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 now or your enterprise would be left behind.The bill is now due, and the CFO is paying attention. Gartner estimates AI infrastructure is adding $401 billion in new spending this year. Real-world audits tell a darker story: average GPU utilization in the enterprise is stuck at 5%. That utilization floor is driven by a self-reinforcing procurement loop that makes idle GPUs nearly impossible to release. What makes this shift more urgent is the CapEx reality now hitting enterprise balance sheets. Many organizations locked in GPU capacity under traditional three- to five-year depreciation cycles, [...]

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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 wh [...]

Match Score: 249.65

venturebeat
Cheaper tokens, bigger bills: The new math of AI infrastructure

Presented by NutanixAs enterprises move from AI experimentation into production deployment, the primary cost driver has shifted away from foundation model training and toward the infrastructure requir [...]

Match Score: 125.65

venturebeat
ScaleOps' new AI Infra Product slashes GPU costs for self-hosted enterprise LLMs by 50% for early adopters

ScaleOps has expanded its cloud resource management platform with a new product aimed at enterprises operating self-hosted large language models (LLMs) and GPU-based AI applications. The AI Infra Prod [...]

Match Score: 105.59

venturebeat
TrueFoundry launches TrueFailover to automatically reroute enterprise AI traffic during model outages

When OpenAI went down in December, one of TrueFoundry’s customers faced a crisis that had nothing to do with chatbots or content generation. The company uses large language models to help refill pre [...]

Match Score: 101.99

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: 86.64

venturebeat
The Agentic Reckoning: Enterprise AI organizations have a runtime problem, not a model problem — and most are building the wrong solution

In Q1 2026, VentureBeat's Pulse Research surfaced the “Governance Mirage”: the gap between the governance org charts enterprises had drawn and the control layers they had actually built. Fort [...]

Match Score: 81.36

venturebeat
Vercel rebuilt v0 to tackle the 90% problem: Connecting AI-generated code to existing production infrastructure, not prototypes

Before Claude Code wrote its first line of code, Vercel was already in the vibe coding space with its v0 service.The basic idea behind the original v0, which launched in 2024, was essentially to be ve [...]

Match Score: 71.38

venturebeat
Claude’s next enterprise battle is not models: it’s the agent control plane

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 [...]

Match Score: 69.93

venturebeat
Cerebras stock nearly doubles on day one as AI chipmaker hits $100 billion — what it means for AI infrastructure

Cerebras Systems, the Silicon Valley chipmaker that built the world's largest commercial AI processor, erupted onto the Nasdaq on Wednesday, opening at $350 per share — nearly double its $185 I [...]

Match Score: 69.10