FinOps for AI and GenAI Workloads: Controlling GPU and Token Spend Without Slowing Teams Audience:  CTOs, engineering leaders, platform teams, finance partners, and anyone accountable for AI spend and delivery speed. AI costs behave differently from traditional cloud spend. With GenAI, cost can spike from two places at once: GPUs for training or batch inference, and tokens for model inference and tool calls. The biggest mistake is treating AI costs like a monthly surprise rather than a system...

Building an Internal Developer Platform That Engineers Actually Use Audience:  CTOs, engineering leaders, platform teams, and architects building a scalable delivery system without slowing product teams. An internal developer platform (IDP) is only successful if engineers choose it on purpose. If teams route around it, the platform becomes an expensive catalog nobody trusts. The difference usually comes down to four things: clear scope, a small set of “golden paths,” ruthless reduction of...

For federal Chief Technology Officers (CTOs), few challenges are as urgent as defending against nation-state cyber threats . These...