Practice AI finds where AI companies' infrastructure money goes — idle GPUs, oversized clusters, list-price pricing, runaway logs — and makes it stop. Measured on your actual invoices, not slideware.
Two weeks. We baseline your last three months of cloud spend and deliver a prioritized savings roadmap with a dollar figure and effort estimate per item. Fixed fee from $8,000.
We execute the roadmap — priced on realized savings, so you pay a percentage of dollars that verifiably left the bill — or embed as your senior platform owner ~8 hrs/week.
Two days of hands-on training on your own stack: Kubernetes, GitOps, observability, ML inference, cloud cost for engineers. From $8,000.
Cloud is metered: waste removed is a smaller invoice next month, and every month after. We baseline before we touch anything, make the changes, and show the delta on your next invoices — normalized per unit (cost per inference, per training run, per customer) so growth doesn't hide it.
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