Latest articles
Bedrock vs. Vertex vs. Azure Cognitive: a FinOps comparison for AI spend
Everyone is shipping LLM features. Then month-end hits and someone asks the only question that matters: can ...
From Invisible to Actionable (and Affordable): A Lean Playbook for AI Cost Visibility & Control
AI spend crept up on a lot of engineering‑led teams this year. It didn’t look like classic cloud growth: a ...
The New Economics of AI: Balancing Training Costs and Inference Spend
For years, the AI conversation was all about “Can we build it?” Now the question is, “Can we afford to run ...
What You Need to Know About Generative AI Cost Attribution in AWS, Azure, and GCP
As generative AI adoption surges across industries, a quiet but expensive challenge is forming: understanding ...
Beyond GPUs and API Calls: Understanding the True Cost of AI Initiatives
When organizations begin their journey into AI, the first costs they typically recognize are ...
The Hidden Superpower of Bedrock Cost Allocation — and Its Limits
You’ve signed the Bedrock contracts. The models are running. And now you’re staring at your AWS CUR ...
Why Oracle Cloud (OCI) Might Be the Most FinOps-Friendly Cloud for AI Workloads
When most people think “cloud,” they default to the big three: AWS, Azure, and GCP. Fair enough—those three ...
The Hidden Challenges of Cost Attribution for GCP Vertex AI – And How to Solve Them
Google Cloud's Vertex AI is powering incredible innovation—but for FinOps teams, this comes with significant ...
The Hidden Superpower of Bedrock Cost Allocation: Application Inference Profiles
As seen in Asaf's LinkedIn article
What Is Cloud Computing? 4 Service Models, Origins, Pros & Cons
What Is Cloud Computing? Cloud computing refers to delivering computing services like computing power, ...

