What is edge computing?
As artificial intelligence (AI) continues to garner a significant amount of attention from business and IT leadership, the increasing demand for near real-time data processing highlights the limitations of traditional infrastructures and cloud services, such as buffering, sluggish performance and application timeouts.
To address these issues, organizations are turning to edge computing — a distributed computing framework that brings computation and data storage closer to the data's source. By processing data at the 'edge' of the network, rather than sending everything to a distant cloud server, edge computing minimizes latency and enables real-time processing even in remote locations.
Edge computing + cloud computing: A powerful combination
The integration of cloud computing with edge technology, enhanced by high-performance architectures, not only tackles the challenges posed by traditional infrastructures but unlocks new potential for innovation and operational excellence. This synergy allows for scalable storage and computational power from the cloud, while edge computing supports real-time processing by moving data closer to where it's needed.
This powerful combination addresses the demanding workloads and diverse needs of modern technologies like computer vision, extended reality (XR), digital twins, private networks for IoT and cybersecurity.
Investing in Edge Computing to Squeeze Even More Value Out of the Cloud | Research
Your edge computing strategy doesn't have to be complex
Embrace the future of digital transformation and revolutionize your business with our emerging edge and hybrid cloud edge solutions. We simplify edge computing by providing complete end-to-end services to advise, test, validate, procure, integrate, and deploy edge hardware and software solutions at scale.
We've also partnered with multiple key vendors that provide the transport, the computing and the applications to pull everything together to create fully validated edge builds that can be demoed and ready for production deployments. By leveraging the solution builds to support edge use cases, customers can accelerate their edge strategy by removing the R&D, design and pre-sales efforts.
Explore our offerings
Converged Edge Platform
Simplify Edge Computing with "Edge in a Box"
Edge: Discovery Workshop
Edge Solutions in a Cross Platform Design
Artificial Intelligence and Data
High-Performance Architecture (HPA)
Edge computing use cases by industry
Edge computing is not an off-the-shelf, one-size-fits-all solution. It needs to be strategically deployed and vertically focused. Examples of industry use cases include:
Manufacturing
- Increased efficiency in detecting defects, ensuring product consistency and minimizing waste
- Predictive maintenance based on machinery health and performance with computer vision
- Worker safety enhancement
- Real-time asset tracking and inventory management
Retail
- Real-time personalized recommendations and promotions
- Empowering sales associates with real-time insights
- Frictionless checkout and inventory monitoring
- Enhanced security and shrinkage reduction
Media and gaming
- Reduced latency, resulting in smoother gameplay
- Enables extended reality (EX) to deliver an immersive experience
- Enhanced cloud-based experiences
- Single-player and multiplayer game optimization through improved efficiency and reduced lag
Public sector
- Enhanced traffic flow management
- Smart city management (e.g., track shifting behaviors for water management) with digital twins
- Real-time decision-making for public safety and security
- Analyzes voting machine history to ensure network security
Hear from our experts
Investing in Edge Computing to Squeeze Even More Value Out of the Cloud | Research
Making AI Work For You with HPE at NVIDIA GTC | Beyond the Booth
Transforming Industries with AI: Unlocking the Power of Computer Vision with Intel | Partner Spotlight
AI Readiness and the Role of High-Performance Architecture with WWT and Dell | Partner Spotlight
High-Performance Architecture: An Engine to Drive Your AI Strategy Forward | Experts
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