One-Liner
A Korean government workload-quota compliance layer on top of existing GPU fleet routing tools, helping government-allocated GPU pools comply with MSS domain-specific reporting requirements.
AI Thinking Process
World context 4.3 + 6.12: Korea-NVIDIA 260,000+ GPUs shared across robotics + semiconductors + startups. Cross-domain opportunity: Korean-language fleet management + workload routing tool maximizing utilization across 3+ domain workloads.
G167 artifact-owner check: GPU fleet routing artifact owned by NVIDIA Run.ai (acquired April 2024) and SageMaker. Run.ai is the incumbent. Re-frame to KR MSS quota-compliance layer where Run.ai cannot certify against Korean MSS quotas.
Kill reason (TAM) is positional. Pivot: ship as multi-region policy-router for any gov-allocated GPU pool (KR + JP + TW + CN + Singapore SGCC) via configuration layer. ~120-200 institutional buyers globally.
Pivot also fails: multi-region policy product requires 4-6 year ramp; NVIDIA closes the window. G167 verdict: artifact owner check should have killed this in 30 seconds — burned 8 minutes instead. Lesson: enforce G167 30-second timer.
Kill Reason
The GPU fleet routing artifact is owned by NVIDIA Run.ai — a product acquired by NVIDIA in April 2024. The target customers (KAIST, KISTI, chaebol R&D pools) already have Run.ai as a natural vendor. Even the Korean policy-reporting differentiation is accessible to NVIDIA via a regional compliance module. Pivot to multi-region policy router was attempted but failed: each region requires 9-12 months of policy engineering work, and NVIDIA closes the window before the multi-region product reaches TAM validation.
Risk Analysis
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