CloudKeeper launches Full Stack FinOps platform for AI cost management

CloudKeeper has announced the launch of Full Stack FinOps for AI, a platform designed to help businesses track and optimize expenditures related to artificial intelligence. The platform provides a unified dashboard to monitor costs across various categories, including AI inference, model usage, software licenses, and cloud infrastructure.

Key features of the platform include token usage analytics, GPU utilization tracking, and a multi-cloud dashboard that consolidates data from AWS, Microsoft Azure, and Google Cloud. The system also supports the Model Context Protocol (MCP), enabling businesses to integrate their own large language models (LLMs) to receive cost insights and recommendations directly within existing workflows.

As organizations transition AI from experimentation to large-scale operations, managing costs becomes increasingly complex due to variables such as request volume, model choice, and multi-agent system orchestration. FinOps strategies for AI focus on establishing cost visibility, setting usage limits, and implementing model routing to balance task quality with cost requirements.