venturebeat
FOMO is why enterprises pay for GPUs they don't use — and why prices keep climbing

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 [...]

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venturebeat
The AI compute gap: Enterprises are buying infrastructure faster than they can measure what it costs

Across 107 enterprises, AI infrastructure spending is accelerating well ahead of the ability to see or steer its economics. Most organizations run their AI on a familiar base of hyperscalers and model [...]

Match Score: 137.07

Destination
Engadget Podcast: iPhone 16e review and Amazon's AI-powered Alexa+

The keyword for the iPhone 16e seems to be "compromise." In this episode, Devindra chats with Cherlynn about her iPhone 16e review and try to figure out who this phone is actually for. Also, [...]

Match Score: 134.55

venturebeat
The agent security gap: 54% of enterprises have already had an AI agent incident, and most still let agents share credentials

Across 107 enterprises, AI agents are being given real access to systems and data while the controls meant to contain them lag behind. More than half have already had a confirmed agent security incide [...]

Match Score: 101.79

venturebeat
Wall Street is debating the AI buildout. Enterprises just answered: 86% say their GPUs run at half capacity or less

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 [...]

Match Score: 100.57

venturebeat
The AI context gap: Enterprise AI organizations have a trust problem, not a retrieval problem — and most are still building the fix

Across 101 enterprises, the infrastructure that feeds AI agents their business context is being built faster than it can be trusted. Retrieval-augmented generation is already the default context sourc [...]

Match Score: 98.68

venturebeat
Agentic orchestration: Enterprise AI organizations have a deployment problem, not a platform problem — and most are calling chatbots agents

Across 101 enterprises, agent orchestration is consolidating onto model-provider platforms — Anthropic’s Claude leads by a wide margin — chosen for the gravity of the underlying model and judged [...]

Match Score: 93.03

Destination
How to buy a GPU in 2025

One of the trickiest parts of any new computer build or upgrade is finding the right video card. In a gaming PC, the GPU is easily the most important component, and you can hamstring your experience b [...]

Match Score: 87.44

venturebeat
5% GPU utilization: The $401 billion AI infrastructure problem enterprises can't keep ignoring

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 [...]

Match Score: 83.91

venturebeat
The agent evaluation gap: Enterprise AI organizations have a reality-alignment problem, not a coverage problem — and most are shipping to production anyway

Across 157 enterprises, organizations are granting AI agents more autonomy while trusting the evaluations meant to gate that autonomy less. Half have already shipped an agent that passed their interna [...]

Match Score: 74.70