by Dr. Lovasz Colin
I do find it incredibly stupid the immense supercomputers we use today, with chips being designed by EUV machines and which require a nuclear power plant to empower them, and they do process just a small fraction of the human brain, the current technological paradigm will be soon obsolete and must be replaced by molecular nanotechnology.
Now going beyond the Exascale limits of the human brain to something as unbelievable as a Yottascale supercomputer would be an incredibly powerful machine, capable of handling an immense amount of data.
To give you an idea, the next scale after the Exascale which is the Zettascale represents 10^21 and is 1000 times higher than the Exascale. Hence, a yottabyte (YB) is 1000 times higher even than that, which roughly equals 1,000,000,000,000,000,000,000,000 bytes or one septillion bytes.
This vast difference highlights the tremendous leap in computational power and data processing capabilities from Exascale to Zettascale and Yottascale.
I want to clarify that according to my calculations, this is a scale of processing power that can be achieved with molecular nanotechnology on a desktop-scale computer, and it will be colossally more powerful than all the computers and brains of today combined in a single system, so according to my calculations Molecular Nanotechnology will provide incredibly more computing power than scientists were previously thought to be possible.
One of the closest real-world examples of large-scale data storage is the Utah Data Center, which is designed to store data on the order of Exabytes. While not quite at the Yottabyte level, it gives a glimpse into the potential future of data storage and processing capabilities.
A desktop-scaled Yottascale supercomputer functioning at Petahertz frequencies engineered by molecular nanotechnology would be able to store and process vastly more information than all the computers in the world and the whole internet combined in fractions of seconds.
The most powerful supercomputers of today consume a few dozen megawatts of power, while the human brain powered by cellular mitochondria and the intricate mechanisms of ATP synthase operates at just 12 watts and is vastly more powerful (a megawatt is a million watts), so typical supercomputers of today consume approximately 20.000.000 watts to be more precisely.
The Extreme Ultra Violet lithography that is used in the semiconductor industry to create intricate patterns on semiconductor substrates that involves using a high-power laser to create a plasma that emits EUV light, which is then reflected off mirrors to pattern the semiconductor, actually belongs to stone writing.
Well, the high-numerical-aperture EUV lithography imposed by ASML and the TWINSCAN EXE 5000, represents a step further that involves a major reengineering of the system’s internal optics, and it should be ready for commercial use by 2025.
Well, it should extend Moore's Law to the Angstrom era and trillion transistor chips by 2030.
Comparing the scale of operation initiated by ASML technologies, the EUVL operates at the nanometer scale (13.5 nm), while MNT operates at the atomic scale, manipulating individual atoms.
EUVL uses photolithography with EUV light and mirrors, whereas Molecular Nanotechnology uses mechanosynthesis to build incredibly complex and advanced structures atom-by-atom.
Molecular Nanotechnology will enable trillion times more powerful computers than all human brains combined in just one cubic inch diameter crystal as we will compute with sextillion computing elements per cubic inch, making it automatically a form of Zettatechnology, and it will also consume drastically lower energy than the human brain.
MNT is so incredibly phenomenal that it will enable us to build incomprehensibly powerful A.I models with a hundred sextillion parameters and revolutionary quantum computing capabilities.
In order to build a Yottabyte supercomputer would require an incredibly advanced and robust infrastructure such as :
1. Data Storage and Management
Massive Storage - To handle yottabytes of data, you would need incredibly high-capacity storage devices, likely using molecularly nanoengineered solid-state drives (MNT SSDs) and sophisticated computronic crystals.
Efficient Data Management - Sophisticated algorithms and software for data indexing, retrieval, and management would be essential to ensure quick access and efficient use of the stored data.
2. Processing Power
High-Performance Processors - Nanoengineered three-dimensional molecular nanoCPUs and nanoGPUs would be required to process the data. Advanced quantum processors might also play a role in future supercomputers.
Parallel Processing - Immensely parallel processing techniques would be necessary to handle the enormous computational load.
3. Power Supply
Molecular nanocomputing systems would be nanoengineered at the atomic scale and it will consume extremely low electricity, well just a fraction of the human brain.
4. Networking
High-Speed Interconnects - Extremely fast and reliable quantum networking infrastructure would be needed to connect the various components of the incredibly powerful Yottascale machines, ensuring seamless data transfer and communication, (more likely a form of teleportation of data).
Fiber Optic Networks - Advanced fiber optic and quantum networks would likely be used to handle the high data transfer rates.
5. Physical Space
Nanotech Data Centers - The physical space required would be extremely small, since nanotech will reduce the current building-sized supercomputers to a sugar cube scale.
6 Software and Algorithms
Advanced Software - incredibly complex software and algorithms would be needed to manage and optimize the performance of the supercomputers, including machine learning and artificial intelligence applications.
7. Maintenance and Upgrades
Regular Maintenance - Continuous monitoring and maintenance would be necessary to ensure the system operates efficiently and to address any hardware or software issues.
Scalability - The infrastructure should be designed to allow for future upgrades and expansions as technology advances.
Such a system would represent a monumental leap in computational capabilities, opening up new possibilities in fields like artificial intelligence, climate modeling, molecular simulations, and more.
By manipulating matter at the atomic level, we could theoretically build extremely dense and efficient computational systems like:
1. Atomic-Scale Storage
Data Density: Each atom in a diamond could potentially represent a bit of data, allowing for incredibly dense storage, where every atom from the composition of a processing unit will be fully utilized. With a few dozen septillion atoms in a single cubic inch scale diamond, the storage capacity could indeed reach yottabyte levels.
2. Quantum Computing
Quantum Bits (Qubits): Utilizing quantum bits, which can exist in multiple states simultaneously, could exponentially increase computational power, and through further nanotech improvisation these quantum systems could reach phenomenal capabilities. Quantum computers could leverage the properties of atoms and subatomic particles to perform complex calculations at unprecedented speeds, while nanotech could expand their processing power to unimaginable levels.
3. Molecular Assemblers
Precision Engineering: Molecular assemblers could build incredibly complex and dense computational machinery down at an atomic precision vastly surpassing the speed and capability of biological molecular machinery, optimizing both space and efficiency. This could lead to the creation of highly compact and powerful computing units that utilizes every atom out of their composition as a computing element.
4. Energy Efficiency
Reduced Power Consumption: Nanotechnology could enable more energy-efficient computing by minimizing heat generation and optimizing energy use at the atomic level.
5. Advanced Materials
Diamond and Beyond: Diamond is just one example of a material with high potential for nanotechnology. Other advanced materials, such as graphene, could also be used to create even more efficient and powerful computational systems, and in the end the A.I could finally design materials with incredible properties.
6. Self-Repairing Systems
Autonomous Maintenance: Nanotechnology could enable self-repairing systems, where molecular machines detect and fix issues at the atomic level, ensuring long-term reliability and performance.
7. Integration with A.I
Enhanced A.I Capabilities: Combining nanotechnology with artificial intelligence could lead to systems that not only store and process vast amounts of data but also learn and adapt in real-time, pushing the boundaries of what is possible with current technology.
The potential of molecular nanotechnology to revolutionize computing is immense, and it could indeed pave the way for yottascale computers.
By expanding in size the molecular nanocomputing systems engineered by Molecular Nanotechnology from the desktop-scaled systems to a room-sized system, we will be able to go way beyond Yottascale (10^24) to Ronnascale (10^27) and Quettascale (10^30), but such systems will be truly mind-blowing. Such supreme computing systems could process all existing information from the universe in a fraction of second and to know all the possible outcomes before they even happen.
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