Preferred Networks (PFN)
Japan's top deep-learning startup + MN-Core chips
Preferred Networks is Japan's leading deep-learning company, building its own MN-Core AI accelerators (with the MN-Core 2 and MN-Core L1000 inference chip roadmap, fabbed at TSMC) and PLaMo LLMs. It spans full-stack from custom silicon to foundation models and industrial/robotics applications, and is a rare non-US/China vertically integrated AI hardware+model player.
Chips
MN-Core series (TSMC)
LLM
PLaMo
How it fits the stack
Preferred Networks (PFN) with what it depends on (above) and what it feeds (below). The figure renders as a crawlable diagram and upgrades to an interactive 3D graph as it scrolls into view.
Preferred Networks (PFN) in the AI stack. Preferred Networks (PFN) with its immediate upstream dependencies (top) and downstream dependents (bottom) in the AI value chain. Hover a node in 3D, or read the full relationships below.
Graph data (text) — 4 entities, 3 relationships
- Preferred Networks (PFN) —supplies→ TSMC (Taiwan Semiconductor Manufacturing Company)
- Preferred Networks (PFN) —competes with→ Nvidia
- Preferred Networks (PFN) —invests in→ Japan (METI / Rapidus)
Context — capital, rivals, policy · · 2