Resources & Knowledge Base

Stay on top of the latest thinking in cloud financial operations and AI cost management. We’ve gathered some of the most authoritative guides, articles and reports below.

Featured Guides & Articles

FinOps Phases Explained

The FinOps Foundation describes the FinOps lifecycle in three phases: Inform, Optimize and Operate. Learn how to apply these principles to your cloud and ML programmes.

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Driving Cost Efficiency in AI Pipelines

The FinOps Foundation dives deep into GPU over‑provisioning, idle time and data storage bottlenecks in deep learning pipelines【64704301150421†L160-L170】【64704301150421†L191-L212】. It also offers tips such as using optimal data formats and compression to reduce storage and transfer costs【64704301150421†L200-L210】.

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2026 FinOps Tools Landscape

A survey of leading FinOps and cloud cost management tools reveals that 30–35% of spend is wasted on idle resources. Compare features, pricing and use cases across the market.

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FinOps Priorities & Waste Reduction

This article explores findings from the State of FinOps surveys and interviews, noting that workload optimisation and waste reduction are consistently ranked as the top priority for practitioners【431925323946298†L82-L115】. It discusses barriers and cultural factors that hinder cost optimisation and provides guidance for successful adoption.

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AI Budget Breakdown

See how a typical AI budget is split between training, data ingestion, preprocessing and deployment. Spoiler: training often consumes 80% of the total cost.

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FinOps Glossary

New to FinOps? This glossary covers key terms like unit economics, chargeback, showback, savings plans, commitments and more.

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GPU Sharing & MIG

Explore how GPU time‑slicing and NVIDIA’s Multi‑Instance GPU (MIG) technology boost utilisation and reduce costs. Time‑slicing can run multiple inference jobs on a single GPU and deliver up to 90% cost savings, while MIG partitions a GPU into isolated instances to run up to seven workloads【164117429400888†L134-L149】【164117429400888†L140-L197】.

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Multi‑Cloud FinOps

Managing AI spend across multiple cloud providers introduces unique challenges. Providers have different pricing models, billing exports and tagging conventions, making unified cost management hard【265498857832249†L110-L130】. This guide from ProsperOps outlines practices and mindsets to build a consistent FinOps framework across clouds【265498857832249†L110-L134】.

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