Rynus Model

Requester, Worker, Sentry Node, and Rynus are interconnected to request and perform jobs, check performance, pay, and reward with $RNS Token.

General Model

Rynus General Model

The Rynus model encompasses four key entities:

1. Requester

Requesters are individuals or entities requiring substantial computing power for tasks such as AI model training, Data labeling, or 3D rendering.

2. Worker

Rynus integrates two types of Workers: GPU Workers and Labeling Workers.

GPU Workers are GPU nodes contributing computational power to the Rynus network. Workers include both Trusted Partners Workers, situated within our local data center, and Global Workers, GPU nodes seeking to join the network.

For Data labeling jobs, Labeling Workers can be any device, from mobile, tablet to PC and laptop.

3. Sentry Node

Sentry Nodes are nodes that are responsible for regularly checking resource availability and evaluating the performance of Workers, ensuring the integrity, performance, and quality of service within the network.

Rynus Advanced Model

4. Rynus

Rynus is a blockchain-based GPU cloud computing network that connects Requesters, Workers, and Sentry Nodes. Within the Rynus infrastructure, the following components play crucial roles:

4.1. Job Manager

The Job Manager is responsible for resource allocation and coordination of workers worldwide, including hardware checks and standardization control tasks. Rynus has amassed five years’ worth of standardized data to address these tasks efficiently as well as developed AI bots to optimize task allocation for the best performance. The Job Manager efficiently handles tasks by constructing queues, segmenting jobs into smaller tasks, and distributing them to Workers.

4.2. Pool

The Pool manages the online, offline, busy, available, and unavailable status of Workers, ensuring efficient utilization and availability of computational resources.

4.3. Transaction Manager

Transaction Manager handles payments through the Rynus token and smart contracts that based on blockchain technology. Additionally, Requesters have the option to make payments in fiat currency.

Rynus Flow for AI Training

Rynus Flow for AI Training

Rynus AI Training works under a SaaS model supporting all AI frameworks and libraries.

Workflow explanation:

1. The requester submits AI training jobs on Rynus using the Rynus Cloud and/or Rynus Transfer app.
2. The protocol calculates the amount of $RNS tokens required to perform the AI training job. Details are attached to a smart contract and sent across the Rynus.
3. Workers use the Rynus Worker app integrated with the required AI libraries and software to process the requested AI training job.
4. Once AI training jobs are completed and delivered, $RNS tokens are transferred via the smart contract.