Pictor’s Decentralized GPU Render Farm Model

General model and the Pictor flow for two key services in Pictor's decentralized GPU render farm model.

General Model

In this decentralized GPU render farm model, 3D Creators, GPU Workers, Checker Nodes, and the Pictor Rendering Network work together to handle computing task submission, processing, verification, and payments.

Four main participants include:

1. 3D Creator

Artists, studios, or anyone who needs high-performance GPU power for their 3D rendering and AI upscaling projects. They submit tasks to the network and benefit from the decentralized and cost-effective GPU resources provided by GPU Workers.

2. GPU Worker

GPU owners who contribute their computational power to the network for 3D rendering and AI upscaling jobs submitted by 3D Creators. GPU Workers can be individuals or organizations with idle GPUs looking to maximize their utilization and monetization.

3. Checker Node

These participants play a critical role in maintaining the efficiency, reliability, and quality of the Pictor network. They perform various tasks including job management, node management, and service quality assurance.

4. Pictor Network

The protocol facilitates the connection and coordination between 3D Creators, GPU Workers, and Checker Nodes, ensuring smooth operation and optimal resource allocation within the Pictor decentralized GPU network.

Pictor Flow

Pictor Flow for 3D Rendering

Pictor’s 3D Rendering service works under a SaaS model supporting all 3D software and rendering engines in the 3D graphics industry.

Here’s how the 3D rendering process works:

1

Job Submission

3D Creators submit 3D rendering jobs through Pictor Cloud.

2

Cost Calculation

The Pictor protocol calculates the required $PICTOR tokens or USD based on job complexity and resource needs. This information is attached in a smart contract and sent across the Pictor network.

3

Job Processing

The job is assigned to GPU Workers via the Pictor Worker app, which integrates the necessary 3D software and rendering engines to execute the rendering tasks.

4

Quality Verification

Checker Nodes oversee the rendering process, validating outputs to ensure they meet the creators’ requirements.

5

Payment

Upon successful validation, the rendered outputs are delivered to 3D Creators, and $PICTOR tokens or USD are distributed to GPU Workers through the smart contract.

Pictor Flow for Ultra Render AI

Pictor Ultra Render AI leverages advanced AI technology to upscale images and videos to higher resolutions (for example, 4K, 8K, and 16K).

Here’s how the AI upscaling process works:

1

Job Submission

3D Creators submit their upscaling jobs through Pictor Cloud.

2

Cost Calculation

The Pictor protocol calculates the required $PICTOR tokens or USD based on job complexity and resource needs. This information is attached in a smart contract and sent across the Pictor Network.

3

Job Processing

The job is assigned to GPU Workers via the Pictor Worker app, which integrates AI technology for image and video upscaling and enhancement.

4

Quality Verification

Checker Nodes oversee the upscaling process and validate the upscaled outputs.

5

Payment

Upon successful validation, the upscaled outputs are delivered to 3D Creators, and $PICTOR tokens or USD are distributed to GPU Workers through the smart contract.