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examples/grid1/benefits/_category_.json
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examples/grid1/benefits/_category_.json
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{
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"label": "AIBox Benefits",
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"position": 4,
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"link": {
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"type": "generated-index",
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"description": "The benefits of AIBox"
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}
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}
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examples/grid1/benefits/revenue_generation.md
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examples/grid1/benefits/revenue_generation.md
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---
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title: Revenue Generation
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sidebar_position: 2
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---
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### Renting Options
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AIBox creates opportunities for revenue generation through resource sharing. The following numbers are suggestive as each AIBox owners can set their own pricing.
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| Plan | Rate | Monthly Potential | Usage Scenario |
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|------|------|------------------|----------------|
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| Micro | $0.40/hr | $200-300 | Inference workloads |
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| Standard | $0.80/hr | $400-600 | Development |
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| Full GPU | $1.60/hr | $800-1,200 | Training |
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### Proof of Capacity Revenues
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The AIBox implements a tiered proof of capacity reward system, distributing monthly INCA tokens based on hardware configuration
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| Configuration | Monthly Rewards |
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|---------------|----------------|
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| Base AIBox | 500-2000 INCA |
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| 1 GPU AIBox | 1000 INCA |
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| 2 GPU AIBox | 2000 INCA |
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### Proof of Utilization Revenues
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The AIBox implements a revenue-sharing model wherein device owners receive 80% of INCA tokens utilized for deployments, providing transparent proof of utilization economics.
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examples/grid1/benefits/use_cases.md
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examples/grid1/benefits/use_cases.md
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---
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title: Use Cases
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sidebar_position: 3
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---
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### Personal AI Development
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The AIBox provides an ideal environment for individual developers working on AI projects:
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- Model training and fine-tuning
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- Experimental AI architectures
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- Unrestricted testing and development
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- Complete control over computing resources
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The system allows developers to run extended training sessions without watching cloud billing meters or dealing with usage restrictions.
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### Shared Resources
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For teams and organizations, AIBox offers efficient resource sharing capabilities:
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- Multi-user environment
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- Resource pooling
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- Cost sharing
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- Distributed computing
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This makes it particularly valuable for small teams and startups looking to maintain control over their AI infrastructure while managing costs.
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### Commercial Applications
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The system supports various commercial deployments:
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- AI-as-a-Service
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- Model hosting
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- Inference endpoints
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- Dataset processing
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