Jakarta, INTI - Blaize Holdings, a California-based technology company in the United States, has partnered with Nokia and PT Datacomm Diangraha to develop hybrid AI inference infrastructure across Indonesia and the Asia-Pacific region.
The initiative builds upon the strategic partnership between Nokia and Blaize announced in January 2026, as well as the Memorandum of Understanding (MoU) signed between Blaize and Datacomm during GITEX AI Asia 2026. The collaboration combines the strengths of each partner to accelerate AI adoption across enterprise and public sectors in Indonesia.
According to Yahoo Finance, the partnership is based on the principle that no single computing paradigm can support every AI workload, and that the most effective enterprise AI architecture is a hybrid model.
Nokia provides the core infrastructure backbone, including Artificial Intelligence-Radio Access Network (AI-RAN) acceleration and large-scale cloud inference capabilities.
AI-RAN is a technology that integrates artificial intelligence into Radio Access Networks (RAN) to make mobile networks smarter, more efficient, and adaptive. The technology improves network performance, increases energy efficiency, and enables edge computing for AI applications.
Nokia also delivers end-to-end networking capabilities, ranging from optical data center interconnection to remote edge connectivity, combined with security, lifecycle automation, and system integration expertise.
The Nokia Innovation Lab serves as a neutral testing environment where joint solutions with Blaize are developed, tested, and validated before deployment.
“This three-way collaboration represents the kind of outcome-driven partnership the market needs today,” said Dion Lung.
He added that Nokia’s role is to make hybrid AI deployable at scale. “With Blaize handling computing and Datacomm operating on the ground in Indonesia, we now have the complete picture,” Dion stated.
Edge AI and Regional Expansion Strategy
Meanwhile, Blaize contributes a programmable and energy-efficient AI inference platform designed for both edge and hybrid cloud deployment.
While GPU infrastructure is generally optimized for telecom-scale and cloud-native workloads, Blaize’s architecture is specifically engineered for enterprise edge environments, enabling organizations to deploy AI at distributed scale with significantly lower power consumption and infrastructure costs.
The Blaize platform supports workloads such as video analytics, geospatial processing, logistics optimization, and computer vision across thousands of locations simultaneously.
With more than 30 years of experience as an information technology and services provider, PT Datacomm Diangraha will contribute deployment capabilities and trusted local market expertise needed by global technology partners to operate effectively in Indonesia.
“Our partnership with Nokia has formed the backbone of our infrastructure capabilities for more than two decades. Adding Blaize to this foundation gives us something entirely new: the ability to bring AI inference directly to customers at the network edge,” said Tan Wie Tjin.
The validated implementation by Datacomm, Nokia, and Blaize in Indonesia is expected to become a blueprint for neighboring markets, including Vietnam, the Philippines, and the broader Southeast Asian corridor.
Conclusion
The collaboration between Blaize, Nokia, and Datacomm highlights the growing momentum of AI infrastructure development in Southeast Asia, particularly in Indonesia. By combining advanced networking, hybrid AI computing, and local deployment expertise, the partnership aims to accelerate scalable AI adoption across industries while creating a foundation for broader regional expansion in the Asia-Pacific market.
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