Edge Computing

Build and manage seamless, zero-touch edge environments with the leading AI platform, ensuring low-latency performance, optimized bandwidth, and robust data privacy and cybersecurity for multi-tenant, multi-user setups.

Familiar Challenges?

Low-latency connections needed
Network and data transfer costs too high
Insufficient network capacity at a specific location
Concerns on data privacy and cybersecurity
Complexities in managing distributed systems and their costs, including service orchestration, monitoring, and CI/CD pipelines

Our Solution

Reduces latency and improves performance by deploying workloads closer to users and devices
Offers traffic routing and optimization strategies together with AI powered capabilities
Helps orchestrate and monitor distributed workloads across on-premises, edge, and cloud environments

Our Unique Value

Demonstrated experience for edge computing Comprehensive Google Cloud knowledge
Accelerated Deployment Frameworks
Google Cloud Specialization on Application Development
Wide experience and best practices on multiple AI use cases

Our Edge Computing References

Telia: Pioneering multitenant edge computing with advanced Google Cloud capabilities. Using Google Kubernetes Engine for Enterprise, it ensures resource isolation, scalability, unified management, and enhanced security. Integrated with 5G – or, in the future, 6G – networks, offering exceptional service, enabling developers to build new applications flexibly and cost-efficiently yet securely and use the shared edge computing resources on Google Cloud.

Google Cloud Capabilities

Google Kubernetes Engine for Enterprise (Anthos)
Cloud Build, Artifact Registry, and Operations Suite
Cloud Storage, Cloud SQL
PubSub, Cloud Functions
Cloud Monitoring
Terraform, Deployment Manager
BigQuary, Vertex AI

How to Get Started

A workshop to evaluate your low-latency, network-heavy, and data sovereignty workloads
Creating a centralized management architecture
Implementing pilot edge workloads