🐝About Sogni Fast Worker
Sogni Fast Worker gives you the ability to contribute your high performance consumer-grade or commercial-grade Nvidia GPU to Sogni Supernet, converting idle GPU time into earnings.
How Sogni Fast Worker Works
Sogni Fast Worker is a Docker-based application that runs in the background on your Windows or Linux machine. It’s designed to be "plug-and-play," so you can start contributing to (and earning from) the Sogni Supernet render network in minutes.
Run 24/7 on dedicated hardware
Deploy on cloud compute platforms (like Salad.com) that accept Docker images
Run part-time on a personal gaming PC when idle
How Do You Earn With Sogni Fast Worker?
Once your Fast Worker is up and running it automatically downloads the latest open-source image and video models and waits for creative AI tasks on the Sogni Supernet. Artists that are connected to the network through Sogni's Superapps or 3rd party platforms pay in SOGNI token or Spark Points relative to the complexity of the AI Inference task. As your Worker automatically accepts and completes these tasks it accrues a balance of SOGNI token in it's associated Sogni Account Smart Contract. A real-time accounting of your earnings in tokens AND job completions is visible at dashboard.sogni.ai with the ability to Claim and Withdraw your tokens, less network fees.
How Much Can I Earn With Sogni Fast Worker?
As a rough estimate, per our Daily Fast Worker Leaderboard a high performing Nvidia RTX 5090 machine may complete upwards of 10,000 image inference jobs every 24 hours. Factoring NET proceeds of $0.0025 USD per inference job, inclusive of network fees, you may earn upwards of $25 a day and $350 /mo.
*Your mileage may vary, this is an estimate based on expected demand and network fees.
Prerequisites to Run a Fast Worker
A free Sogni account (sign up at app.sogni.ai or use an existing one from Mac/iOS apps).
Docker Desktop for Windows or Docker Engine for Linux. Both are free.
A supported Nvidia GPU. The list of supported GPUs are generally any recent Nvidia GPU with at least 16GB of VRAM. This list currently includes: RTX 5090 - Ideal for Image and most Video inference RTX 4090 - Ideal for most Image Inference and some video H100 - Ideal for all Video Inference RTX Pro 6000 - Ideal for all Video Inference RTX 5080 RTX 4080 Super RTX 4080 RTX 4070 Ti Super RTX 5070 Ti RTX 3090 Ti RTX 3090 RTX 6000 Ada Generation RTX 5000 Ada Generation RTX A6000 RTX A5000 L40S H200 A100 B200 Tesla V100 RTX Pro 4000 RTX Pro 4500 RTX Pro 5000
A system with: RAM: At least 40GB for bare-metal installs, 30GB for remote Docker Container hosting. Ideally 48GB+ allocated for Video / ComfyUI Worker. Disk Space: At least 30GB free. Realistically 100-300gb if you plan on hosting manymodels. Internet: Min 5-10 Mbps recommended. Internet speed impacts job priority.
Sogni API Key + Sogni Fast Worker NFT (free). When you start the worker (
worker-start.shorworker-start.bat), you will be guided through a one-time worker authentication process. Please check the Fast Worker FAQ page for the latest information on acquiring the Fast Worker NFT.
There are currently three versions of the Sogni Fast Worker:
Flux Worker For running popular Flux and similar powerful image generation models
Stable Diffusion Worker For running any of the 100+ Stable Diffusion community models plus advanced Controlnets.
Comfy Worker (NEW: Dec 2025) Our latest worker type featuring Wan 2.2 video models as well as the latest open source frontier models like Qwen Image Edit Plus 2509 + Z-Image Turbo
Which Worker Should You Choose?
Flux Worker: If you want to focus on only a few, popular, state-of-the-art models and save disk space. 24gb+ vram GPUs recommended.
Stable Diffusion Worker: If you want access to a wide variety of models (95+) and advanced Controlnets. It does require more disk space (200gb+) if you choose to host every model but that is optional. If you have a supported GPU with only 16gb of ram you'll get more performance and more jobs with this model.
Comfy Worker: Our latest Worker type features our heaviest inference tasks like Wan 2.2 video. Best for 32gb vram+ GPUs: RTX 5090, H100, RTX Pro 6000. Z-Image Turbo is also hosted on this worker so a 16gb vram GPU could host that model on this worker.
You can switch modes at any time by rerunning the installer.
Leaderboard Rewards
Running a Sogni Fast Worker enrolls your account in the Leaderboard program for a share of a SOGNI Airdrops, based on your rank on the Fast Worker leaderboard. Please read the Terms and Conditions in the link above.
Pending Updates
We’re always actively developing additional features for Sogni Fast Worker. On the roadmap: model training, LLM inference, text-to-3d, upscaler jobs.
Legal and Liability Disclaimers
By running this worker application, you agree to the Sogni Terms of Service & Privacy Policy and the Leaderboard rewards Terms and Conditions.
Compliance with Local Laws
By participating, you agree to comply with all relevant laws. Sogni is not responsible for legal issues. Sogni monitors regulations to ensure compliance.
Assumption of Risk
Operating a node involves risks like hardware wear, electricity cost, and software issues. By participating, you accept these risks.
Limitation of Liability
Sogni is not liable for direct or indirect damages, financial loss, or device damage, even if advised of such possibilities.
No Guarantee of Earnings
Earnings vary; no minimum is guaranteed.
No Employee or Agency Relationship
You’re an independent participant, not an employee of Sogni.
Indemnification
You agree to hold Sogni harmless from any claims arising from your participation.
Software Use at Your Own Risk
The software is “as is” without warranties. Use at your own risk.
Agreement to Terms
By operating a node, you acknowledge and agree to these terms and disclaimers.
Need help? Join our Discord!
If you have any issues or questions setting up your Sogni Fast Worker you can reach out on Discord or via email to [email protected] for technical support. Join Sogni Discord ✨
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