CloudYali AI Cost Tracking: Get Full Visibility into Your AI Spending
Discover CloudYali AI Cost Tracking and gain complete visibility into your AI spending. Track costs across AWS, GCP, OpenAI and more with actionable insights.
Nishant Thorat
Founder
s more businesses use artificial intelligence (AI) to improve their work, they’re adding AI tools like language models and image generators to their technology. AI is becoming a big part of how companies operate. But with this increase in AI use comes a new challenge: keeping track of how much AI costs in the cloud.
Recent studies show that in companies using a lot of AI, AI and machine learning (ML) can take up to 30% of cloud spending. Tracking these costs is tricky because AI service prices depend on things like the number of words (tokens) or images used, the size of the model, and the time spent processing each task (inference time).
That's why we’re excited to introduce AI Cost Tracking in CloudYali, our cost visibility platform for understanding cloud costs. This new feature helps companies keep an eye on their AI spending across different cloud providers. The initial release supports Amazon Bedrock, with support for additional AI services and Google Cloud Platform (GCP) coming soon. To know more about Amazon Bedrock, its pricing and cost optimization strategies please read the blog.
Why Should You Track AI Costs?
Keeping an eye on AI costs is essential for three main reasons:
1. Managing Your Budget
2. Keeping Tabs on Resources
3. Making Smart Plans for the Future
Tracking costs doesn’t just help manage the budget—it helps you use AI effectively, plan for the future, and get the most out of your resources.
AI Cost Dashboard
Key Features
Complete Cost Overview
Our easy-to-use dashboard gives you a clear view of your AI spending, breaking down complex costs into simple, actionable insights. With summary cards and interactive charts, you can quickly check total expenses, follow daily trends, and spot spending patterns—all at a glance.
In-Depth Usage Analytics
Get more than just cost data; dive into detailed usage metrics like token consumption and image generation counts. These insights help you track how resources are being used and make smarter choices for your AI investments.
Cost Breakdown by Tags, Projects, and Teams
Easily allocate and track costs across your organization with a detailed view by team or project. Our platform lets you use tags to organize and analyze spending by business unit, project, environment, or any custom category important to your organization.
Cross-Provider View
Starting with AWS Bedrock and soon expanding to other providers, our platform offers a unified view of your AI spending across different clouds. This single view saves you from jumping between provider consoles, giving you a complete picture of your AI investments in one place.
Getting Started with AI Cost Tracking
Getting started with AI cost tracking is simple for CloudYali users:
Not yet a CloudYali user? Sign up to get started with comprehensive cloud cost visibility, including our new AI cost tracking features.
Future Roadmap
We’re excited to be building out new features to enhance your AI cost tracking experience:
Stay tuned for these updates as we continue making it easier to manage and optimize your AI spending!
Ready to get a clear view of your AI costs? Sign up for CloudYali today and experience the benefits of full cloud cost visibility and control.
