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products/distributed-compute.md

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@@ -70,7 +70,7 @@ Start earning from day one:
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## Technical Requirements
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### **Minimum Specifications**
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- **Solar Capacity**: 500kW minimum installation
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- **Solar Capacity**: 25kW minimum installation
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- **Grid Connection**: Stable internet connectivity required
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- **Electrical Infrastructure**: Adequate power distribution capacity
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- **Site Security**: Controlled access to compute equipment
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## Get Help & Stay Updated
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### **Ephemeral Compute**
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**$0.05 per compute hour**
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- Best for batch processing
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- Spot instance pricing
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- Auto-scaling available
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- API access included
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- Basic support
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### **Dedicated Compute**
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**$0.15 per compute hour**
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- Guaranteed resources
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- Reserved instances
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- 99.9% uptime SLA
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- Priority support
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- Custom configurations
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### **Enterprise**
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**Custom volume pricing**
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- Dedicated infrastructure
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- Custom SLAs
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- 24/7 phone support
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- Compliance certifications
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- Managed services
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---
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##
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## Technical Specifications
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## Getting Started
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### **Quick Start**
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```bash
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# Install AsobaCode CLI
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curl -fsSL https://install.asoba.co/cli | bash
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# Deploy your first workload
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asoba compute deploy --type gpu --nodes 2 --region auto
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# Monitor your deployment
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asoba compute status
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# Scale your workload
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asoba compute scale --nodes 5
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```
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### **Docker Deployment**
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```bash
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# Deploy with Docker
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docker run -d --gpus all \
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-e ASOBA_API_KEY=your_key \
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your-ai-workload
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# Kubernetes deployment
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kubectl apply -f asoba-compute.yaml
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```
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### **API Integration**
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```python
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import asoba_compute
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# Initialize client
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client = asoba_compute.Client(api_key="your_key")
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# Deploy workload
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deployment = client.deploy(
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workload="ai-training",
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nodes=4,
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region="auto"
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)
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# Monitor status
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status = client.get_status(deployment.id)
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```
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---
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##
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## Comparison with Traditional Cloud
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