to deploy AI at the edge with confidence, ensuring resilience, adaptability, and operational simplicity.
Together with its companion Key Criteria report, GigaOm’s Radar Report provides an overview of the market, identifies leading full-stack edge deployment offerings, and helps decision-makers evaluate solutions to make more informed investment decisions. The new report examines 16 of the top solutions and dives into what technology needs and best practices should be considered when looking at full-stack edge deployments. Scale Computing scored well on a number of decision criteria, including:
- Cloud-like management: Scale Computing HyperCore (SC//HyperCore), powered by the Autonomous Infrastructure Management Engine (AIME), handles day-to-day administrative and maintenance tasks automatically, monitors the system for security, hardware, and software errors, and remediates errors where possible.
- Plug-and-play provisioning: SC//HyperCore enables seamless programmatic deployment of containers.
- Visibility and monitoring: Scale Computing Fleet Manager (SC//Fleet Manager), a cloud-hosted monitoring and management tool built for hyperconverged edge computing infrastructure at scale, can monitor fleets from one to 50,000 SC//HyperCore-based clusters, empowering administrators to centrally configure clusters of edge computing infrastructure prior to nodes arriving on-premises with cloud-like simplicity.
Explore AITechPark for the latest advancements in AI, IOT, Cybersecurity, AITech News, and insightful updates from industry experts!