Preferred Networks and Tenstorrent selected for five-year AI processor research
Japan’s NEDO selected Preferred Networks and Tenstorrent for a joint xPU design project incorporating photonics-electronics integration. Their five-year research programme targets processor systems for training and inference across scientific, physical and agentic AI workloads.
Japan’s NEDO selected Preferred Networks and Tenstorrent for a joint xPU design project incorporating photonics-electronics integration. Their five-year research programme targets processor systems for training and inference across scientific, physical and agentic AI workloads.
The announced work divides into system integration and packaging, AI chiplets using stacked memory (led by PFN), and open-architecture CPU chiplets supporting confidential computing (led by Tenstorrent). Commercialization is a later aim, not a current product launch.
At the BUILD 2026 conference, the communications minister cited power, connectivity, cloud access and advanced chips as constraints on local AI growth.
Source: Voice of Nigeria, reporting the Ministry of Communications, Innovation and Digital Economy
Researchers from Ottawa, Columbia and Hanyang reviewed post-CMOS materials and device approaches for artificial neurons; the work is a literature review, not a new chip prototype.
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