Pictor Worker
Pictor’s full-stack solution for GPU providers — combining a cloud-based dashboard for GPU Worker management with flexible execution options through the Worker Desktop App or Docker Image.
Information: Basic details include Pictor Worker is the full-stack solution for anyone contributing GPU resources (aka GPU providers or Workers) to the Pictor Network, from individual providers with a single card to organizations operating multi-GPU clusters.
It combines a web-based Cloud Interface and local execution tools, allowing GPU providers to register, monitor, manage, and operate their GPU Workers with ease and flexibility.
At its core, Pictor Worker consists of:
Cloud Interface to register, monitor, and manage your GPU Workers across locations.
Worker App for quick setup and effortless execution of jobs.
Docker Image (coming soon) as a cross-platform alternative for advanced users or headless environments.
Explore more about each component below.
Cloud Interface
Worker Setup
Users can quickly create and set up new GPU Workers through just a few simple steps:
Name and initialize a Worker on the cloud
Download and install the Pictor Worker App or Docker Image, and import the configuration file to complete the setup.
Worker Management
Worker Management is the central dashboard giving GPU Providers a clear overview of all their GPU Worker nodes in one place. After setup, every Worker appears in the list, where users can track worker node status, performance, and earnings in real time.
For those managing a large number of nodes, this page offers powerful search and sorting features, allowing you to organize Workers by criteria such as Status, Name, Create Date, and Last Update. Additionally, you can monitor key data points such as:
Uptime
GPU
RAM
Status
Action buttons
Worker Management provides two levels of monitoring:
1. Summary
The Summary page provides an overall view of all Workers owned by a user. It shows total earnings, task statistics, and charts for both earnings and tasks, giving a quick snapshot of how all your Workers are performing.
2. Worker Details
The Worker Details page provides comprehensive, real-time details of each Worker. This page is divided into three main tabs: System Monitor, Statistics, and Task History.
System Monitor
The System Monitor tab provides near real-time insights into the status and performance of an individual Worker node. Here, users can see:
Worker Info: Basic details include Worker ID, operating system, last heartbeat, installed 3D software, and location.
Status & Processing Details: Current job status, job ID, task ID, and progress bar to track ongoing tasks.
Hardware Metrics: Hardware metrics include information about GPU, CPU, and RAM, covering specifications, utilization, temperature, and memory usage.
Statistics
The Statistics tab provides a detailed overview of a Worker’s performance over time. It displays total earnings and points, along with task counts such as completed, failed, pending, and paused. Users can also view interactive charts that track earnings and task statistics over selectable time ranges (e.g., 7 days or 1 month).
List Tasks
The Task History tab lists all jobs processed by a Worker. Users can search, filter by date or status, and view details such as task ID, status, progress, render time, cost, reward, start time, and completion time. This history helps users review past jobs, check rewards, and monitor ongoing tasks in one place.
Worker App
Pictor Worker App is a dedicated application that you install on your devices to contribute GPU compute power to the Pictor Network. By keeping the app running, your Worker is ready for 3D rendering and AI tasks assigned by the network to earn rewards.
The app includes several main tabs as follows:
Rendering
The Rendering tab provides detailed information about the 3D rendering jobs your Worker is handling, including:
Wallet Address
Job ID
Task ID
Time bar: both the estimated completion time (EST) and time remaining
Render log
GPU and CPU utilization
Mining
Notes:
Mining is an upcoming feature.
Mining is only available to Workers running NVIDIA GPU(s).
Settings
The Settings tab displays key information and configuration options for your Worker, including:
Wallet Address: Linked to your Pictor account login; currently not editable
Blender: Detects whether Blender is installed on your device
Worker ID
Worker Name
Auto Update: Toggle to enable or disable automatic updates
Docker Image
Pictor Docker Image is an alternative to the Worker App. It is designed for advanced users who prefer command-line tools, for headless environments without a graphical interface, and for larger-scale environments such as data centers or GPU farms. With Docker, deploying and managing worker nodes become more flexible and scalable across different platforms.
Visit here for a detailed guide on how to set it up.
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