At the Scale Computing partner and customer conference held at Resorts World, Las Vegas, the company introduced its Scale Computing Platform//2025. This platform is designed to provide a robust edge computing foundation, integrating software and hardware specifically for AI inference, complex workloads, and distributed environments.
SC//Platform: AI-Optimized Infrastructure
Scale Computing’s SC//Platform facilitates the deployment of AI workloads at the edge, where rapid decision-making and low-latency processing are essential. Jeff Ready, CEO and co-founder of Scale Computing, emphasized the necessity of a suitable infrastructure to support AI innovation, stating that it must encompass everything from physical deployment to software delivery.
Key Features of SC//Platform
SC//Platform empowers businesses to execute AI applications while managing real-time data, enhancing operational efficiency. Its capabilities include:
- Autonomous Infrastructure Management: Enables AI applications to function, adapt, scale, and recover without human intervention, thus minimizing IT overhead and maximizing uptime.
- Application Lifecycle Management at Scale: Streamlines the deployment and maintenance of intricate AI systems across numerous distributed sites.
- Support for Decentralized AI and Federated Learning: Organizations can efficiently manage AI models trained on local data while ensuring high performance and security.
- Cloud-Like Control: Centralized fleet management alongside API-driven automation allows for real-time management of distributed AI setups.
Infrastructure for Agentic AI
As AI systems evolve into intelligent, self-optimizing agents, the infrastructure must keep pace. SC//Platform is tailored to handle the specific demands of contemporary AI applications:
- Automation and self-healing infrastructure to reduce operational complexity.
- Enabling AI inferencing at the edge for expedited application responses.
- Real-time processing capabilities critical for computer vision tasks such as object detection and facial recognition.
- Enhanced security measures incorporating a zero-trust architecture and localized data processing.
- Flexibility and scalability for both hybrid and decentralized setups.
- Lower total cost of ownership through integrated AI and simplified management.
Driving AI Innovation
Scale Computing is already relied upon by organizations globally to sustain mission-critical workloads and AI applications. As industries explore new possibilities with AI, SC//Platform offers the necessary infrastructure for large-scale innovation. For further insights, interested parties can access the infographic titled “Living on the Edge: 5 Tips for IT Leaders Looking to Deploy AI at the Edge” through registration.