Azure OpenAI
LLM Cost Management & Model 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.
Unify Azure Cloud and Azure OpenAI LLM Costs
What teams can achieve with Andromeda on Azure OpenAI
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
Azure OpenAI Use Cases & Value
How AquilaClouds Andromeda™ supports Azure OpenAI
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. Andromeda 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. Andromeda 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. Andromeda 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.