FinOps for AI: a practical guide to managing AI cloud costs
AI has crossed the threshold from speculative R&D to the operational engine of the modern enterprise. Engineering teams deploy autonomous agents to handle complex customer workflows; product squads embed foundation model APIs directly into flagship software; and business units independently license AI-powered SaaS platforms to streamline daily work. What began as a series of isolated experiments…
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AI cost management: How to build a business case for executives
Stop guessing. Start governing. Your CFO doesn’t want a demo, they want a defensible business case. Here’s the 7-step checklist that builds one. Define your addressable AI spend: Inventory AI costs across model APIs, cloud GPUs, vector databases, AI software licences, agents, users and infrastructure Identify optimization opportunities: Evaluate model rightsizing, prompt caching, agent…
The AI cost reckoning: Why token bills are becoming the new cloud bill
Key findings AI’s biggest challenge is shifting from adoption to accountability as costs spread across tokens, cloud, SaaS and software Most organizations lack the visibility needed to effectively govern and optimize AI spending FinOps, ITAM and SaaS management must converge to provide a complete view of AI costs and business value According to the EY’s AI Pulse Survey Results: Wave 5, 98% of…
What impact does AI have on cloud and data cloud spend?
Ask your FinOps team or anyone in finance what has hit the budget hardest this year and the answer is likely to be the same: AI. AI’s impact on cloud spend and data cloud spend isn’t a five-year-out projection anymore. It’s already sitting on this month’s invoice. Gartner puts worldwide AI spending at $2.59 trillion in 2026, up 47% from the year before. AI infrastructure alone is forecast at…
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Your AI Strategy Depends on Partners; Here’s How to Find Them
The next phase of enterprise AI will not be built inside one provider’s platform. Models, accelerated compute, enterprise data, storage and network services increasingly…
When AI becomes an asset, not an expense
September 24, 2026 – Conversations about AI costs often begin with token prices and access to the latest cloud models. Those factors matter, but they can obscure the larger question: as AI moves into production, how can enterprises meet growing demand economically, predictably, and at scale? The issue becomes more urgent as demand grows steady and business-critical. A consumption-only approach…
HPE named a Leader in 2026 Gartner® Magic Quadrant™ for Infrastructure Platform Consumption Services
HOUSTON – September 23, 2026 – HPE (NYSE: HPE) today announced it was named a Leader in the 2026 Gartner® Magic Quadrant™ for Infrastructure Platform Consumption Services for the second consecutive year. Over the past year, HPE has advanced GreenLake with agentic AIOps and unified cloud operations software that simplifies managing and optimizing enterprise AI factories and IT infrastructure. “AI…
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