The State Of AI Costs In 2025
AWS Batch On EKS: Streamlining Containerized Workloads
Is AWS Batch on EKS really the best way to run ML and container workloads? See how it works and how to control costs.
Smarter AI Cost Optimization With Guardrails That Scale
AI innovation is moving fast, and so are the costs. Here, we show how to build flexible, scalable AI cost guardrails that keep budgets in check without blocking progress.
How To Reduce Cloud Costs in 2026: Proven Strategies That Actually Work
Learn proven strategies to reduce cloud costs in 2026, from rightsizing and commitment management to unit economics and AI spend. Backed by real customer savings data.
Inference Cost Explained: How to Reduce LLM & AI Inference Spend
What is inference cost? Learn how LLM and AI inference cost work, what drives them up at scale, and 8 proven strategies to reduce your AI inference spend without slowing down your team.
The SaaS Paradox: Why Companies Must Spend More On AI To Survive
At SaaS Metrics Palooza 2025, CloudZero CEO Phil Pergola made a bold case: AI won’t kill SaaS — but it will rewrite its economics. In a world where every AI interaction has a real cost, survival hinges on margin clarity, cost per outcome, and daily visibility. Phil outlined eight imperatives SaaS leaders must embrace to build profitability and confidence in the age of AI.
AI Cost Management: How To Track, Allocate And Optimize AI Spend
AI cost management starts with visibility. Learn how to track AI spending, allocate costs by team, and optimize AI cost efficiency — before budgets spiral.
Jensen Huang’s warning: lead the AI transition — or finance it
Most organizations heard Jensen Huang's AI comments and got lost in a compensation debate. That's the wrong read. Huang was asking a harder question — one most organizations still can't answer: is your AI spend producing outcomes, or just invoices?
Homepage (2026) – AI
How A Finance Director Found $30K/Month In AI Savings In 10 Minutes
AI costs were climbing on the monthly P&L, and the only visibility came from manually copying a credit card statement into a spreadsheet. Ten minutes of prompting later, the root cause was found, the culprit identified, and the savings modeled.