Blaize, a US AI computing company, announced on April 28 a three-way partnership with Nokia and PT Datacomm Diangraha, an Indonesian IT services firm, according to Blaize Holdings. The companies will deploy hybrid AI inference infrastructure in Indonesia and Southeast Asia, using a reference architecture validated at Nokia’s innovation lab in Singapore.
The setup combines Nokia’s networking and security tools, Blaize’s edge AI platform, and Datacomm’s local deployment capabilities. The partnership focuses on public-sector, geospatial, and enterprise projects across the region.
This partnership builds on a Nokia and Blaize collaboration announced in January 2026, according to the announcement. PT Datacomm Diangraha reported that customer demand for AI inference has risen by more than 50% in the past six months.
The deployment model pairs graphics processing unit (GPU) systems in data centers with Blaize inference platforms tuned for distributed enterprise edge deployments—meaning AI systems placed closer to where data is created and used. This hybrid approach aims to move beyond pilot projects and build infrastructure that generates revenue at scale.
What is the focus of this partnership? The three-way partnership between Blaize, Nokia, and PT Datacomm Diangraha focuses on deploying hybrid AI inference infrastructure in Indonesia and Southeast Asia. AI inference refers to running trained AI models for applications such as public safety surveillance and industrial AI tasks.
Which companies are involved in the partnership? The partnership includes Blaize (a US AI computing company), Nokia (providing networking and security tools), and PT Datacomm Diangraha (an Indonesian IT services firm handling local deployment). The reference architecture was validated at Nokia’s innovation lab in Singapore.
What market demand prompted this partnership? According to PT Datacomm Diangraha, customer demand for AI inference has risen by more than 50% in the past six months, indicating strong market interest in Southeast Asia for AI infrastructure deployment.
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