Nokia Oyj, Blaize Holdings and PT Datacomm Diangraha announced a three‑way strategic alliance to deliver hybrid AI inference infrastructure across Indonesia and the wider Asia‑Pacific region. The partnership builds on earlier agreements reached in January 2026 and a memorandum of understanding signed at GITEX AI Asia 2026, and it creates a pre‑validated technology and go‑to‑market stack for AI workloads.
The alliance combines Nokia’s telco‑grade GPU networking, Blaize’s energy‑efficient enterprise edge AI platform, and Datacomm’s 30 years of regional infrastructure expertise. Together they will provide a turnkey solution that accelerates deployment, reduces power consumption, and improves operational reliability for AI workloads at the edge.
Indonesia’s AI market is expanding at a 31% compound annual growth rate, the fastest in Southeast Asia, and is projected to add up to $140 billion to the country’s GDP by 2030. Datacomm has reported a 50%+ surge in customer AI inference demand over the past six months, while Vietnam and the Philippines are also experiencing rapid growth in AI adoption.
Blaize has shown strong commercial momentum, with revenue rising from approximately $1 million in Q1 2025 to $23.8 million in Q4 2025, its first full year of commercial revenue. The partnership is expected to support Blaize’s continued expansion into new markets.
The strategic rationale is to accelerate the deployment of hybrid AI inference, making AI solutions faster, more cost‑effective, and operationally reliable. This aligns with Nokia’s AI networking strategy and Blaize’s focus on edge AI. Dinakar Munagala, CEO of Blaize, said, "The combination of Nokia's validated networking infrastructure and Blaize's energy‑efficient inference compute is uniquely positioned for the enterprise edge."
By positioning the alliance as a reference model for adjacent Southeast Asian markets, Nokia, Blaize and Datacomm aim to drive broader adoption of hybrid AI inference across the region, leveraging their complementary strengths to meet the growing demand for efficient, high‑performance AI solutions.
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