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How It Works
A private equity firm typically owns multiple portfolio companies, each running workloads on AWS, Azure, or GCP. These companies often operate independently, which means each one pays on-demand rates, duplicates tooling, and misses the discount leverage that comes from aggregated cloud spend. PE-focused cloud optimization addresses this by establishing a shared cost management layer across the portfolio. This involves enrolling portfolio companies in commitment-based discount programs, including AWS Reserved Instances (up to 72% off on-demand), AWS Compute Savings Plans (up to 66%), Azure Reservations (up to 72%), Azure Savings Plans (up to 65%), and GCP Committed Use Discounts (up to 57%). It also involves standardizing cost allocation, showback reporting, and governance policies so finance teams can track and benchmark cloud efficiency across every holding.
Why It Matters for Cloud Cost
For a PE firm, cloud infrastructure is often one of the largest and most controllable operating cost lines across a technology-heavy portfolio. Each portfolio company that runs on unoptimized on-demand pricing represents margin leakage that compounds over a hold period. A company spending $2M per year on cloud compute and leaving 40% savings on the table costs the portfolio roughly $800K annually in avoidable waste. Multiplied across five or ten portfolio companies, the aggregate impact becomes material at the fund level. Beyond individual savings, standardizing cloud cost governance before exit improves EBITDA presentation and signals operational maturity to acquirers.
Usage AI’s Autopilot mode autonomously manages cloud cost commitments across AWS, GCP, and Azure, making it practical to deploy consistent savings coverage across multiple portfolio companies without requiring deep cloud expertise at each one.