Blaize Holdings, Inc. has announced a three-way strategic collaboration with Nokia and PT Datacomm Diangraha to accelerate the deployment of hybrid AI inference infrastructure across Indonesia and the rest of the Asia-Pacific (APAC) region.
“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,” said Dion Leung, head of AI and Cloud, Asia Pacific, Nokia.
Delivering hybrid AI inference infrastructure
The collaboration rests on the belief that no single compute paradigm serves every AI workload and that hybrid AI architectures are the most effective in enterprises.
The partnership aims to integrate Nokia’s end-to-end networking capability and Balize’s programmable, energy-efficient AI inference platforms designed for edge and hybrid cloud deployment, with PT Datacomm Diangraha’s 30 years of regional infrastructure expertise.
“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,” said Dinakar Munagala, CEO, Blaize.
“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, said.
Blueprint for other markets
Successful implementations in the Indonesian market will serve as a model for neighbouring markets, including Vietnam, the Philippines, and the broader Southeast Asian region. These areas experience the same increasing demand for AI inference, cost sensitivity, and the need for distributed deployment solutions.