Edge Infrastructure Review

Nokia-Blaize alliance targets GPU limits with hybrid edge AI push in Southeast Asia

Nokia-Blaize alliance targets GPU limits with hybrid edge AI push in Southeast Asia

Blaize, Nokia, and Datacomm Diangraha are collaborating to deploy hybrid AI infrastructure across Indonesia and Southeast Asia.

This partnership seeks to help accelerate AI adoption by combining Nokia’s networks, Blaize’s energy-efficient AI compute and Datacomm’s regional expertise.

“The combination of Nokia’s validated networking infrastructure and Blaize’s energy-efficient inference compute is uniquely positioned for the enterprise edge,” says Dinakar Munagala, CEO, Blaize. “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.”

The partnership combines Nokia’s advanced infrastructure for GPU-compute telco workloads with Blaize’s platform for low-power enterprise edge AI processing.

Datacomm reports increasing demand for AI inference solutions in Indonesia, highlighting the market’s rapid growth.

The alliance is rolling out in the public sector as well as geospatial and enterprise, with Indonesia as the target market for expansion.

The hybrid approach enables the best fit compute platform (GPU or Blaize edge AI) for the right workload.

Nokia and Blaize recently signed an edge AI inference MOU targeting APAC networks earlier this year.

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