Solutions

AI Workflows in Vantage. Optimize your AI infrastructure.

AI workloads are expensive and complex, and most cloud cost tools aren’t built to handle them. Vantage helps you accurately track these costs and connect that data to AI agents to make insights accessible.

  • Square
  • Alfac
  • PBS
  • Fanduel
  • Planet Scale
  • Barstool Sports
  • CircleCI
  • Vercel
  • Ripple
  • Boomi
  • Rippling
  • Square
  • Joybird
  • Starburst

The Challenge and Our Solution

Managing AI infrastructure is expensive and opaque. Vantage gives you visibility into your AI workflow costs and integrates with the AI agents you already use to help you stay ahead of spend.

  • Your challenge

    Cloud cost tools can’t handle complex infrastructure

    Most cloud cost tools weren’t built to monitor the complexity of AI infrastructure. They can’t break down training costs by model or job or miss important metrics, like GPU usage in Kubernetes. They also don’t integrate with AI agents, causing your team to have to do additional manual cost analyses.

  • How Vantage helps

    Monitors and integrates with your existing AI workflows

    Vantage lets you create virtual tags to observe AI workloads by model or team, tracks GPU usage in your Kubernetes clusters, and integrates with tools like Claude and Cursor via MCP so that you can surface insights and quickly act on them. Monitor your AI workloads, and let your AI agents do the analysis for you.

AI-Driven Cost Analysis

Vantage not only monitors your AI workflows and costs, it provides the tools needed to integrate directly with AI agents and dig deeper into your cost data.

  • Optimize AI costs. View costs associated with each AI model used, helping identify resource-intensive models, whether you're using Amazon Bedrock, Google Gemini, or Azure OpenAI.

  • Connect AI agents with contextual cost data. Use Vantage’s MCP to let LLMs query cost insights with the right context. Prompt an agent to identify high-spend models in your cost data.

  • Calculate efficiency for AI-intensive workloads. Identify underutilized AI workloads and analyze Kubernetes GPU memory usage alongside CPU and RAM.

Company Spotlight

Vantage is helping to drive Extend’s strategic growth. With clear insights into optimized cloud resources, Extend is working to lead the future of AI-driven post-purchase automation.

Extend

Adoption of Vantage exceeded our expectations. Engineers genuinely want to see the impact of their optimizations, and Vantage provides them with the tools to do so in real time

Rami Leshem VP of Platform Engineering, Extend

Why Vantage?

Vantage powers cloud cost optimization trusted by Block, FanDuel, and PlanetScale.

  • 20+

    integrations supported

    Support for wherever you are running your AI workloads, including AWS, Azure, and GCP.

  • 5+

    hours saved weekly

    Allow your organization to analyze cost data through AI integrations and Large Language Models, like ChatGPT and Claude.

  • 100K+

    Terraform downloads

    Trusted by teams to automate and standardize cloud environments, foundational for scaling AI workloads with confidence.

Ready to optimize your AI workflows?

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Explore how Vantage helps you control AI costs and manage your complex infrastructure.