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Korean AI startups (3-10 employees) struggling to secure GPUs due to the AI chip shortage rely on major cloud providers (AWS/GCP), facing monthly GPU costs of $3,750-$15,000. Meanwhile, SMEs and university labs with GPUs leave them 60-80% idle during nights and weekends. No domestic platform exists to match these two sides.
A P2P Marketplace for trading idle GPU time by the hour. GPU owners list their idle time slots and pricing; buyers search by workload requirements (VRAM, compute, duration) and book instantly. Includes automated environment setup (Docker), guaranteed data deletion after job completion, and escrow payments.
| N Novelty | 1-5 | How uncommon the service is in market context. |
| U Urgency | 1-5 | How urgently users need this problem solved now. |
| M Market | 1-5 | Market size and growth potential from proxy indicators. |
| R Realizability | 1-5 | Buildability for a small team with realistic constraints. |
| V Validation | 1-5 | Validation signal quality from competition and demand data. |
| Tech Complexity | / 40 | Difficulty of core implementation stack. |
| Data Availability | / 25 | Practical availability and cost of required data. |
| MVP Timeline | / 20 | Expected time to ship a usable MVP. |
| API Bonus | / 15 | Bonus for viable public API leverage. |
| Competition | / 20 | Signal quality from competitor landscape. |
| Market Demand | / 20 | Demand proxies from search and mention patterns. |
| Timing | / 20 | Fit with current shifts in tech, behavior, and regulation. |
| Revenue Signals | / 15 | Reference evidence for monetization viability. |
| Pick-Axe Fit | / 15 | How well the concept serves participants in a trend. |
| Solo Buildability | / 10 | Practicality for lean-team implementation. |