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Powering the Future of AI at the Edge with SC//Platform

Infrastructure for AI that Thinks—and Acts—for Itself

As enterprises transition to agentic AI-driven operations, Scale Computing is uniquely positioned to provide the foundation for intelligent, autonomous infrastructure. Scale Computing Platform empowers organizations to deploy AI workloads with confidence, ensuring resilience, adaptability, and operational simplicity—bridging the gap between artificial intelligence innovation and real-world execution.

By integrating autonomous management, decentralized AI processing, and AI-driven optimization, SC//Platform is the foundation for scalable, intelligent, and resilient enterprise AI deployments. Organizations across industries rely on Scale Computing to power AI-driven automation, predictive analytics, and mission-critical workloads—reducing operational complexity while maximizing performance and reliability.

Benefits of Scale Computing’s AI-Ready Infrastructure

Scale Computing Platform combines autonomous infrastructure, real-time edge analytics, and resilient architecture to enable AI agents that run, adapt, and recover—without human intervention.

Simplified Operations

SC//Platform eliminates the complexity of distributed AI infrastructure with built-in automation, self-healing, and remote fleet management.

Accelerated AI Performance

Enable real-time decision-making at the edge with local inference, optimized workload distribution, and ultra-low latency execution.

Secure & Compliant AI Execution

Deploy AI workloads in zero-trust environments with localized data processing and sovereignty controls to meet compliance standards.

Core Components of SC//Platform

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Alternative Architectural Approaches of Distributed Edge Locations

Your enterprise is an ever-evolving mix of application workloads required to support operations across dispersed locations that may number in the tens, hundreds, or thousands.

If you are like most, you are responsible for maintaining legacy applications (Windows/Linux and VMs), as well as the current and/or future need to support new, modern application architectures (such as containers/cloud-native apps/IoT/analytics).

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How SC//Platform Enables AI at the Edge

Autonomous Infrastructure Management

SC//Platform’s Autonomous Infrastructure Management Engine (AIME) delivers true operational autonomy. It continuously monitors the health of the infrastructure, identifies potential issues before they impact performance, and automatically remediates problems without manual intervention. This self-healing functionality drastically reduces the need for on-site IT, making it ideal for distributed environments and edge deployments. Whether it's applying patches, balancing workloads, or recovering from failures, SC//Platform handles it—autonomously.

Edge Decision-Making & AI Inference

AI models require real-time processing and local decision-making to function effectively. SC//Platform is purpose-built for this reality, enabling AI inference directly at the edge close to where data is generated. Whether it's industrial sensors, retail video feeds, or autonomous machinery, the platform processes and filters data locally, dramatically reducing the volume and latency of cloud-bound traffic. The result: faster decisions, smarter automation, and greater system responsiveness without depending on constant cloud connectivity.

Resilient, Adaptive Architecture

SC//Platform is engineered for resilience and flexibility. It automatically adjusts to fluctuating workload demands, ensuring high availability and continuous uptime across all nodes. Its architecture is built to thrive in unpredictable environments—from back-office closets to factory floors—adapting in real time to changes in infrastructure or resource needs. With integrated failover, live migration, and rolling updates, SC//Platform keeps your applications running with minimal disruption, even as conditions evolve.

Decentralized AI Processing

With SC//Platform, AI doesn’t need to live in a data center. The system supports decentralized AI processing across edge locations, enabling real-time analysis and decision-making where it matters most. It can also support federated learning and distributed AI model training, allowing localized models to learn from data generated on-site while preserving data privacy and minimizing bandwidth usage. This architecture is ideal for organizations running AI at scale, without centralizing all compute in a single location.

Security & Compliance Built In

AI workloads, especially those handling sensitive data, demand more than performance. They require secure, compliant infrastructure. SC//Platform enforces zero-trust security principles and supports local data sovereignty, ensuring that sensitive information stays protected and under your control. With built-in encryption, role-based access, and the ability to isolate workloads, the platform is well-suited for industries where compliance is non-negotiable, including healthcare, finance, and government.

Lower Cognitive Load for IT

SC//Platform helps IT teams focus on what matters. By eliminating the complexity of managing multiple vendors, platforms, and tools, it dramatically reduces the cognitive load on IT staff. Through a unified, intuitive interface and centralized management via SC//Fleet Manager, teams can provision infrastructure, monitor performance, and resolve issues from anywhere—without deep technical expertise. It’s infrastructure that works for you, not the other way around.

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Living on the edge: 5 Tips for IT Leaders Looking to Deploy AI at the Edge

Deploy, manage, and scale AI workloads from SC//Platform—engineered for speed, security, and autonomy. Download the infographic and discover how to turn your AI plans into reality.

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