Data Center Fallacy
America does not need data centers to advance A.I.
Data centers are required because legacy software companies – Oracle, Amazon and others, use 1980s obsolete technology which requires data centers. The current tech stack, used by most software firms, ignores 40 years of advanced chip design – never optimizing their software for the incredible chip improvements. All that speed was lost.
Fractal customers and our demonstration projects prove there is no application, anywhere on the planet today, that cannot be run without a data center. Not only can any application be run without a data center, it will run 1,000 to a million times faster, at a fraction of the cost, and use less electricity than a kitchen microwave oven.
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Repost of Frank DaSilva article with permission – you should subscribe to his site. Beyond the Cloud: Why the Future of AI Is Smaller, Local, and Sovereign AI does not need hyperscale. It needs better architecture. Smaller systems, local intelligence, sovereign futures. Frank Da Silva Dec 23, 2025 Re-architecting intelligence for Terra 2.0 For years, the dominant story around artificial...
While the tech world hovers between whether A.I. is the biggest bubble since the Holland Tulip Bulbs or a few Tech Bro Billionaires owning the planet, we thought a different point of view would be refreshing. We believe artificial intelligence will diffuse to everyone – or about everyone who wants or needs it – A.I. will be democratized. We believe...
When those county commissioners sold you and your friends on that great big shopping mall in your area, the picture they showed you looked something like this: What they did not foresee, and neither did you – was at the very time investor groups were funding a 2 year mall construction, there was a massive, although subtle technology shift happening....
America does not need data centers, period. Government officials do. Obsolete technology like Oracle andd Palantir need data centers because they have not kept up with chip design. We prove that every day, moving applications that require an entire data center to a 4-inch x 4-inch computer and run them 1,000 times faster. Fractal ran the equivalent of a dozen...
This week, another article came from a Washington DC think tank – that China is going to out-compute America – with catastrophic results. https://www.foxnews.com/us/ai-technology-race-new-cold-war-between-us-china-could-have-devastating-consequences-report America will have to adapt all its technology to Chinese-set standards. The Chinese will flood the market with cheap A.I. systems driving U.S. companies out of business. Autonomous weapons – like drone swarms – where the...
Edge computing never took off the way it was predicted. The problem is scale – you cannot put a data center where the data resides when data resides – everywhere. Edges are everywhere – about everything now has a data collecting edge – and there is no way hardware guys are going to put data centers – even little ones...
The largest fallacy since the Tulip Bulb Market Bubble is the nonsense that the world needs data centers – hundreds more – to power artificial intelligence applications. What makes this data center fallacy more egregious – and dangerous – is millions of acres of farmland will be torn asunder, electric bills needlessly raised for years – before the first such...
Just when Elon Musk announces he is building the world’s largest supercomputer – solving mankind’s most vexing problems, Apple delivers a supercomputer literally THOUSANDS of times more powerful, requires no water to cool (Elon’s Colossus needs lakes) and runs on batteries – (Elon’s uses more power than a big chunk of Memphis). Apple’s CEO, Tim Cook said in the Jan...
As our team presented the future of battlefield computing to a group of war fighters at 7:00 AM, they had to take a break because the mother of all centralized computing paradigms went down. Amazon crashed a data center and everything from banks in Europe to Disneyworld went down – many people learned painfully the service to which they subscribed...
If you are following the A.I. story, peeking through the hype is the realization A.I. is not paying off – is not close to paying off – 95% of the projects are a loss. MIT says 95%: https://www.axios.com/2025/08/21/ai-wall-street-big-tech Cost constraints are choking A.I. development. Some wags say build more data centers and eventually costs will fall. Those would be the...