Scale Computing Delivers 70% Cost Reduction Through Edge Platform Consolidation

Scale Computing case studies show 70% cost reduction and 99%+ uptime through unified edge computing platform managing 100K+ sites globally.

Scale Computing presented its unified edge computing strategy at the 66th IT Press Tour, showing how enterprises can consolidate infrastructure while reducing costs and improving reliability. The company manages 100,000+ sites globally through a single platform.

The Business Case

Traditional edge deployments require separate solutions for virtualization, networking, security, and application management. Scale Computing combines these functions into one platform with measurable results:

• Uptime above 99%

• 70% reduction in overall costs

• 50% improvement in operational efficiency

These metrics come from production deployments across 4,000 customers in 30+ countries.

Customer Results

Yum! Brands deployed Voice AI technology to hundreds of Taco Bell drive-thru locations using Scale Computing's Reliant Platform. The implementation delivered:

• Enhanced order accuracy through natural language processing

• Reduced wait times

• Lower task load for employees

• Consistent customer experience across locations

The technology integrates with existing POS systems, digital menu boards, and loyalty programs without replacing current infrastructure.

Advance Auto Parts replaced single-server point-of-sale systems across 4,500+ stores with Scale Computing's edge platform. The company achieved:

• Lower operational costs

• Improved availability

• Simplified operations across distributed retail locations

• Foundation for POS modernization and container strategy

Chevron selected Scale Computing for 8,500 fuel and convenience store locations operated by independent franchisees. The deployment provides:

• Next-generation networking and security

• Integrated payment processing

• Full observability across all locations

• Broadband and 4G/5G connectivity

• PCI security compliance

Scale Computing now contracts directly with individual operators as an approved service provider.

Breedon Group replaced its entire IT infrastructure in Ireland and deployed edge clusters at remote construction sites. Results include:

• Improved disaster recovery

• Remote management of sites with minimal connectivity

• Real-time data collection from IoT devices

• Centralized PowerBI analytics serving the entire company

Strategic Value

The merger of Scale Computing and Acumera created the only company delivering both edge computing and network security through a single platform. This consolidation addresses a gap in the market—most solutions require multiple vendors and integration work.

Zero-touch provisioning eliminates the need for onsite IT staff. Organizations can deploy and manage applications across thousands of locations from a central interface. This capability is important for industries with distributed operations: retail, hospitality, construction, energy, and healthcare.

The platform supports both traditional VMs and containers, protecting existing investments while enabling modernization. Companies can migrate to containerized applications on their own timeline without forklift upgrades.

AI at the Edge

AI applications require infrastructure that processes data where it's generated. Cloud-based AI introduces latency and privacy concerns for real-time operations.

Scale Computing's platform addresses this by running AI workloads locally while maintaining centralized management and updates. The Taco Bell Voice AI deployment demonstrates how this works at scale—processing customer orders in real time while integrating with enterprise systems.

The company positions edge AI as critical for autonomous systems that need to make decisions without cloud connectivity. Manufacturing, retail, and transportation operations can run AI applications that respond in milliseconds rather than seconds.

Market Position

Scale Computing holds 30+ patents in edge computing and networking. The company has won industry awards seven times for its HCI and edge solutions.

The platform manages 65.6 million data configuration elements orchestrated across customer deployments. This scale demonstrates production maturity beyond pilot projects.

With operations in EMEA, the company has established regional sales and solutions architecture teams covering UKI, DACH, BeNeLux, Nordics, Central and Eastern Europe, France, Southern Europe, Middle East, and Africa.

Implementation Approach

Scale Computing delivers edge computing through three deployment models:

Self-managed customers deploy SC//HyperCore and SC//Fleet Manager on their own hardware with centralized orchestration.

Managed services through SC//AcuVigil provide complete network and security operations without internal IT staff.

Edge computing as a service via SC//Reliant Platform delivers turnkey infrastructure with ongoing management.

This flexibility lets organizations choose based on their IT capabilities and resources.

Companies with strong internal teams can self-manage. Organizations with limited IT staff can outsource operations entirely.

What's Next

By 2030, 75% of enterprise data will be generated and processed at the edge. This shift is happening twice as fast as the move to cloud computing.

Organizations need infrastructure that supports both current and future workloads. The Scale Computing platform provides that foundation—handling traditional VMs today while supporting containers and AI applications tomorrow.

The case studies show consistent patterns: lower costs, higher availability, simplified operations, and faster deployment of new capabilities. These outcomes matter more than technology features when evaluating edge computing platforms.

For enterprises with distributed operations, edge computing is no longer optional. The question is whether to manage multiple point solutions or consolidate on a unified platform.