This signal on the wave seems to seem simple at first sight, but it shows a main construction block for our platform, representing the birth of the first probability of the probability of saving energy, being able to produce, the computing person of a man. Based on beff Jezos.
One of the foreign innovations is a way to control thermodynamic effects in conventional silicon to perform calculations without extreme cooling. Efforts to calculate thermodynamics traditionally based on superconducting electronic circuits, but Verdon and his co -founder, Trevor McCourt, are using the fluctuations of charges in conventional silicon.
Extropic indicates that its hardware is perfect to run Monte Carlo simulation, a calculation class related to the probability sampling that is widely used in areas such as finance, biology and AI. These calculations are very important to build theoretical models like Openai O3 And Gemini 2.0 Flash thinking From Google.
The fact that the most calculated workload is Monte Carlo simulation, according to Ver Veron. We are not only interested in, but also applications in simulating random systems in high performance in general.
Extropic founders admit that the idea of receiving NVIDIA and other Chipmaker manufacturers seemed to be, on its face, completely crazy. NVIDIA's chip is still the best to train AI and moving to a planet is completely expensive and time -consuming.
But we are at a unique time when AI companies Need a lot of computer energy For who they are building data centers next to nuclear power plants, when countries are established Spend money for whomand when Environmental impact of technology Only worse. Perhaps, with all these things, not trying to invent the computer.
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