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.
Nvidia-backed GPU cloud Lambda is raising up to $4 billion at a $14.5 billion pre-money valuation in its last private round before a planned 2027 listing. We break down the $50 billion backlog, the Anthropic concentration, the debt behind the build-out, how Lambda compares with other neoclouds, and what it means for UK compute buyers.
GMI Cloud’s $668 million round is $223 million of Series B equity led by ARCHIV with NVIDIA participating, plus a $445 million credit facility led by CTBC. We explain why a GPU cloud borrows, compare the split with its 2024 Series A, read the revenue claims closely and place the company among the neoclouds.
GMI Cloud disclosed that its inference platform processes about 4 trillion tokens a week as it announced $668 million in new financing. We convert the figure into tokens per second and per year, compare it with Google, Fireworks and OpenRouter, show why customers overlap, and estimate what the volume could be worth.
Anthropic has committed $11.6 billion over seven years to Akamai’s cloud, with up to $9 billion more, and received a warrant for up to about 5% of Akamai at $111.33 a share. We break down the 8-K, the four-tranche warrant, why an AI lab is buying CPUs, and what the contract does to Akamai’s revenue, capex and risk.
Google’s first space data center is a refrigerator-sized satellite with four TPUs and about a kilowatt of solar power. This article sizes it against Google’s Ironwood pods, the GPUs Google rents on the ground and gigawatt campuses, works through the solar and radiator arithmetic of scaling up, and compares Starcloud and SpaceX Starmind.
Google will launch its first AI chips into orbit on 1 October 2026 under Project Suncatcher. This article explains the MVP satellite and its four TPUs, the launch, radiation and cooling tests, the laser-linked constellation planned for 2027, the $200 per kilogram economics, rivals Starcloud, SpaceX and Nvidia, the sceptics’ case and what it means for businesses.
Crusoe announced the initial closing of a $3.9 billion Series F at a $30.9 billion valuation on 17 September 2026, co-led by Atreides, Mubadala Capital and Valor. The money funds both Abilene-scale campuses and Spark, modular data centers built in Crusoe’s own factories and trucked to available power. We work through the numbers (a $27.0 billion pre-money, a 3.09-fold jump in ten months, one gigawatt running of six contracted), the new directors that point to an IPO, and three claims buyers should read carefully.
The Basel Action Network published The Coming AI Waste Wave on 15 September 2026, projecting 395 to 617 million tonnes of AI-driven electronic equipment retired between 2025 and 2050 — 15 to 23 million forty-foot shipping containers, or about six laps of the Earth end to end. The figure is roughly 40 to 60 times higher than the most widely cited academic projection, and the reason is scope rather than growth: every earlier study counted servers and accelerators, which are only 13 percent of a data center’s electro-mechanical mass. This article works through the 70,000 tonnes per gigawatt constant, the five equipment categories and their replacement cycles, the downstream AI Waste Contagion that turns out to be the larger half of the total, the arithmetic behind the container claim, and the report’s own arguments for why it might be wrong in either direction.
TypeSafe AI has left stealth with $40 million led by DCVC and Jev, a model that does not chat, write code or generate a single word of prose. Founded by InstructGPT co-author Diogo Almeida, it returns typed decisions with calibrated probabilities in 70 to 500 milliseconds, at $0.042 per million input tokens with output billed at nothing. The speed and cost claims survive outside testing; the accuracy question does not get a clean answer.
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