OpenAI is preparing to rename one of its most unpopular assets: its data centers. The new term, “AI compute campuses,” is the centerpiece of a post-midterm PR blitz described by chief global affairs officer Chris Lehane — and it may be the cheapest billion-dollar line item in the entire AI infrastructure build-out. This is the […]
Bengaluru startup Simplismart has raised a $14 million Series B led by Dallas Venture Capital, with Nvidia, Accel, Shastra VC and Micromax taking part. We explain what its inference software does, the InVideo 56% cost claim, its 14-fold revenue growth, the Dynamo tie-up and why Nvidia would back software that uses fewer GPUs.
Model routing, semantic caching, prompt caching, reranking and response constraints are the five keys InfoWorld names for controlling AI token costs. We price each one at October 2026 list rates from Anthropic, OpenAI and Google, flag what changed in prompt caching, and work through a support-bot example that takes a modelled $62,800 monthly bill to about $7,213.
AI token cost is the number almost every team gets wrong on the first attempt, and it is the number that decides whether an AI feature ships or quietly gets shelved. A prototype that costs a few pence per request feels free. The same prototype, wired into a product with twenty thousand users a month, […]
FinOps for AI has moved from a niche discipline to the single biggest cost-control question facing technology leaders, and most organisations are discovering it the hard way — through an invoice nobody forecast. A large language model that costs pennies per request in a pilot becomes a six-figure annual line item once it is embedded […]
Liquid cooling failures in AI data centers escalate in seconds, not minutes. Here are the six root causes, the real costs, and the controls that prevent them.
A modular data center approach compresses AI build timelines from years to months. Here is where the savings come from, and why grid power is still the real constraint.
HVAC reference designs let cooling OEMs skip years of AI data center engineering. Here is what they contain, what they de-risk, and where they fall short.
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