Powering Efficiency Across Sectors

QBO’s edge solution drives operational and cost efficiencies for diverse sectors – from Government and Utility & Energy to Media & Entertainment and Retail.

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Government

Enhance Mission-Critical Operations

Industry: Department of defense

Military operations require secure, reliable computing at the tactical edge for real-time decision making, while maintaining data sovereignty and ensuring mission success in disconnected environments.

Business applications
  1. Deploy AI-powered threat detection and response systems that operate autonomously in contested environments
  2. Enable secure data processing and analysis at the battlefield edge with zero-trust architecture
  3. Orchestrate multi-domain operations with resilient edge computing across air, land, sea, and space
Government (MoD & DoD)
Transportation

Revolutionize Content Delivery

Content providers must deliver high-quality, low-latency streaming experiences while managing massive data volumes and adapting to dynamic viewer demands.

Business applications
  1. Enable real-time content processing and optimization at the network edge
  2. Deploy localized content caching and distribution networks for improved streaming performance
  3. Implement AI-driven content personalization and ad insertion at the edge
Media & Entertainment
Retail

Accelerate Intelligent Transportation Networks

Industry: Transportation

Transportation providers face mounting pressure to optimize fleet performance and prepare for autonomous operations—all while processing massive data volumes in real-time.

Business applications
  1. Deploy edge-based predictive analytics for vehicle maintenance, reducing downtime
  2. Implement edge-based traffic management systems that process sensor data locally to dynamically adjust signals, routing, and digital signage with minimal latency
  3. Deploy autonomous vehicle support infrastructure that processes safety-critical data at the edge even in connectivity-challenged environments
Transportation
Utility & Energy

Elevate Shopping Experience

Industry: Retail

Retailers must deliver personalized experiences while optimizing operations, managing inventory, and securing customer data across distributed store locations.

Business applications
  1. Deploy computer vision for real-time inventory management and loss prevention
  2. Enable personalized shopping experiences through edge-based customer analytics
  3. Orchestrate seamless omnichannel experiences with edge computing at store locations
Retail
Healthcare

Supercharge Grid Intelligence

Industry: Utility & Energy

Utilities face increasing demands for grid reliability, renewable integration, and real-time monitoring while managing distributed assets across vast geographical areas. Business applications

  1. Implement predictive maintenance using edge-based ML for critical infrastructure monitoring
  2. Enable real-time load balancing and demand response through distributed edge computing
  3. Automate substation operations with secure edge orchestration and remote management
Utility & Energy
Healthcare

Advance Patient Care

Industry: Healthcare

Healthcare providers need secure, compliant computing solutions that enable real-time patient monitoring, rapid diagnostics, and seamless care coordination across facilities.

Business applications
  1. Process medical imaging and diagnostics locally with AI/ML while ensuring HIPAA compliance
  2. Enable remote patient monitoring with edge-based analytics and alerts
  3. Orchestrate secure data sharing between medical devices and healthcare systems
Healthcare

Leading AI Innovators Trust QBO

“QBO exhibits metal performance across the board with all our ML/AI workloads.”

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Simon McCormack VP Product, Drut

“With QBO, we took our Kubernetes cluster build-time down from 9 minutes to 70 seconds. It’s mind-blowing; I’ve never seen anything like it!”

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Graham McGuiness Jigsaw24

“I don’t understand it cause in theory, it (a 60-second deployment) shouldn’t be possible!”

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Riccardo Berardone Mobiliti Group

“To be able to deliver on our GTM strategy, we needed a lower and predictable infrastructure cost model, like QBO’s.”

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Grahame Smee CEO, OpExx