Sustainable Computing
Companies around the world tout their “green” initiatives, fight for leadership in ESG – yet continue to build massive, energy-consuming data centers destroying farmland, using 450,000 gallons of water for cooling and wasting the electricity of a town of 25,000.
Sustainable computing is here – through the optimization of I/O – input/output – eliminating the need for data centers.
The Fractal team is educating the industry on how to take ANY corporate application, move it to Fractal in a quarter or less, it will run 1,000 times faster, at 1/10 th the cost – WITHOUT A DATA CENTER.
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- Data Center Fallacy
- Quantum Speeds – Current Hardware
- Sustainable Computing
- The I/O Paradox
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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....
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...
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...
This week the ongoing battle between the massive centralized data center team and the distributed, compute where the data is team – took an historic turn. NVIDIA stepped up – going all in on classical economist Adam Smith – specialization is better than dreaming – get to work building Small Language Models. Most A.I. agents do not need Large Language Models – says NVIDIA. A.I. agent problems...
It is estimated that over 60% of the work every data center or cloud performs is managing legacy applications – often ones where the developer is long gone, the source code may be lost and the system is terribly expensive to keep going. Now, a Fractal Digital Twin can be built in 90 days or less, never touching the legacy...
LLMs Are About Scale – And Data Centers Do Not Scale – Period. Data centers are going to become stranded assets – boats in a desert, because software efficiency is finally catching up with chip design. A.I., if you believe the tech press, is all about who has the largest LLM – large language model. Lot of “larges” in that...
Oracle needs data centers Who said the 1980s relational model is optimal for A.I.? Who said the relational model fits most current business and government applications? Well, nobody – but since about everyone uses relational database, there is this legacy movement to make legacy and A.I. a thing. They aren’t. A.I. is all about speed. A.I. is all about massive...