Nokia, Blaize, and Datacomm Diangraha Unite to Deliver Hybrid AI Inference Across Indonesia and Southeast Asia
HIGHLIGHTS
Three-way strategic collaboration between Nokia, Blaize, and Datacomm for AI infrastructure across Indonesia’s public sector, geospatial, and enterprise verticals
Nokia Network Innovation Lab in Singapore validates joint Nokia-Blaize reference architecture, enabling pre-integrated, production-ready deployments with combined AI compute, networking, security, and lifecycle automation
Datacomm — a Nokia partner with over 30 years of Indonesian market expertise — reports 50%+ surge in customer AI inference demand over the past six months, confirming immediate in-market pipeline
Blaize’s programmable, energy-efficient inference platform has been validated in production edge environments, delivering cost structures and power profiles that GPU infrastructure alone cannot achieve at distributed scale.
Indonesia’s AI Inflection Point
The AI opportunity in Indonesia is accelerating fast. Sovereign AI alone is forecast to add up to USD $140 billion to the country’s GDP by 2030, equivalent to annual economic growth of up to 6.8%, according to the Empowering Indonesia Report 2025 by Indosat Ooredoo Hutchison and Twimbit. Indonesia’s broader AI sector is expanding at a 31% CAGR, the highest rate in Southeast Asia (Marketing-Interactive, 2026).
Indonesia’s technology landscape is undergoing a structural shift. Across government, telecommunications, manufacturing, and enterprise, the question is no longer whether to adopt AI — it is how to deploy it at scale, reliably and economically. Datacomm, one of Indonesia’s leading IT service providers, has seen this transformation in real time.
The Hybrid Advantage: GPU for Telco RAN, Blaize for Enterprise Edge
A central principle of the Nokia-Blaize-Datacomm collaboration is that no single compute paradigm serves every AI workload — and the most effective enterprise AI architectures are hybrid ones. Nokia brings the infrastructure backbone for GPU-intensive Telco RAN workloads: training, AI-RAN acceleration, and large-scale cloud inference where GPU economics are justified. Blaize fills a distinct and equally important role — purpose-built for enterprise edge AI, where power budgets are constrained, deployments are geographically distributed, and the economics of GPU infrastructure are prohibitive.
“The combination of Nokia’s validated networking infrastructure and Blaize’s energy-efficient inference compute is uniquely positioned for the enterprise edge. GPU economics simply do not scale to thousands of distributed sites — but Blaize does. This is not about replacing GPUs; it is about deploying the right compute where it delivers the most value.”
— Dinakar Munagala, CEO, Blaize
Three Partners, One Integrated Stack
Nokia — Network Infrastructure, Telco Integration, and Innovation
Nokia brings end-to-end networking capability — from optical data center interconnect to last-mile edge connectivity — combined with security, lifecycle automation, and systems integration expertise. The Nokia Innovation Lab in Singapore serves as the neutral proving ground where joint solutions with Blaize are developed, tested, and validated before deployment.
“This three-way collaboration represents exactly the kind of outcome-driven partnership the market needs right now. As the trusted global provider of advanced connectivity, Nokia’s role is to make hybrid AI deployable at scale — connecting the cloud to the far edge with a level of reliability, security, and automation that enterprise customers can build real businesses on. With Blaize on compute and Datacomm on the ground in Indonesia, we have the complete picture.”
— Dion Leung, Head of AI and Cloud, Asia Pacific, Nokia
Blaize — Energy-Efficient Enterprise Edge AI Compute
Blaize delivers programmable, energy-efficient AI inference platforms designed for edge and hybrid cloud deployment. Where GPU infrastructure is optimized for telco-scale and cloud-native workloads, Blaize’s architecture is purpose-built for the enterprise edge — enabling organizations to deploy AI at distributed scale with a fraction of the power consumption and infrastructure cost. Blaize’s platform supports workloads including video analytics, geospatial processing, logistics optimization, and computer vision across thousands of sites simultaneously.
Datacomm Diangraha — 30 Years of Regional Infrastructure Expertise
PT Datacomm Diangraha is one of Indonesia’s leading IT service providers, with over 30 years of experience building and managing critical digital infrastructure. Founded in 1990 and headquartered in South Jakarta, Datacomm has grown from a data communication reseller into a comprehensive technology services company with more than 450 employees, serving enterprise, telecommunications, government, and military customers. Datacomm’s end-to-end IT ecosystem covers cloud services, modern data center solutions, advanced IT security, DevOps, and network infrastructure — providing the deployment capability and customer trust that global technology partners require to operate effectively in the Indonesian market.
“Our partnership with Nokia has been the backbone of our infrastructure capabilities for more than two decades. Adding Blaize to that foundation gives us something genuinely new: the ability to take AI inference to our customers at the edge — in the sectors and at the scale that Indonesia’s digital transformation actually requires. This is a strategic move, and the timing is right.”
— Tan Wie Tjin, President Director, PT. Datacomm Diangraha
The three companies are committed to moving quickly — converting the MoU framework into deployed, revenue-generating infrastructure across Indonesia’s most strategically important sectors.
Indonesia’s technology policy environment is also reshaping investment — 89% of enterprises rank digital sovereignty as a key factor in technology decisions (EY Reimagining Industry Futures Study 2026).
Indonesia is intended to serve as the reference market for broader APAC expansion. Validated deploymen