Political resistance against data centers. Forces them to find new locations for those systems.
Data centers face resistance. That is one of the things. That we can see. The main problem with data centers is this. Those systems don’t require permissions. Except for the use of land area. The data company. It can buy a large group of houses. And then turn the database into cloud-based systems. The cloud-based architecture means this. There can be extremely large data centers in the neighborhood, and nobody even knows that they are there.
When we resist data centers. And the use of AI. We can see similar cases in history. In history, people resisted things like cars. The origin of the car is in the train. The steam engine made it possible to make trains.
The speed of the first train. It was 21 km/h. The crew of the train was two. Two men could handle very much cargo. The first trains were used in mining areas. They could maintain their speed. All the time. And that removed the crew from logistics. And then people started to think about the possibility. To create the train on wheels. The combustion engine made the car real. And that caused problems with workers. Unlike horses. Cars and trains required mechanics. Those people who worked with those mechanical systems required training. Unlike people who feed horses.
They said cars would cause unemployment. Cars caused pollution. But the first arguments against cars were that cars take work from cattle workers. The problem with that criticism was simple. It was that the critics were cattle owners. Horses were the most important working “tools” before the car. The big problem with cars was that. They took the place that belonged to horses. first car was slower than a horse. The maximum speed of the car. It was about 15-30km/h. But the car was a machine. It could maintain that speed. All the time. So, the car was more effective. The car didn’t need water or food. And that made tractors and cars suitable. To operate in places. Like Antarctica. If people operated there with horses. That required a lot of food.
But as we know, people resist data centers for many reasons. The big problem is that. The only thing that measures effectiveness. It is the income money. If people have free time. In their workplace. That is ineffective time. That causes a need to decrease the number of workers in the workplace. That causes unemployment.
Another thing is that. People resist everything that is new. The ICT area is been like in the position of the stepson in the media. When we think about traditional business. That thing required a lot of workforce. A steel factory sends pollution. So that requires lots of permissions. Of course. Data centers require permission to use land area. The data company can just buy a lot of houses. And then make data centers in them. This kind of solution doesn’t need new buildings. This means that. The data centers don’t need as much political support as traditional factories.
And the second thing is this. Data centers are primary targets for the enemy in the case of war. This means that things like underground facilities can help data center survivability.
But the answer. It could be an underground data center. The tunnels are full of supercomputers and are not visible from the ground. The technology. That those tunnels require. They can be the same. That is used for making subway trains.
The ICT company doesn’t require a workforce in the traditional way. They don’t need raw materials. They need people who make code. There are no psychological or health limits in this work. The ICT company just needs working spaces. And remote work makes it possible to operate data centers from another side of the world. The head coder can do the job. That person can operate and train AI agents to make code. The underground facilities are the answer to the natural problems. Data centers that are deep underground. They can use geothermal heat or miniature nuclear reactors to provide electricity.
The deep caves. Like exhausted gold mines. They can provide stable and radiation-protected locations. Some of those points are used for neutrino telescopes. But those locations can be suitable places for quantum computers. The quantum computer. It can be in a thermos box. The isolation layer: A faraday cage and radiation protection. They are between the walls. Of the box. The purpose of those layers is to isolate the qubits. From the outside environment.
The other place where those data centers. They can be made. Is the ocean floor. Large and complex structures. They can be modules. Dropped to the deep sea. Deep-sea data centers can be operated using robots. Underground and deep-sea positions. They can protect data centers against terror and bomb strikes.
Rising resistance against data centers. Forces data companies to find new positions for data centers. The deep sea and underground positions. They are effective. But things like orbital data satellites are new tools. They can operate using cloud-based architecture. Data satellite. It’s a similar server. To other servers. The orbital server’s program maintenance. It is similar to other servers. So, the person who does the maintenance work. That person doesn’t need to know. The position of the server. The orbital data center. It can be the belt or chain of data satellites. If one of those satellites is visible from a ground station all the time. That means the maintenance will not see any difference between ground-based data centers. And data satellites.
The satellite. It can have a heat shield. And the ability to land safely. This means that those satellite swarms can recover their critical components. And that helps to find. If somebody tries to “steal” them. The orbital data center. It is a group of satellites. Those satellites can communicate with each other using lasers and radio communication. The system is similar to Starlink. The backups. And other things can be made into other satellites.
Or ground-based hard disks. When one satellite is jammed. That satellite will be replaced with another satellite. The operations with orbital computer platforms are the same as they are on ground-based systems. The people who operate the computers. They drive system updates into the orbital data servers. As they do for the normal ground-based data centers. The people who update and maintain computers. They must not have access to satellite trajectory controls.
People who adjust satellite trajectories must not sit in the same room. There the compute operators sit. The same way as in every other data center. The maintenance crew can operate those systems remotely. Just like in every case on Earth. The remote operators don’t need to know where their server is located. They need to know how to make those updates.
