Pricing

The Dynex Platform stands at the forefront of this technological evolution, harnessing the principles of neuromorphic dynamics to revolutionize the way we solve discrete optimization, sampling, and machine learning dilemmas. At its core, Dynex employs a groundbreaking technique known as neuromorphic annealing to explore and unearth solutions to the most complex problems. This approach diverges fundamentally from traditional computing methodologies, capitalizing on the inherent tendencies of real-world physical systems to seek out low-energy states. The orchestration of computing tasks is meticulously managed through the in-house Dynex Mallob system, distributing work among all participants. Miners, who contribute their computational prowess, receive rewards in the form of block rewards, transaction fees within a block, block fees facilitated by Dynex's customers, and the coveted solution reward, generously bestowed upon the miner who successfully completes the computational task first. Dynex is committed to forging a brighter future through the fusion of cutting-edge technology and groundbreaking computational solutions.

Using Dynex technology for computations on the local machine is free

It allows sampling of computing problems on the local machine before using the Dynex Neuromorphic Computing cloud and is mainly intended for prototyping and testing of code.

Computing on the mainnet is being charged in DNX based on usage

Users can maintain their balances in the Dynex Market Place. The cost for compute on Dynex is based on supply & demand, whereas higher paid compute jobs are being prioritized by the workers. The value "CURRENT AVG BLOCK FEE" shows the current average price for compute. It defines the amount to be paid for each block, which is being produced every 2 minutes. Depending on the number of chips (num_reads), duration (annealing_time), size and complexity of your computational problem, only a fraction of the entire network is being used. The price charged for compute is being calculated as a fraction of the base "block fee" and is being displayed during computing in the Python interface as well as in the "Usage" section of the Dynex market place.

> Dynex Market Place

The Dynex Platform stands at the forefront of this technological evolution, harnessing the principles of neuromorphic dynamics to revolutionize the way we solve discrete optimization, sampling, and machine learning dilemmas. At its core, Dynex employs a groundbreaking technique known as neuromorphic annealing to explore and unearth solutions to the most complex problems. This approach diverges fundamentally from traditional computing methodologies, capitalizing on the inherent tendencies of real-world physical systems to seek out low-energy states. The orchestration of computing tasks is meticulously managed through the in-house Dynex Mallob system, distributing work among all participants. Miners, who contribute their computational prowess, receive rewards in the form of block rewards, transaction fees within a block, block fees facilitated by Dynex's customers, and the coveted solution reward, generously bestowed upon the miner who successfully completes the computational task first. Dynex is committed to forging a brighter future through the fusion of cutting-edge technology and groundbreaking computational solutions.

Using Dynex technology for computations on the local machine is free

It allows sampling of computing problems on the local machine before using the Dynex Neuromorphic Computing cloud and is mainly intended for prototyping and testing of code.

Computing on the mainnet is being charged in DNX based on usage

Users can maintain their balances in the Dynex Market Place. The cost for compute on Dynex is based on supply & demand, whereas higher paid compute jobs are being prioritized by the workers. The value "CURRENT AVG BLOCK FEE" shows the current average price for compute. It defines the amount to be paid for each block, which is being produced every 2 minutes. Depending on the number of chips (num_reads), duration (annealing_time), size and complexity of your computational problem, only a fraction of the entire network is being used. The price charged for compute is being calculated as a fraction of the base "block fee" and is being displayed during computing in the Python interface as well as in the "Usage" section of the Dynex market place.

> Dynex Market Place

The Dynex Platform stands at the forefront of this technological evolution, harnessing the principles of neuromorphic dynamics to revolutionize the way we solve discrete optimization, sampling, and machine learning dilemmas. At its core, Dynex employs a groundbreaking technique known as neuromorphic annealing to explore and unearth solutions to the most complex problems. This approach diverges fundamentally from traditional computing methodologies, capitalizing on the inherent tendencies of real-world physical systems to seek out low-energy states. The orchestration of computing tasks is meticulously managed through the in-house Dynex Mallob system, distributing work among all participants. Miners, who contribute their computational prowess, receive rewards in the form of block rewards, transaction fees within a block, block fees facilitated by Dynex's customers, and the coveted solution reward, generously bestowed upon the miner who successfully completes the computational task first. Dynex is committed to forging a brighter future through the fusion of cutting-edge technology and groundbreaking computational solutions.

Using Dynex technology for computations on the local machine is free

It allows sampling of computing problems on the local machine before using the Dynex Neuromorphic Computing cloud and is mainly intended for prototyping and testing of code.

Computing on the mainnet is being charged in DNX based on usage

Users can maintain their balances in the Dynex Market Place. The cost for compute on Dynex is based on supply & demand, whereas higher paid compute jobs are being prioritized by the workers. The value "CURRENT AVG BLOCK FEE" shows the current average price for compute. It defines the amount to be paid for each block, which is being produced every 2 minutes. Depending on the number of chips (num_reads), duration (annealing_time), size and complexity of your computational problem, only a fraction of the entire network is being used. The price charged for compute is being calculated as a fraction of the base "block fee" and is being displayed during computing in the Python interface as well as in the "Usage" section of the Dynex market place.

> Dynex Market Place

Copyright © 2024 Dynex. All rights reserved.

Copyright © 2024 Dynex. All rights reserved.

Copyright © 2024 Dynex. All rights reserved.