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Nokia and Indosat Expand Indonesia’s 5G 

Nokia and Indosat Ooredoo Hutchison (IOH) announced a nationwide network modernization initiative aimed at expanding 5G coverage across Indonesia while laying the foundation for AI-enabled services. Under the agreement, Nokia will deploy advanced low-band and mid-band 5G infrastructure across Indosat’s network, helping improve coverage, capacity, and performance for both consumer and enterprise users.

The rollout includes Nokia’s Habrok and Pandion radio platforms, Levante basebands, Centralized RAN architecture, and automation software. Low-band 5G will be introduced across Indosat’s nationwide footprint, while mid-band 5G coverage is expected to reach approximately 80% of the network over the next three and a half years. The companies said the upgraded infrastructure will support applications spanning public services, healthcare, education, agriculture, industrial automation, and digital services.

A key element of the partnership is the integration of AI-RAN technologies developed jointly by Nokia, NVIDIA, and Indosat. Following the industry’s first AI-RAN call demonstrated at Mobile World Congress 2026, the partners plan to begin AI-RAN field trials in Indonesia before the end of the year. Indosat is also advancing an AI Grid architecture that combines centralized AI factories with distributed AI-RAN infrastructure, creating a platform intended to distribute both AI services and connectivity across the country.

“The next phase of network evolution will be defined by how well operators combine connectivity, intelligence and scale,” said Justin Hotard, President and CEO of Nokia.

🌐 Analysis

This agreement is significant because it moves beyond traditional 5G deployment and directly links radio infrastructure investments with AI infrastructure strategy. Indosat has emerged as one of the industry’s most aggressive proponents of AI-RAN, working closely with Nokia and NVIDIA to explore how radio access infrastructure can support both mobile connectivity and AI workloads. The companies demonstrated the first AI-RAN call at Mobile World Congress 2026, and the next step will be validating those concepts in live commercial networks.

The announcement also builds on Indosat’s broader AI Factory and sovereign AI initiatives in Indonesia. Earlier this year, Indosat partnered with NVIDIA to establish AI infrastructure designed to support local AI development and national digital transformation efforts. By combining centralized AI computing resources with distributed AI-RAN infrastructure, Indosat is pursuing an architecture that could eventually place AI services closer to users while leveraging existing telecommunications assets. The project positions Indonesia among the earliest large-scale deployments of AI-RAN concepts outside of laboratory environments.

Corporate Profile: Indosat Ooredoo Hutchison (IOH)
Headquarters Jakarta, Indonesia
Management Vikram Sinha (President Director & CEO)
Formation Established January 2022 via the merger of PT Indosat Tbk and PT Hutchison 3 Indonesia
Market Focus Nationwide digital infrastructure and connectivity across Indonesia
Scale & Reach ~95 Million Mobile Subscribers
278,000+ Total Base Transceiver Stations (BTS)
Ownership Jointly controlled by Ooredoo Group and CK Hutchison Holdings (via Ooredoo Hutchison Asia)
Business Units Cellular (Voice & Data), MIDI (Multi-Digital Infrastructure for Enterprise), Fixed Telecom, and Home Broadband (HiFi)
AI Ecosystem AI Factory: Sovereign AI infrastructure leveraging NVIDIA graphics architecture via BDx Indonesia
AI Neo Cloud: Dedicated sovereign GPU-as-a-service (B2B commercial arm)
AI-RAN & AI Grid: Next-generation edge infrastructure with a dedicated Innovation Center in Surabaya
Sahabat-AI: Open-source LLM ecosystem optimized for Indonesian regional languages
Ecosystem Partners NVIDIA, Nokia, Google Cloud (including Gemini integration), Cisco, and Lintasarta
Strategic Shift Transitioning from a traditional telecom footprint to an AI-native TechCo. Driving monetization through distributed AI infrastructure, advanced network automation, and hyper-personalized consumer applications.
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