> ## Documentation Index
> Fetch the complete documentation index at: https://docs.visent.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Analytics

> Cost analytics, optimization insights, and spending analysis with Visent Atlas

# Analytics

Visent Atlas provides comprehensive cost analytics and optimization insights to help you understand GPU spending patterns, identify cost-saving opportunities, and optimize your compute budget. Track spending across providers, analyze usage efficiency, and get actionable recommendations.

Generate detailed reports on cost trends, usage patterns, and optimization opportunities with customizable dashboards and automated alerts.

## Cost Analysis

Coming soon - detailed cost breakdown and spending analysis tools.

## Usage Analytics

### Utilization Metrics

Coming soon - GPU utilization analysis and efficiency measurements.

### Cost per Workload

Coming soon - workload-specific cost analysis and optimization.

### Provider Comparison

Coming soon - cost comparison across cloud providers and regions.

## Optimization Insights

```bash theme={null}
# Get cost optimization recommendations
visent atlas optimize --account YOUR_ACCOUNT

# Analyze spending patterns
visent atlas analyze --period 30d

# Compare provider costs
visent atlas compare --providers aws,gcp,azure
```

### Right-sizing Recommendations

Coming soon - GPU instance right-sizing for cost optimization.

### Spot Instance Opportunities

Coming soon - spot pricing analysis and recommendations.

### Reserved Instance Planning

Coming soon - reserved capacity planning and cost savings analysis.

## Reporting

### Automated Reports

Coming soon - scheduled cost reports and spending alerts.

### Custom Dashboards

Coming soon - building custom analytics dashboards.

### Data Export

Coming soon - exporting analytics data for external analysis.

## Budget Management

Coming soon - budget tracking, forecasting, and alert configuration.

## Cost Allocation

Coming soon - cost allocation across teams, projects, and workloads.

## Next Steps

* [Access pricing data](pricing-api) for cost analysis
* [Review market trends](market-trends) affecting costs
* [Explore data sources](data-sources) for comprehensive coverage