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Case study · Telecom

A telecom group,one sovereign fabric.

A group-level platform operator for large telecommunications groups, carrying both internal IT and network transformation and the delivery of external cloud and AI services. It is built for multi-country telecom groups, balancing centralized governance against local regulatory compliance and operational autonomy. It lets operators move past traditional connectivity by establishing one cloud-native, AI-enabled infrastructure foundation for network operations, enterprise IT, and commercial cloud and AI offerings.

Constraints and answers

One platform, many jurisdictions, and no shared data plane.

One fabric, federated by jurisdiction

The constraints5
01

Old infrastructure costing more to do less

Legacy telecom infrastructure limited agility, scalability and cost efficiency.

02

Sovereignty limits in every country of operation

Multi-country operations faced strict data sovereignty and regulatory constraints.

03

No window to take the service down

Network operations and IT systems required modernization without service disruption.

04

Capacity only earns when it runs full

Monetizing cloud, GPU and AI capability demanded high utilization and fine-grained governance.

05

Latency that only the edge can meet

Edge computing was required to support low-latency 5G and emerging 6G use cases.

The answers4
01

Integrated cloud-native infrastructure platform

One cloud-native infrastructure across hybrid, multi-cloud and edge environments, with centralized governance and local autonomy held together.

02

AI computing and service platform

Heterogeneous compute is aggregated into one AI fabric, enabling AI-as-a-Service, GPU-as-a-Service and utilization beyond traditional data center models.

03

Federated architecture for sovereignty and compliance

A multi-control-plane architecture gives per-country data isolation while policy, observability and lifecycle management stay central.

04

Edge intelligence for 5G and 6G

Lightweight cloud-native clusters at MEC and edge sites carry ultra-low-latency AI inference and real-time network intelligence.

Sovereignty is a control-plane decision, taken before anything runs on top of it.

The results

Compute utilization above 80%, five service models on one fabric.

80%+
COMPUTE UTILIZATION
Up from a typical 20% to 40%, through intelligent scheduling and GPU virtualization.
MULTI-COUNTRY PLATFORM
Telecom groups operate one cloud-native and AI platform under unified governance.
SERVICE MODELS DELIVERED
IaaS, PaaS, AIaaS, GPUaaS and MaaS, to internal and external customers.
TELECOM TRANSFORMATION
From connectivity provider to cloud and AI service provider.

The operator stops renting the AI layer and starts selling it.

The stack

What was deployed

The AI computing and service layer: model training, inference, managed AI services, GPU pooling and cross-region collaboration inside compliance boundaries.

The cloud-native operating platform for container orchestration, DevSecOps, observability, high availability and unified governance.

The distributed compute, storage and network infrastructure for hybrid cloud, edge deployment, disaster recovery and telecom-grade reliability.

역량에 관한 노트

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