Edge Computing
Distributed Processing & Real-Time Computing Platform
Bring computing power closer to your data sources with AI-driven edge orchestration, real-time processing, and enterprise-grade distributed intelligence across 500+ global edge locations. Trusted by Fortune 500 organizations.
Enabling Real-Time Intelligence at the Edge
As applications demand faster response times and IoT devices generate massive amounts of data, traditional cloud computing faces latency and bandwidth limitations. Edge computing brings processing power to the source of data generation, enabling real-time decision making and ultra-responsive applications across your enterprise.
Latency
Cloud-based processing adds 50-200ms round-trip latency, making it unsuitable for real-time applications like autonomous vehicles, industrial automation, and augmented reality.
Edge computing processes data at the source, reducing latency to under 10ms and enabling real-time decision-making for mission-critical applications.
Bandwidth Costs
IoT devices and sensors generate terabytes of data daily. Transmitting all data to centralized cloud is expensive, consuming up to 60% of operational budgets for data transfer alone.
Intelligent edge filtering and aggregation reduces data transfer by up to 70%, sending only actionable insights to the cloud while processing raw data locally.
Data Sovereignty
Strict regulations like GDPR require data to remain within geographic borders. Centralized cloud architectures struggle with cross-border data compliance and residency requirements.
Edge nodes process and store data locally, ensuring full compliance with regional data sovereignty regulations while maintaining global operational visibility.
Comprehensive Edge Computing Solutions
A unified platform to deploy, manage, and scale distributed edge infrastructure with enterprise-grade capabilities.
Edge Infrastructure
Distributed edge computing nodes with micro data center deployment, edge-to-cloud connectivity, and intelligent workload orchestration for enterprise-grade operations.
- Distributed edge computing nodes
- Micro data center deployment
- Edge-to-cloud connectivity
Real-Time Processing
Stream processing and analytics at the edge with sub-millisecond response times, event-driven computing, and real-time machine learning inference for instant decisions.
- Stream processing and analytics
- Event-driven computing
- Real-time ML inference
IoT & Device Management
Comprehensive IoT device connectivity and management with sensor data aggregation, protocol translation, and enterprise-grade device security and authentication.
- IoT device connectivity and management
- Sensor data aggregation
- Device security and authentication
Platform Capabilities
Everything you need to deploy, manage, and scale edge computing infrastructure from a single, unified platform.
Edge Infrastructure
- Distributed edge computing nodes
- Micro data center deployment
- Edge-to-cloud connectivity
- Intelligent workload orchestration
- Auto-scaling and load balancing
Real-Time Processing
- Stream processing and analytics
- Event-driven computing
- Complex event processing (CEP)
- Real-time machine learning inference
- Edge AI and computer vision
IoT Integration
- IoT device connectivity and management
- Sensor data aggregation
- Protocol translation and normalization
- Device firmware and software updates
- Security and device authentication
Edge Management
- Centralized edge orchestration
- Remote monitoring and management
- Edge application deployment
- Performance optimization
- Security and compliance management
Why Enterprises Choose Edge Computing
reduction in processing latency with edge deployment
uptime for critical edge operations and workloads
global edge locations deployed for optimal performance
response time for edge-processed applications and services
Global Manufacturing Corporation
Challenge
Factory automation systems experiencing 200ms+ latency when connecting to cloud services, causing production delays and safety concerns in real-time operations across 12 global facilities.
Solution
Deployed edge computing infrastructure with local processing capabilities, real-time analytics, and intelligent edge-to-cloud synchronization across all manufacturing facilities.
Key Results:
Edge & IoT Ecosystem
Extend your edge infrastructure with cloud-native orchestration, monitoring, and automation tools designed for distributed computing at the network edge.
Ready to Deploy Edge Computing?
Join innovative organizations leveraging edge computing for competitive advantage. Achieve 90% latency reduction and real-time processing with our distributed platform.