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GaiaNet

Overview​

GaiaNet is a decentralized ecosystem supporting AI applications that learn, improve, and grow over time. GiaNet's' decentralized computing infrastructure enables individuals and businesses to create, deploy, scale, and monetize their own AI services using proprietary data.

GPU-based Gaia Nodes are fully-featured AI agent servers optimized for high performance.

Why run a GaiaNet Mainnet GPU Node?​

  • Flexible, powerful infrastructure for AI agents tailored to your domain and performance needs
  • Earn Gaia rewards for operating Nodes
  • Control your own Node instances
  • Access to your own AI agent interface hosted on a Node you control
tip

Skip the technical headaches — with NodeOps templates, you can instantly deploy Nodes and start contributing to GaiaNet. Join the network, support decentralization, and unlock the opportunity to earn token incentives directly from GaiaNet.

⚠️ Disclaimer: NodeOps does not control or guarantee rewards. Incentives, if any, are issued solely by GaiaNet based on their rules.

Deploy a GaiaNet Mainnet GPU Node on NodeOps DePIN Cloud​

Use the video or walkthrough to understand how to deploy and operate a GaiaNet Mainnet GPU Node at-a-click with no setup overhead.

Prerequisites​

  • Sufficient funds for the GPU deployment

Step 1: Create the deployment​

  1. Follow Cloud.NodeOps.Network/Marketplace/gaia-mainnet-agent, or log in and navigate to the Template Marketplace, and search for Gaia Mainnet (GPU).

You can filter by GPU and other filters on the right hand side of the dash to refine the search set.

  1. Click Deploy Template, and select:
  • GPU type
  • Plan (7-day or 30-day)
  • LLM model
GPU options
  • RTX 3090
    • Released 2020
    • Architecture: Ampere
    • Perfomance: High VRAM (24 GB GDDR6X), strong 4K performance, well-suited for creative workloads
    • Features: Offers exceptional rendering and AI capability
  • RTX 4090
    • October 2022
    • Architecture: Ada Lovelace, using TSMC 4N process
    • Performance: Offers 50% to 100% better performance than the RTX 3090 across benchmarks, creative workloads, and 4K gaming
    • Features: Superior ray-tracing, DLSS 3, more CUDA/Tensor/RT cores, significantly improved efficiency
  • RTX 5090
    • Q1 2025
    • Architecture: Blackwell (RTX 50-series)
    • Performance: Upgraded core counts: ~21,760 CUDA cores vs. 16,384 on the 4090. VRAM: 32 GB GDDR7 on a 512-bit bus, offering significant bandwidth boost

RTX 5090 comparison:

  • Compared to RTX 4090: ~27–35% average performance improvement in gaming and AI workloads source
  • Compared to RTX 3090: Massive leap in performance—benchmarks show 69–97% higher FPS across resolutions source
  1. Click Next, complete payment, and click Deploy.

Step 2: Register your Node with GaiaNet​

  1. Follow GaiaNet.ai/Setting/Nodes, and click Connect. Remember to connect the same wallet you use to for NodeOps Cloud.
  2. Review and accept the terms of service.
  3. Click Connect New Node, copy/paste the Node ID and Device ID from the NodeOps dash to the GaiaNet Node registration form and click Join.
  4. Open the Node menu and select Join Domain.
  5. Click Next Step and choose a Gaia domain matching your LLM model.
  6. Verify your Node status and domain match, then click Complete.

Congratulations your AI agent is active. Choose how you want to use this:

(Optional) Step 3: Join the GaiaNet Protocol to earn rewards​

Use the video or walkthrough to understand how to register your Node on GaiaNet Mainnet to start earning rewards.

  1. Log into GaiaNet.ai/domain-explore with the same wallet you use for NodeOps Cloud.
  2. Identify a Gaia Domain that leverages the LLM model your Node runs, click Join Now and Next Step.
  3. Select a Node that's:
  • Online
  • Not already associated with a domain
  • Provides the required LLM model and click Next Step.

Congratulations, you are now contributing GPU resources to the GaiaNet Mainnet.

(Optional) Step 4: Access your GaiaNet AI agent​

As the host of the AI Agent Node, you have access to your Agent through a public URL or through API. Use the video to understand how to chat via the URL. Notice that you can update the system prompt to tune the agent to your needs.

Gotchas​

  1. If your Node is not fully deployed, then GaiaNet may reject your attempt to register in Step 2. Ensure there are workload logs before attempting this again.
Show me
A no logs found message in the Workload logs suggests the Network needs more time to deploy the Node
  1. Gaia creates intermediate IDs that are returned in the workload logs, don't apply these at Step 2, use the values displayed in the main dashboard.
Show me
A no logs found message in the Workload logs suggests the Network needs more time to deploy the Node

What next?​