> For the complete documentation index, see [llms.txt](https://decores.gitbook.io/decores/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://decores.gitbook.io/decores/for-consumers/pricing-model.md).

# Pricing Model

DeCores offers a flexible and transparent pricing model designed to provide cost-effective access to decentralized cloud computing resources. Our model is built on the principles of pay-as-you-go, ensuring that you only pay for the resources you actually use.

### Key Features of DeCores Pricing

1. **Pay-Per-Use**
   * Charged only for the actual compute time and resources consumed
   * No upfront costs or long-term commitments required
2. **Dynamic Pricing**
   * Prices fluctuate based on real-time supply and demand in the network
   * Opportunity to find cost-effective resources during off-peak hours
3. **Resource-Specific Pricing**
   * Different rates for various resource types (CPU, GPU, storage, etc.)
   * Pricing tiers based on performance levels and specifications
4. **Transparent Billing**
   * Real-time cost tracking and estimation tools
   * Detailed billing reports with breakdown by resource type and usage
5. **Multiple Payment Options**
   * Pay using DCR tokens for platform-native transactions
   * Support for major cryptocurrencies and traditional payment methods

### Pricing Components

1. **Compute Resources**
   * CPU: Priced per vCPU hour
   * GPU: Priced per GPU hour, varies by GPU model
   * RAM: Priced per GB-hour
2. **Storage**
   * Block Storage: Priced per GB-month
   * Object Storage: Priced per GB-month, with additional charges for data transfer
3. **Network Usage**
   * Inbound Data Transfer: Usually free
   * Outbound Data Transfer: Priced per GB transferred
4. **Additional Services**
   * Load Balancing: Priced per hour of usage
   * DNS Management: Fixed monthly rate
   * Monitoring and Logging: Tiered pricing based on data volume

### Cost Optimization Features

1. **Reserved Capacity**
   * Discounted rates for committing to longer-term resource usage
   * Ideal for predictable, steady-state workloads
2. **Spot Instances**
   * Significantly reduced prices for flexible workloads that can handle interruptions
   * Utilize idle network capacity at a fraction of the regular cost
3. **Auto-scaling**
   * Automatically adjust resource allocation based on demand
   * Optimize costs by scaling down during low-usage periods
4. **Resource Scheduling**
   * Schedule resources to automatically start and stop at specified times
   * Reduce costs for non-continuous workloads
5. **Cost Alerts and Budgets**
   * Set up alerts for when spending reaches certain thresholds
   * Implement budget constraints to avoid unexpected costs

### Pricing Transparency

* All base prices are publicly available on the DeCores website
* Real-time pricing information is accessible through the DeCores console and API
* Historical pricing data is available for analysis and forecasting

### Enterprise Pricing

For enterprise customers with large-scale or specific needs, we offer:

* Volume discounts based on usage commitments
* Custom pricing plans tailored to specific use cases
* Dedicated account management and support

### Free Tier

To help users get started and experiment with the platform, DeCores offers a free tier:

* Limited amount of compute and storage resources available at no cost
* Ideal for testing, development, and small-scale projects
* Automatically switches to pay-as-you-go pricing when free tier limits are exceeded

DeCores' pricing model is designed to provide maximum flexibility and cost-effectiveness for our users. By leveraging the decentralized nature of our platform and implementing smart resource allocation, we aim to offer competitive pricing that makes high-performance computing accessible to a wide range of users, from individual developers to large enterprises.