Enterprises can't fix their GPU waste problem because the fix makes the problem worse. Releasing idle capacity would improve utilization, but the same shortage driving GPU prices up is exactly why no team will give capacity back. So the fleet sits at roughly 5%, billed by the hour, and the cycle tightens.That pressure — repeated across thousands of enterprises over the past two years — is the reason most companies are now running their GPU fleets at roughly 5% utilization, according to Cast AI's 2026 State of Kubernetes Optimization Report, which measured actual production clusters rather than surveying them. It's also the reason nobody releases the idle capacity. Cast AI co-founder and President Laurent Gil has been tracking the dynamic for two years. “Many of the neo [...]
Enterprise companies are running AI agents ahead of the controls needed to manage them — and they deployed that way knowingly. That is the central finding from VentureBeat Research's June surve [...]
For the last 24 months, one narrative justified every over-provisioned data center and bloated IT budget: the GPU scramble. Silicon was the new oil, and H100s traded like contraband. Reserve capacity [...]
Two-thirds of enterprises have hedged their AI model strategy, and the past few weeks of controversy around Anthropic’s Claude Fable 5 model showed why that posture has gone mainstream. On June 12, [...]
New VB Pulse data shows Microsoft and OpenAI leading enterprise agent orchestration, but Anthropic’s first measurable foothold points to a larger fight over who controls the infrastructure where AI [...]
Anthropic released Claude Haiku 4.5 on Wednesday, a smaller and significantly cheaper artificial intelligence model that matches the coding capabilities of systems that were considered cutting-edge ju [...]