Scale Computing Platform Backbone of Decentralized AI and Agentic Computing at Edge

At the company’s annual partner and customer conference, Scale Computing Platform//2025, at Resorts World in Las Vegas, NV, the company explains how Scale Computing HyperCore delivers exactly that – a robust, resilient, and scalable edge computing foundation with purpose-built software and hardware integrations to support AI inference, complex workloads, and distributed environments.

Positioned at the intersection of innovation and execution, Scale Computing enables organizations to confidently deploy AI workloads at the edge, where real-time decision-making, low-latency processing, and operational simplicity are paramount.

“AI innovation can’t succeed without the right infrastructure and management framework that encompasses everything from the physical edge infrastructure deployment (servers, GPUs and storage) to software and application delivery and updates,” said Jeff Ready, CEO and co-founder, Scale Computing. “SC//Platform bridges the gap between advanced AI applications and models and the real-world environments where they need to operate-retail stores, factory floors, field offices, and beyond.“

SC//Platform: AI-Ready Infrastructure for a New Era of Computing
From smart retail and industrial automation to computer vision, video analytics and security, SC//Platform empowers enterprises to run AI applications alongside the real-time data they rely on. With broad hardware support including NVIDIA GPUs, autonomous infrastructure management, fleet-wide orchestration, and zero-touch deployment, SC//Platform brings cloud-like simplicity to the edge.

Key capabilities include:

Built-In Autonomous Infrastructure Management: AI applications can continuously operate, adapt, scale, and recover from failures without human intervention-reducing IT overhead and enhancing uptime.
Complex Application Lifecycle Management at Scale: SC//Platform simplifies the deployment and maintenance of multi-component AI systems across thousands of distributed locations.
Decentralized AI and Federated Learning Support: Organizations can deploy and manage AI models trained on localized data without compromising performance or security.
Cloud-Like Control Across Edge Locations: With centralized fleet management and API driven automation, SC//Platform enables real-time oversight and orchestration of distributed AI environments.

Why Scale Computing is the Ideal Platform for Agentic AI
As AI continues to evolve into autonomous, self-optimizing agents, the infrastructure supporting it must be equally intelligent. SC//Platform is specifically engineered to meet the rigorous demands of modern AI deployments:

Reduced Operational Complexity through automation and self-healing infrastructure (HyperCore AIME AIOps capabilities)
Running AI inferencing at the edge enables faster application responses and action
Capability for real-time processing and analysis, which is critical for computer vision applications that rely on rapid, accurate processing of visual data to enable tasks such as object detection, image classification, facial recognition, and automated quality inspection
Enhanced Security and Compliance with zero-trust architecture and localized data processing
Scalability and Flexibility for hybrid and fully decentralized deployments
Lower TCO through integrated AI and streamlined management

Powering Future of AI-Today
Scale Computing is already trusted by organizations worldwide to support mission-critical workloads and AI-based applications. As industries push the boundaries of what’s possible with AI, SC//Platform provides the infrastructure to support innovation at scale. To learn more, download the infographic Living on the Edge: 5 Tips for IT Leaders Looking to Deploy AI at the Edge (registration required).