Performance Insights and Analytics

Horizon’s analytics dashboard provides a comprehensive view of every aspect of AI model performance, allowing users to make data-driven decisions that enhance model efficiency and effectiveness.

• All-in-One Dashboard: The dashboard consolidates all essential performance metrics into a single, user-friendly interface, giving users a holistic view of their model’s activity. This centralized control center allows users to adjust settings, track performance, and fine-tune models quickly and effectively.

• User Interaction Insights: Horizon tracks user engagement, helping creators understand how their models are being used, identify trends, and make adjustments to enhance user satisfaction. This insight allows creators to align their models with user preferences, optimizing both functionality and relevance.

• Optimization Metrics: Horizon provides detailed metrics on token usage, GPU performance, and computational efficiency. These insights help users maximize the performance of their models, ensuring cost-effective and high-quality deployments that minimize resource consumption.

• Profitability Tracking: The analytics dashboard also tracks revenue generated from model licensing and API usage, as well as associated costs. This transparency gives users a clear understanding of profitability, empowering them to make informed business decisions based on real-time financial data.

• GPU Management: Horizon allows users to monitor GPU resources in real-time, offering detailed insights into performance and cost metrics. This feature enables efficient resource allocation, helping users balance performance with cost to ensure optimized deployments.