Part 7: Compute Sovereignty & Trusted Data — Pillars 3 & 4
- Tetsu Yamaguchi
- Jun 3
- 1 min read
Japan’s edge in power‑efficient hardware and privacy culture can translate into tangible AI leverage—if compute and data are marshalled as national assets rather than siloed perks.
1. Pillar 3️⃣ — Domestic Compute Commons
Fugaku‑LLM proved CPUs can pre‑train a 13 B‑parameter Japanese‑centric model in 12 days ; ABCI 3.0 will add 4 500 H100s by 2025 Q4 . The proposed Compute Commons federates these public clusters with telco and utility data‑centres.
Provisioning tier | Stakeholders | Pricing | SLAs |
Academic & SME (30 % capacity) | MEXT, J‑Startup | power + cooling cost only | 90 % uptime; free night‑batch |
Industrial R&D (50 %) | Corporate consortia | Cost + 20 % overhead | 99.5 % uptime; H100 & quantum nodes |
Commercial cloud resale(20 %) | NTT Data, KDDI Cloud | Market rate | 99.9 % uptime; multi‑AZ |
Governance: an open ledger logs GPU hours vs carbon intensity; credits tradeable under Japan’s ETS.
2. Pillar 4️⃣ — Trusted Data Spaces & Privacy‑Enhancing Tech
The Digital Agency’s light‑touch AI Bill plus Hiroshima G7 guidelines position Japan as a middle‑way between the U.S. “anything goes” and EU “risk tiers.”
4.1 Sector Sandboxes
Health: federated cancer genome learning across 23 prefectural hospitals using secure enclaves.
Mobility: HD‑map RAG APIs expose hashed road‑scene embeddings—usable for model training yet anonymous.
Manufacturing: robot telemetry broker under OPC UA‑compatible schemas.
4.2 PET Hack Grants
Annual ¥1 bn contest funds open‑source libraries for homomorphic inference, differential privacy, and split learning. Winning teams get automatic integration credits on Compute Commons.
3. Roadmap
Year | Deliverable |
2026 | Compute Commons portal (single sign‑on, carbon ledger) goes live |
2027 | Health & mobility trusted spaces publish first reference datasets |
2028 | PET grants deliver homomorphic INT4 infer‑lib compatible with Bamba‑Tiny |
2030 | 50 % of Japanese SMEs report using Commons resources in annual METI survey |
Outcome: Compute + data become as inter‑operable as the Shinkansen network, giving domestic innovators a friction‑free launchpad.
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