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<title>Starfield News</title>
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<description>Announcements, interviews and updates from Starfield Inc., the distributed AI infrastructure company.</description>
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<lastBuildDate>Thu, 29 Oct 2026 00:00:00 GMT</lastBuildDate>
<item>
<title>Compute is moving closer to power and demand: notes from eight weeks on the road</title>
<link>https://starfield.net/news/compute-closer-to-power-and-demand/</link>
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<pubDate>Thu, 29 Oct 2026 00:00:00 GMT</pubDate>
<description>What the NYSE and YOTTA told us about where AI inference is going: power is the constraint, inference wants to be close, and compute is becoming a market.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>Why we say &quot;distributed AI infrastructure&quot;</title>
<link>https://starfield.net/news/why-distributed-ai-infrastructure/</link>
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<pubDate>Thu, 29 Oct 2026 00:00:00 GMT</pubDate>
<description>Why we say &quot;distributed AI infrastructure&quot;: what the phrase means, what it does not mean, and why we prefer it to other labels.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>Why AI chips need so much cooling</title>
<link>https://starfield.net/news/why-ai-chips-need-cooling/</link>
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<pubDate>Wed, 28 Oct 2026 00:00:00 GMT</pubDate>
<description>Why AI chips need so much cooling: every watt of power becomes heat, where that heat goes, and why it shapes data center design.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>Why AI chips are hard to get</title>
<link>https://starfield.net/news/why-ai-chips-are-hard-to-get/</link>
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<pubDate>Tue, 27 Oct 2026 00:00:00 GMT</pubDate>
<description>Why AI chips are hard to get: a plain walk through why supply is tight, from factories and memory to power, buildings and long lead times.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>Where should AI inference run? Three things decide</title>
<link>https://starfield.net/news/latency-privacy-ownership/</link>
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<pubDate>Mon, 26 Oct 2026 00:00:00 GMT</pubDate>
<description>Where should AI inference run? Paweł Czech on Money Moves: latency, data privacy and ownership decide it, and why compute will have to go decentralized.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>Paweł Czech on Money Moves: why AI compute will go decentralized</title>
<link>https://starfield.net/news/money-moves-globalized-intelligence/</link>
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<pubDate>Mon, 26 Oct 2026 00:00:00 GMT</pubDate>
<description>Paweł Czech on Money Moves with Samantha Lewis and Ian Epstein: latency, data privacy and ownership decide where AI runs, and why compute will decentralize.</description>
<category>PODCAST</category>
</item>
<item>
<title>Stop buying the sun: right-sized AI capacity</title>
<link>https://starfield.net/news/stop-buying-the-sun/</link>
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<pubDate>Mon, 26 Oct 2026 00:00:00 GMT</pubDate>
<description>Paweł Czech on theCUBE: &quot;You don't have to power up the sun to cook something in the microwave.&quot; What right-sized AI capacity means, in one page.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>Paweł Czech and Cole Crawford on theCUBE at the NYSE</title>
<link>https://starfield.net/news/thecube-nyse-ai-factories/</link>
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<pubDate>Mon, 26 Oct 2026 00:00:00 GMT</pubDate>
<description>Starfield CEO Paweł Czech and Cole Crawford on theCUBE + NYSE Wired: why most AI buyers need the right capacity, close to them, at a fair price.</description>
<category>INTERVIEW</category>
</item>
<item>
<title>What is AI compute worth? Nobody knows</title>
<link>https://starfield.net/news/what-compute-is-worth/</link>
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<pubDate>Mon, 26 Oct 2026 00:00:00 GMT</pubDate>
<description>Why AI buyers pay a premium for compute, in Paweł Czech's words on theCUBE, and how Model Watch publishes dated list prices you can check.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>What a token is and why it sets your AI bill</title>
<link>https://starfield.net/news/what-is-a-token/</link>
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<pubDate>Mon, 26 Oct 2026 00:00:00 GMT</pubDate>
<description>What is a token in AI? A plain guide to the unit behind per-use AI pricing, with a simple illustrative example of how costs add up.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>What is a modular data center?</title>
<link>https://starfield.net/news/what-is-a-modular-data-center/</link>
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<pubDate>Sun, 25 Oct 2026 00:00:00 GMT</pubDate>
<description>A plain guide to modular data centers: factory-made units for AI capacity, what is inside a module, and how they change the time it takes to go live.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>When a smaller AI model is enough</title>
<link>https://starfield.net/news/smaller-ai-models/</link>
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<pubDate>Sat, 24 Oct 2026 00:00:00 GMT</pubDate>
<description>When is a smaller AI model enough? How matching model size to the task can lower cost and waiting time without hurting results.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>How to size your AI workload before you buy</title>
<link>https://starfield.net/news/size-ai-workload/</link>
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<pubDate>Fri, 23 Oct 2026 00:00:00 GMT</pubDate>
<description>A simple way to estimate requests, tokens and peaks before you buy AI capacity, so you can test any quote against your own use.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>Introducing Starfield AI infrastructure</title>
<link>https://starfield.net/news/introducing-starfield/</link>
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<pubDate>Thu, 22 Oct 2026 00:00:00 GMT</pubDate>
<description>Starfield AI infrastructure deploys standardized compute close to power, connectivity and demand, then connects it through one network for AI inference.</description>
<category>ANNOUNCEMENT</category>
</item>
<item>
<title>What it takes to run an open model yourself</title>
<link>https://starfield.net/news/running-open-models/</link>
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<pubDate>Thu, 22 Oct 2026 00:00:00 GMT</pubDate>
<description>What does it take to run an open AI model yourself? The hardware, people and monitoring involved, compared with paying per use.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>Data residency or data localisation?</title>
<link>https://starfield.net/news/residency-vs-localisation/</link>
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<pubDate>Wed, 21 Oct 2026 00:00:00 GMT</pubDate>
<description>Data residency vs data localisation: what each term usually means, how they differ, and examples a compliance team will recognise. Not legal advice.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>Rent, reserve or own: ways to get AI hardware</title>
<link>https://starfield.net/news/rent-reserve-or-own/</link>
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<pubDate>Tue, 20 Oct 2026 00:00:00 GMT</pubDate>
<description>Rent, reserve or own: the three common ways for a business to get AI hardware, and what each means for cost, control and commitment.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>Renewable power and AI: what a buyer can ask</title>
<link>https://starfield.net/news/renewable-power-questions/</link>
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<pubDate>Mon, 19 Oct 2026 00:00:00 GMT</pubDate>
<description>Renewable power and AI: how to ask an AI provider about its energy sources, what common claims mean, and which answers you can actually check.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>How to read an AI service's reliability promises</title>
<link>https://starfield.net/news/reading-reliability-promises/</link>
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<pubDate>Sun, 18 Oct 2026 00:00:00 GMT</pubDate>
<description>What an AI service's uptime statement covers, what it leaves out, and what to ask when the wording is vague.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>How to read an AI benchmark without being misled</title>
<link>https://starfield.net/news/reading-ai-benchmarks/</link>
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<pubDate>Sat, 17 Oct 2026 00:00:00 GMT</pubDate>
<description>How to read an AI benchmark: what model scores can and cannot tell a buyer, and the questions to ask before trusting a result.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>What an AI infrastructure operator does all day</title>
<link>https://starfield.net/news/operator-day/</link>
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<pubDate>Fri, 16 Oct 2026 00:00:00 GMT</pubDate>
<description>What an AI infrastructure operator does all day: power, cooling, monitoring and on-call work, explained plainly for readers outside data centres.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>Why the opening word of an AI answer is the slow one</title>
<link>https://starfield.net/news/opening-word-of-an-ai-answer/</link>
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<pubDate>Thu, 15 Oct 2026 00:00:00 GMT</pubDate>
<description>Why the opening word of an AI answer is the slow one: what happens between pressing enter and the answer starting, in everyday terms.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>Open-weight or paid AI models: what is the difference?</title>
<link>https://starfield.net/news/open-weight-vs-paid-models/</link>
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<pubDate>Wed, 14 Oct 2026 00:00:00 GMT</pubDate>
<description>Open-weight vs paid AI models: what &quot;open&quot; means for a model, what it does not mean, and how it changes who runs the hardware.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>On-site power for data centers, explained</title>
<link>https://starfield.net/news/on-site-power/</link>
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<pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
<description>On-site power for data centers explained: what generating power next to the site means, the main types, and the trade-offs AI buyers should know.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>Modular vs traditional data center: how to compare</title>
<link>https://starfield.net/news/modular-vs-traditional-data-center/</link>
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<pubDate>Mon, 12 Oct 2026 00:00:00 GMT</pubDate>
<description>Modular vs traditional data center: a plain side-by-side of build time, expansion and upkeep, and the questions that decide the choice.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>How AI services answer many people at once</title>
<link>https://starfield.net/news/many-people-at-once/</link>
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<pubDate>Sun, 11 Oct 2026 00:00:00 GMT</pubDate>
<description>How AI services answer many people at once: batching and queues in plain words, and why a busy hour feels different from a quiet one.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>Latency and throughput in AI, explained</title>
<link>https://starfield.net/news/latency-and-throughput/</link>
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<pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate>
<description>Latency and throughput in AI, explained in plain words: how fast one answer arrives versus how many answers a system can handle at once.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>Input tokens and output tokens: why prices differ</title>
<link>https://starfield.net/news/input-output-tokens/</link>
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<pubDate>Fri, 09 Oct 2026 00:00:00 GMT</pubDate>
<description>Input tokens vs output tokens: why AI providers charge more to write an answer than to read a prompt, and what it means for your costs.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>Why grid connections hold up AI data centers</title>
<link>https://starfield.net/news/grid-connection-queue/</link>
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<pubDate>Thu, 08 Oct 2026 00:00:00 GMT</pubDate>
<description>Why grid connections delay AI data centers: how the connection queue works, who waits in it, and why builders look for power that already exists.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>GPUs and CPUs: what AI needs from each</title>
<link>https://starfield.net/news/gpus-and-cpus/</link>
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<pubDate>Wed, 07 Oct 2026 00:00:00 GMT</pubDate>
<description>GPUs and CPUs explained for AI: why AI work leans on graphics chips, and what the ordinary processor still does in an AI system.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>What &quot;in development&quot; means for Fabric</title>
<link>https://starfield.net/news/fabric-in-development/</link>
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<pubDate>Tue, 06 Oct 2026 00:00:00 GMT</pubDate>
<description>What &quot;in development&quot; means for Fabric, our control plane: how we describe our status, and what readers can and cannot take from it.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>What can be done with a data center's waste heat</title>
<link>https://starfield.net/news/data-center-waste-heat/</link>
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<pubDate>Mon, 05 Oct 2026 00:00:00 GMT</pubDate>
<description>What can be done with a data center's waste heat? How it can warm buildings, greenhouses and industry, and where reuse works and where it does not.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>What a compliance team asks about AI</title>
<link>https://starfield.net/news/compliance-questions-ai/</link>
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<pubDate>Sun, 04 Oct 2026 00:00:00 GMT</pubDate>
<description>What a compliance team asks about AI: the records and answers auditors typically want, and how an AI provider can supply them. Not legal advice.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>How to choose an AI inference provider</title>
<link>https://starfield.net/news/choose-inference-provider/</link>
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<pubDate>Sat, 03 Oct 2026 00:00:00 GMT</pubDate>
<description>A plain checklist for choosing an AI inference provider: location, records, pricing terms and exit, in the order buyers meet them.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>Air cooling or liquid cooling for AI?</title>
<link>https://starfield.net/news/air-or-liquid-cooling-for-ai/</link>
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<pubDate>Fri, 02 Oct 2026 00:00:00 GMT</pubDate>
<description>Air cooling or liquid cooling for AI? What each method suits, how they differ, and why denser AI machines push data centers toward liquid.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>AI and data rules: where to look by region</title>
<link>https://starfield.net/news/ai-data-rules-by-region/</link>
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<pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
<description>AI and data rules by region: a plain starting map of the privacy, AI, sector and public-sector rules that affect where AI work can run. Not legal advice.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>Adding AI capacity one unit at a time</title>
<link>https://starfield.net/news/adding-ai-capacity-in-steps/</link>
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<pubDate>Wed, 30 Sep 2026 00:00:00 GMT</pubDate>
<description>Why growing AI capacity in steps suits demand that is hard to predict, and what each step asks of the site, its power and its operators.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>LLM API pricing: why we publish dated prices</title>
<link>https://starfield.net/news/why-we-publish-dated-prices/</link>
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<pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate>
<description>Why Model Watch publishes AI model list prices with the date they were read, how we read them, and how buyers can use dated prices to budget.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>Modular data center: why standard units matter</title>
<link>https://starfield.net/news/why-standard-units-matter/</link>
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<pubDate>Mon, 28 Sep 2026 00:00:00 GMT</pubDate>
<description>How building AI capacity from the same repeatable unit helps a site start sooner, and makes it easier to run, upgrade and replace.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>Why does AI use so much electricity? In plain words</title>
<link>https://starfield.net/news/why-ai-uses-so-much-electricity/</link>
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<pubDate>Sun, 27 Sep 2026 00:00:00 GMT</pubDate>
<description>What happens inside an AI request that draws real power, and why total AI electricity use keeps growing as more people use it. In plain words.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>AI inference cost: why one task gets different prices</title>
<link>https://starfield.net/news/why-ai-prices-differ/</link>
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<pubDate>Sat, 26 Sep 2026 00:00:00 GMT</pubDate>
<description>Why the same AI task costs different amounts: power, location, utilisation and commitment, and the questions to ask when comparing quotes.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>Data center outage: what happens when one site goes down</title>
<link>https://starfield.net/news/when-one-site-goes-down/</link>
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<pubDate>Fri, 25 Sep 2026 00:00:00 GMT</pubDate>
<description>How spreading AI capacity over several sites changes what an outage means for a customer, and the questions to ask before the bad day.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>What we will and won't claim here</title>
<link>https://starfield.net/news/what-we-will-and-wont-claim/</link>
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<pubDate>Thu, 24 Sep 2026 00:00:00 GMT</pubDate>
<description>How the News and Research sections handle numbers, sources, dates, quotes and corrections, and what readers can hold us to.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>Edge AI inference: what close to the user really means</title>
<link>https://starfield.net/news/what-close-to-the-user-means/</link>
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<pubDate>Wed, 23 Sep 2026 00:00:00 GMT</pubDate>
<description>&quot;Close to the user&quot; can mean on site, in the same city or in the same country. What each one solves, what it costs, and the questions that pin it down.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>AI data center power: what a megawatt buys you</title>
<link>https://starfield.net/news/what-a-megawatt-buys-you/</link>
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<pubDate>Tue, 22 Sep 2026 00:00:00 GMT</pubDate>
<description>From one megawatt of power to the AI work it can serve: where the power goes, what decides the output, and what buyers should ask. No chip detail.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>AI compliance audit trail: trust is a record, not a promise</title>
<link>https://starfield.net/news/trust-is-a-record/</link>
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<pubDate>Mon, 21 Sep 2026 00:00:00 GMT</pubDate>
<description>Why auditable delivery gives finance and compliance teams something to check instead of a sales claim: Commit, Place, Deliver.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>AI training vs inference: two different jobs</title>
<link>https://starfield.net/news/training-vs-inference/</link>
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<pubDate>Sun, 20 Sep 2026 00:00:00 GMT</pubDate>
<description>Training a model and using it every day need different kinds of capacity. A plain guide to AI training vs inference, and which one you are actually buying.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>Data processing location: stored here, processed there</title>
<link>https://starfield.net/news/stored-here-processed-there/</link>
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<pubDate>Sat, 19 Sep 2026 00:00:00 GMT</pubDate>
<description>Follow one document through an AI feature to see where it is stored, processed, logged and cached, and how to close the gap before an audit.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>Data center site selection: spare power is not usable power</title>
<link>https://starfield.net/news/spare-power-usable-power/</link>
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<pubDate>Fri, 18 Sep 2026 00:00:00 GMT</pubDate>
<description>Spare power is hard to find for AI, but a site still needs a usable connection, cooling, network links and people before it can serve.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>Cost per million tokens: how to read an AI price list</title>
<link>https://starfield.net/news/read-an-ai-price-list/</link>
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<pubDate>Thu, 17 Sep 2026 00:00:00 GMT</pubDate>
<description>A practical guide to comparing AI prices: per-token, per-hour and plan pricing, the small print that changes the total, and what to ask providers.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>AI data privacy checklist: questions before you send data</title>
<link>https://starfield.net/news/questions-before-sending-customer-data-to-ai/</link>
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<pubDate>Wed, 16 Sep 2026 00:00:00 GMT</pubDate>
<description>An AI data privacy checklist for sending customer data to an AI service: processing location, access, retention, training use and the evidence to ask for.</description>
<category>PERSPECTIVE</category>
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<item>
<title>Edge data center partners: where each one fits</title>
<link>https://starfield.net/news/partners-network-of-sites/</link>
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<pubDate>Tue, 15 Sep 2026 00:00:00 GMT</pubDate>
<description>For partners: where installers, utilities, facility operators, fibre providers and maintenance teams fit when many AI sites run as one network.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>AI infrastructure operators, not developers</title>
<link>https://starfield.net/news/operators-not-developers/</link>
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<pubDate>Mon, 14 Sep 2026 00:00:00 GMT</pubDate>
<description>Why Starfield AI infrastructure calls itself operators, not developers, and why the people who run power, sites and networks shape AI capacity.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>Edge data center vs hyperscale: many small or a few big?</title>
<link>https://starfield.net/news/many-small-sites-or-a-few-big-ones/</link>
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<pubDate>Sun, 13 Sep 2026 00:00:00 GMT</pubDate>
<description>Large AI campuses and small distributed sites suit different work. What each does well, where each struggles, and why a network can use both.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>Distributed AI: after the internet, intelligence is next</title>
<link>https://starfield.net/news/intelligence-is-next/</link>
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<pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate>
<description>The founders' view: how earlier networks reached everyone, why AI capacity is concentrating instead, and why compute will have to go decentralized.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>What is AI inference? Explained without the jargon</title>
<link>https://starfield.net/news/inference-explained/</link>
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<pubDate>Fri, 11 Sep 2026 00:00:00 GMT</pubDate>
<description>What AI inference is, why it is now the main way people meet AI, and why it needs capacity built for steady, local, everyday work.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>AI inference latency: how far your answer travels</title>
<link>https://starfield.net/news/how-far-your-ai-answer-travels/</link>
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<pubDate>Thu, 10 Sep 2026 00:00:00 GMT</pubDate>
<description>One AI request, step by step: out of your building, across the internet, through a queue and the model, and back. Where distance adds waiting time.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>Host a data center? What hosting AI capacity involves</title>
<link>https://starfield.net/news/hosting-ai-capacity-site-owners/</link>
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<pubDate>Wed, 09 Sep 2026 00:00:00 GMT</pubDate>
<description>For site owners: what hosting AI capacity involves, from space, power, cooling and network to access, permits and the agreements to expect.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>Hidden costs of AI capacity that aren't on the quote</title>
<link>https://starfield.net/news/hidden-costs-of-ai-capacity/</link>
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<pubDate>Tue, 08 Sep 2026 00:00:00 GMT</pubDate>
<description>Five costs around AI capacity that rarely appear on the quote, and the questions that bring them into view before you sign.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>Edge inference vs cloud inference: does location matter?</title>
<link>https://starfield.net/news/does-it-matter-where-ai-runs/</link>
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<pubDate>Mon, 07 Sep 2026 00:00:00 GMT</pubDate>
<description>Sort your AI workloads into three piles: where location barely matters, where it matters somewhat, and where it matters a lot. Four questions to sort them.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>Data residency for AI inference, in one page</title>
<link>https://starfield.net/news/data-residency-explained/</link>
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<pubDate>Sun, 06 Sep 2026 00:00:00 GMT</pubDate>
<description>Data residency for AI inference in plain words: what it covers, why rules and contracts ask for it, and why AI makes it harder to answer.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>AI workload scheduling: a control tower for AI work</title>
<link>https://starfield.net/news/control-tower-for-ai-work/</link>
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<pubDate>Sat, 05 Sep 2026 00:00:00 GMT</pubDate>
<description>What a traffic controller for distributed AI inference would do: pick a site for each request by policy, meter the work and keep a delivery record.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>Edge data center: can a small town host AI capacity?</title>
<link>https://starfield.net/news/can-a-small-town-host-ai-capacity/</link>
<guid isPermaLink="true">https://starfield.net/news/can-a-small-town-host-ai-capacity/</guid>
<pubDate>Fri, 04 Sep 2026 00:00:00 GMT</pubDate>
<description>What a local AI site needs, what it can offer a community, and the questions a town should ask before saying yes.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>How to buy AI compute: eight questions to ask</title>
<link>https://starfield.net/news/buying-ai-capacity-questions/</link>
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<pubDate>Thu, 03 Sep 2026 00:00:00 GMT</pubDate>
<description>A buyer's guide to AI capacity: what to ask any provider about location, records, pricing units, outages, models, data and exit terms.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>AI infrastructure glossary: cloud, edge and in between</title>
<link>https://starfield.net/news/ai-infrastructure-glossary/</link>
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<pubDate>Wed, 02 Sep 2026 00:00:00 GMT</pubDate>
<description>A buyer's glossary of AI infrastructure terms: cloud, edge, inference, tokens, latency, residency, reserved capacity and delivery records.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>Data center grid connection: why AI capacity follows power</title>
<link>https://starfield.net/news/ai-capacity-follows-power/</link>
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<pubDate>Tue, 01 Sep 2026 00:00:00 GMT</pubDate>
<description>Why the wait for grid connections is pushing AI capacity toward places with power already available, and why inference fits that map.</description>
<category>PERSPECTIVE</category>
</item>
<item>
<title>AI audit trail: a receipt for AI work</title>
<link>https://starfield.net/news/a-receipt-for-ai-work/</link>
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<pubDate>Mon, 31 Aug 2026 00:00:00 GMT</pubDate>
<description>Why AI buyers should be able to see what was delivered, where and when, and what a useful record of AI work looks like.</description>
<category>PERSPECTIVE</category>
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