Requester, Worker, and Rynus are connected to request, perform jobs, pay, and reward with Rynus Token.

General Model

Rynus General Model

The Rynus model encompasses three key entities:

1. Requester

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

2. Worker

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

3. Rynus

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

3.1. 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.

3.2. Pool

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

3.3. 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 Model for 3D Rendering

Rynus Model for 3D Rendering

Rynus 3D Rendering works under a SaaS model supporting all single GPU and multiple GPU renderers such as Redshift, OctaneRender, Blender Cycles, Arnold, V-Ray, Iray, KeyShot, RenderMan, Lumion, Unreal Engine, Twinmotion, Enscape, Chaos Vantage, etc. 

Workflow explanation:

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

Rynus Model for AI Training

Rynus Model 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 Rynus 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, Rynus tokens are transferred via the smart contract.

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