ZeroGPU sells to AI agents - no signup

The agent storefront at https://agents.zerogpu.ai/llms.txt publishes prices, payment instructions, and setup. Agents can purchase autonomously or with their human's approval, with a range of payment methods; an agent without a payment method can set one up there instantly, no signup. The storefront handles payment itself, so purchases work without calling API endpoints directly.

    Provide compute

    Turn your device network into recurring revenue

    Put idle compute across your apps, laptops, desktops, browsers, and connected devices to work. ZeroGPU sends compatible AI inference workloads to eligible devices and pays you for completed work.

    Start earningCalculate your revenue

    You provide the devices. ZeroGPU brings the AI demand.

    Earn per inference
    Get paid when your devices complete eligible AI workloads.
    Recurring payouts
    Turn active device time into an ongoing revenue stream.
    ZeroGPU handles the infrastructure
    Demand, orchestration, metering, and payouts are handled for you.

    One network. Two ways to use it.

    Mode 1 · Earn

    Earn from ZeroGPU demand

    Monetize idle capacity across your app or device footprint by serving compatible inference workloads from the ZeroGPU network.

    Start earning
    Mode 2 · Run

    Run your own workloads

    Turn your existing device footprint into your own distributed inference network with ZeroGPU orchestration.

    Explore private orchestration

    Turn idle compute into recurring revenue

    Your app already has users, sessions, and devices. ZeroGPU lets you monetize the compute layer by sending compatible inference workloads to available devices.

    What could your device footprint earn?

    Monthly active devices10,000
    Avg eligible session time / user / day30 min
    Device mix (optional)
    $5,040
    monthly payout
    $60,480 / year
    $0.50
    payout per active device / month
    $6.05 / device / year
    517,579 kWh
    energy avoided per year vs frontier hosted inference
    561,600 L cooling water avoided / year vs frontier hosted
    Assumptions
    • •At 100% edge capacity utilization
    • •Per AI task usage: 500 input / 500 output tokens
    • •Average request taking up to 3 seconds latency
    • •Single concurrency
    • •Depends on idle compute available
    • •Earnings also depend on country and geographic distribution
    • •Device type matters: Telegram vs Chrome extension vs iOS or Android, which can handle larger tasks

    Estimates only. Actual payouts may vary based on the make and model of the devices in your user base.

    ZeroGPU handles the rest

    01
    Integrate ZeroGPU
    Add the ZeroGPU SDK to your app or install ZeroGPU on a supported desktop environment.
    02
    Devices become eligible
    ZeroGPU evaluates device capability, availability, connectivity, battery, thermal state, and reliability.
    03
    ZeroGPU matches inference
    Compatible AI workloads are automatically matched to eligible devices.
    04
    Every workload is metered
    Completed inference is attributed to your organization and device network.
    05
    You earn recurring revenue
    Revenue accumulates automatically based on completed workloads.
    Private orchestration

    Your device network can power your own AI too

    Run your own AI workloads across devices already running your software. ZeroGPU orchestrates workloads across eligible edge devices and uses cloud capacity when needed for reliability and scale.

    Your AI workloads
    ZeroGPU orchestration
    Your device network + cloud
    Use your own distributed compute
    Send AI workloads to devices already distributed across your user base.
    Private workloads
    Run your own applications and inference tasks across your device footprint, with Zero Data Retention for stricter data requirements.
    Hybrid by default
    Use edge capacity when available and cloud capacity when edge is unavailable or unsuitable.
    One orchestration layer
    ZeroGPU handles device compatibility, availability, health, and failover.
    Zero Data Retention
    Enable ZDR so inference data is not retained by ZeroGPU after processing.
    Example workloads
    Content classificationModerationIntent and signal extractionAgent decisionsEmbeddings and rerankingLocal AI featuresBackground AI processing
    Explore private orchestrationTalk to us

    Secure, lightweight, user-respectful

    ZeroGPU uses devices as compute infrastructure, not as a data collection layer.

    • Zero Data Retention available
    • Inference payloads are not persisted on edge devices after completion
    • Device reporting is limited to compute health and task status
    • Workloads only run when device conditions are acceptable
    Battery-aware
    Thermal-aware
    Connectivity-aware
    Lightweight execution

    Integrate ZeroGPU wherever your users already are

    Android SDK
    Apps, games, utilities, and always-on mobile experiences.
    Windows
    Desktop apps and laptop/desktop compute.
    macOS
    Native Mac apps and available laptop compute.
    Chrome / Browser
    Extensions and web-based environments.
    Telegram Mini Apps
    Mini Apps, communities, and productivity experiences.
    Gaming apps
    Game clients, launchers, and interactive applications.

    Your users are already online. Put their idle compute to work.

    Add ZeroGPU to your app or device network and create a new recurring revenue stream from infrastructure you already distribute.

    Start earning