Dynex Machine Learning Released ++ New Miner Version Released ++ Pools Upgraded ++ Ceasing Support for Old Miner Versions ++ Dyn

16 Jul 2023, 12:41
Dynex Machine Learning Released ++ New Miner Version Released ++ Pools Upgraded ++ Ceasing Support for Old Miner Versions ++ Dynex SDK Today marks a major milestone in the development of Dynex. We are thrilled to announce that the Dynex Platform now supports machine learning tasks (DynexSolveML). Thousands of hours went into our massive platform upgrade. In a coordinated, joint effort over the last weeks, our science, research & development team was working tirelessly on making the Dynex SDK (beta) compatible with existing Quantum computing frameworks - making it possible to run originally developed algorithms for Quantum machines on our platform by simply using Python code. Without the limitations of scaling, error-correction and accessibility. The miner developers didn't spare any effort to incorporate and optimise the Dynex Ising/QUBO sampler into their miners and our pool operators upgraded their infrastructure to support the new miner versions. A big thank you at this point to everyone who contributed! $DNX #Dynex #Quantumcomputing #MachineLearning #ArtificialIntelligence #PoUW

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3
Dynex
DynexDNX #578
Telegram
16 Jul 2023, 14:13
Ceasing Support for Old Miner Versions To allow for a smooth transition period, old miner versions will be still supported up until July 27th, 13:00 UTC. After that, old miners will not be able to connect to the Dynex Network any more. Hash-rate & PoUW Performance With this upgrade, we also incorporated two significant improvements to the simulation model of our Dynex Chips: Double precision (fp64) is now applied across all job types and simulations; and a newly introduced adaptive stepsize during the Chip simulation reduces mathematical errors introduced during the simulation process and also allows for faster evolution during the integration process to find optimal energy ground states. These technical advantages come with reduced POW hash-rates (depending on the GPU manufacturer and model used). There will be no impact on mining profitability after all miners have upgraded to the new versions. Yet, we encourage you to upgrade your miners already, the faster we migrate the entire network, the better it will be for our Dynex SDK (beta) users.
Ceasing Support for Old Miner Versions.
Ceasing Support for Old Miner Versions To allow for a smooth transition period, old miner versions will be still supported up until July 27th, 13:00 UTC. After that, old miners will not be able to connect to the Dynex Network any more. Hash-rate & PoUW Performance With this upgrade, we also incorporated two significant improvements to the simulation model of our Dynex Chips: Double precision (fp64) is now applied across all job types and simulations; and a newly introduced adaptive stepsize during the Chip simulation reduces mathematical errors introduced during the simulation process and also allows for faster evolution during the integration process to find optimal energy ground states. These technical advantages come with reduced POW hash-rates (depending on the GPU manufacturer and model used). There will be no impact on mining profitability after all miners have upgraded to the new versions. Yet, we encourage you to upgrade your miners already, the faster we migrate the entire network, the better it will be for our Dynex SDK (beta) users.
Dynex
DynexDNX #578
Telegram
16 Jul 2023, 14:12
New Miner Version Released OZM has just released the brand new miner version supporting full Ising/QUBO sampling. SRB miner is in the final stage and will release his version soon.
New Miner Version Released. OZM has just released the brand new miner version supporting full Ising/QUBO sampling.
New Miner Version Released OZM has just released the brand new miner version supporting full Ising/QUBO sampling. SRB miner is in the final stage and will release his version soon. https://github.com/OneZeroMiner/onezerominer/releases/tag/v1.2.0
Dynex
DynexDNX #578
Telegram
16 Jul 2023, 14:12
Dynex Machine Learning Released ++ New Miner Version Released ++ Pools Upgraded ++ Ceasing Support for Old Miner Versions ++ Dynex SDK Today marks a major milestone in the development of Dynex. We are thrilled to announce that the Dynex Platform now supports machine learning tasks (DynexSolveML). Thousands of hours went into our massive platform upgrade. In a coordinated, joint effort over the last weeks, our science, research & development team was working tirelessly on making the Dynex SDK (beta) compatible with existing Quantum computing frameworks - making it possible to run originally developed algorithms for Quantum machines on our platform by simply using Python code. Without the limitations of scaling, error-correction and accessibility. The miner developers didn't spare any effort to incorporate and optimise the Dynex Ising/QUBO sampler into their miners and our pool operators upgraded their infrastructure to support the new miner versions.
Dynex Machine Learning Released ++ New Miner Version Released ++ Pools Upgraded ++ Ceasing Support for Old Miner Versions ++ Dyn
Dynex Machine Learning Released ++ New Miner Version Released ++ Pools Upgraded ++ Ceasing Support for Old Miner Versions ++ Dynex SDK Today marks a major milestone in the development of Dynex. We are thrilled to announce that the Dynex Platform now supports machine learning tasks (DynexSolveML). Thousands of hours went into our massive platform upgrade. In a coordinated, joint effort over the last weeks, our science, research & development team was working tirelessly on making the Dynex SDK (beta) compatible with existing Quantum computing frameworks - making it possible to run originally developed algorithms for Quantum machines on our platform by simply using Python code. Without the limitations of scaling, error-correction and accessibility. The miner developers didn't spare any effort to incorporate and optimise the Dynex Ising/QUBO sampler into their miners and our pool operators upgraded their infrastructure to support the new miner versions.