Azure OpenAI

Azure OpenAI LLM Cost Management & Spend Observability

Azure OpenAI Service gives enterprises access to GPT-4, GPT-4o, and other OpenAI models billed through Microsoft Azure. For organizations already managing Azure infrastructure costs, Azure OpenAI introduces a new and fast-growing cost dimension that compounds existing cloud spend. Aquila Clouds unifies Azure OpenAI model costs with broader Azure infrastructure spend, giving FinOps teams a single, complete view of all Microsoft cloud and AI expenditure.

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Unify Azure Cloud and Azure OpenAI LLM Costs

  1. Unified visibility across Azure infrastructure and Azure OpenAI service costs
  2. Granular token-level cost attribution by subscription, team, and deployment
  3. Accurate chargeback and showback to business units using Azure OpenAI
  4. Proactive governance before Azure OpenAI costs impact Azure budgets and commitments
  5. Improved forecasting accuracy for AI-enabled Microsoft cloud investments
  6. Executive-level Azure and Azure OpenAI spend reporting through Agent Sherlock

What Enterprises Achieve with Azure OpenAI Cost Visibility

  • Per-deployment cost tracking across Azure OpenAI models: GPT-4o, GPT-4, GPT-3.5 Turbo, Embeddings, DALL-E
  • Unified visibility across Azure infrastructure and Azure OpenAI token consumption costs
  • Token-level usage breakdown by subscription, resource group, team, and environment
  • Cost allocation and chargeback for Azure OpenAI usage to departments and business units
  • Budget thresholds and alerts for Azure OpenAI spend by deployment and team
  • Spend forecasting based on Azure OpenAI token consumption trends
  • Agent Sherlock conversational queries spanning Azure infrastructure and OpenAI model costs

Expected Outcomes

Unified Azure and Azure OpenAI cost visibility

Organizations managing Azure at scale typically see Azure OpenAI charges appearing as a new and growing line in their Azure billing but without the deployment-level and team-level granularity to drive accountability. Aquila Clouds maps every Azure OpenAI token to a subscription, resource group, team, or application embedding AI cost visibility directly into the Azure FinOps workflow.

Granular token-level cost attribution

Azure OpenAI deployments span multiple models, versions, and use cases each with different token pricing and consumption patterns. Aquila Clouds breaks down costs at the deployment, model, and team level, enabling FinOps and engineering leaders to optimize model selection and usage patterns to improve cost efficiency.

Proactive governance before Azure OpenAI costs impact Azure budgets

Azure OpenAI usage can escalate rapidly as more teams integrate GPT-4 and other models into applications and workflows. Aquila Clouds enables FinOps teams to set Azure OpenAI-specific budget thresholds by subscription or team, with automated alerts ensuring AI model costs are governed as proactively as compute and storage spend.

Azure OpenAI is now part of your Azure cost estate.
Govern it accordingly.

As enterprises embed GPT-4 and Azure OpenAI into core business processes, AI token costs become a permanent fixture of the Azure cost structure. Aquila Clouds gives you the unified observability to govern Azure infrastructure and Azure OpenAI spend from one platform without silos, blind spots, or billing surprises.

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