Dynex
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Dynex: The Neuromorphic Cloud Computing Platform
Despite the incredible power of today’s supercomputers, many complex computing problems cannot be addressed by conventional systems. The huge growth of data and our need to better understand everything from the universe to our own DNA leads us to seek new tools that can help provide answers. Quantum computing and Neuromorphic computing are the next frontiers in computing, providing an entirely new approach to solving the world’s most difficult challenges.
The Dynex Platform leverages neuromorphic dynamics to accelerate and enable new methods for solving discrete optimization, sampling, and machine learning problems. Dynex uses a process called neuromorphic annealing to search for solutions to a problem. Neuromorphic annealing is fundamentally different from classical computing. It harnesses the natural tendency of real-world physical systems to find low-energy states. If an optimization problem is analogous to a landscape of peaks and valleys, for instance, each coordinate represents a possible solution and its elevation represents its energy. The best solution is that with the lowest energy corresponding to the lowest point in the deepest valley in the landscape. Participating miners constitute one combined neuromorphic computing network using our proprietary PouW algorithm DynexSolve, providing an efficient Ising/QUBO sampler to customers. Computing jobs are being distributed by the proprietary Dynex Mallob system, which schedules and manages the work between all workers. Miners are being rewarded by the block reward, the transaction fees included in a block, the block fee being paid by Dynex customers and the solution reward which is distributed to the miner which finishes the computational task first.
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Despite the incredible power of today’s supercomputers, many complex computing problems cannot be addressed by conventional systems. The huge growth of data and our need to better understand everything from the universe to our own DNA leads us to seek new tools that can help provide answers. Quantum computing and Neuromorphic computing are the next frontiers in computing, providing an entirely new approach to solving the world’s most difficult challenges.
The Dynex Platform leverages neuromorphic dynamics to accelerate and enable new methods for solving discrete optimization, sampling, and machine learning problems. Dynex uses a process called neuromorphic annealing to search for solutions to a problem. Neuromorphic annealing is fundamentally different from classical computing. It harnesses the natural tendency of real-world physical systems to find low-energy states. If an optimization problem is analogous to a landscape of peaks and valleys, for instance, each coordinate represents a possible solution and its elevation represents its energy. The best solution is that with the lowest energy corresponding to the lowest point in the deepest valley in the landscape. Participating miners constitute one combined neuromorphic computing network using our proprietary PouW algorithm DynexSolve, providing an efficient Ising/QUBO sampler to customers. Computing jobs are being distributed by the proprietary Dynex Mallob system, which schedules and manages the work between all workers. Miners are being rewarded by the block reward, the transaction fees included in a block, the block fee being paid by Dynex customers and the solution reward which is distributed to the miner which finishes the computational task first.
Learn more
Despite the incredible power of today’s supercomputers, many complex computing problems cannot be addressed by conventional systems. The huge growth of data and our need to better understand everything from the universe to our own DNA leads us to seek new tools that can help provide answers. Quantum computing and Neuromorphic computing are the next frontiers in computing, providing an entirely new approach to solving the world’s most difficult challenges.
The Dynex Platform leverages neuromorphic dynamics to accelerate and enable new methods for solving discrete optimization, sampling, and machine learning problems. Dynex uses a process called neuromorphic annealing to search for solutions to a problem. Neuromorphic annealing is fundamentally different from classical computing. It harnesses the natural tendency of real-world physical systems to find low-energy states. If an optimization problem is analogous to a landscape of peaks and valleys, for instance, each coordinate represents a possible solution and its elevation represents its energy. The best solution is that with the lowest energy corresponding to the lowest point in the deepest valley in the landscape. Participating miners constitute one combined neuromorphic computing network using our proprietary PouW algorithm DynexSolve, providing an efficient Ising/QUBO sampler to customers. Computing jobs are being distributed by the proprietary Dynex Mallob system, which schedules and manages the work between all workers. Miners are being rewarded by the block reward, the transaction fees included in a block, the block fee being paid by Dynex customers and the solution reward which is distributed to the miner which finishes the computational task first.
Learn more
Design by Onur Oztaskiran