Nebius

neoclouds enterprises that need them a food truck with an open serving hatch

Neoclouds and the Enterprises That Need Them

InfoWorld’s David Linthicum argues that neocloud providers are the fastest-growing cloud category on record but are failing to explain themselves to enterprise architects. We check the Synergy and ABI Research numbers behind the claim, read CoreWeave’s latest quarter for evidence of enterprise demand, map where GPU clouds fit beside hyperscalers and MSPs, and give buyers a risk register and an evaluation checklist.

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Microsoft-Backed AI Data Center Accused of Violating Federal Law

A thermal drone flown by Floodlight and The Guardian counted at least 45 of 62 gas generators running at once on the DataOne AI campus in Vineland, New Jersey, and the state says it has issued no permits for any of them. A former EPA air enforcement chief says that violates federal law. This breakdown separates what was observed from what has been found, untangles the three companies behind the “Microsoft-backed” label, explains which part of the Clean Air Act is actually in question, sets the case beside the near-identical xAI turbine dispute in Memphis, and draws out what it means for any business buying AI compute.

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Surprise: Z.ai Is the AI Lab Behind the Mysterious Ox Alpha Model

On 26 August 2026 the mystery ended: Z.ai, the Beijing lab formerly known as Zhipu AI, confirmed that the anonymous Ox Alpha model topping OpenRouter and OpenCode was the newest iteration of its GLM series, and published the weights the same evening as GLM-5.3-Flash under an MIT licence. This breakdown covers what was confirmed and when, the architecture the model card revealed — 320 billion total parameters with just 18 billion active, hybrid sparse and linear attention, a 1,048,576-token context and forced reasoning that cannot be disabled — the published benchmark table showing 84.3 on Terminal Bench 2.1 against 85.0 for Claude Opus 4.8 and 87.4 for GPT-5.6 Terra, the viral 80 per cent DeepSWE claim that came from a 10-task subset and collapsed to 63.4 on the full 113-task run, the 44 trillion tokens and 503,000 users the stealth week generated, the tokenizer and error-code forensics that unmasked the lab before it spoke, the $0.15 and $0.50 per million token pricing, the company’s Hong Kong listing and US entity-list status, and a buyer’s checklist for deciding between the hosted API and self-hosted weights.

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