Introduction

OpenAI develops AI models and tools and enables their use in other products and workflows through APIs and services. OpenAI costs can increase significantly due to inefficient API usage, lengthy and complex model training runs, unnecessary fine-tuning, and retaining large volumes of unused data.

DoiT enables you to integrate OpenAI cost and usage data alongside data from other cloud providers.

Benefits

• Unified cost structure: DoiT enables you to integrate OpenAI cost and usage data alongside data from other cloud providers, giving you a comprehensive view of your cloud expenditures and facilitating better financial decision-making.

• Enhanced visibility: Once you've imported your OpenAI data into the DoiT platform, you can start using Cloud Analytics and other DoiT features such as Budgets, Allocations, Forecasting and Anomaly detection to analyze and monitor your OpenAI cost and usage.

Key features

• OpenAI Lens. The preset OpenAI Lens dashboard helps you identify and track your OpenAI cost and usage. Use the Lens dashboard to decide how and when to optimize costs, monitor performance, and more.

• Model usage. DoiT enables you to see your OpenAI model costs. This is useful as it helps you understand any unexpected expenses, inefficient resource allocation, and potentially unsustainable OpenAI deployments.

• API calls. Regularly reviewing your API usage and cost is important when integrating OpenAIs into your applications. OpenAI costs can increase significantly due to inefficient API usage.

• Fine tuning. Fine tuning existing models requires significant computational resources to adjust the model's weights based on your training data, causing costs to quickly escalate. Monitoring fine-tuning costs ensures that you are getting the desired performance improvements in a cost-effective manner.