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.

    The edge inference cloud

    AI inference at the edge

    Run high-volume AI workloads on specialized small and open-weight models for lower cost, lower latency, and production-scale performance.

    Start buildingView model catalog
    100K+

    Edge devices

    50-70%

    Lower inference cost

    vs. traditional GPU clouds

    Up to 10x

    Faster inference

    for specialized AI workloads

    Performance varies by workload, model, and configuration.

    Calculate your savings
    The ZeroGPU approach

    Small models. Big performance.

    Most AI workloads don't need a frontier model. Specialized small models can outperform larger general-purpose models on focused tasks while delivering lower latency and more efficient inference.

    USE THE RIGHT MODEL FOR THE JOB

    • Specialized models for task-based inference
    • Frontier models for complex reasoning
    • Lower latency for repetitive AI workloads
    • Higher efficiency at production scale
    The ZeroGPU inference cloud

    Lower cost. Lower latency. By design

    The ZeroGPU Inference Cloud combines specialized models with cloud infrastructure and trusted edge capacity. Every workload runs on infrastructure designed for efficiency, speed, and production reliability.

    ZLMs

    Purpose-built

    ZeroGPU Language Models, trained for specific high-volume production tasks.

    Content classification

    Sub-second page & content labeling at production volume

    Intent & signal extraction

    Real-time intent and audience signals from live traffic

    Content moderation

    Fast policy screening before content ships

    Open-weight & SLMs

    Serverless

    Leading open-weight small and nano models, hosted and production-supported on the same hybrid inference cloud.

    QwenDeepSeekKimiGLMGPT-OSSLlamaLiquidAIGLiNERDeBERTa

    Serverless

    No provisioning, no idle cost

    Production-ready

    Monitoring, reliability, cloud fallback

    OpenAI-compatible

    Swap in with one line of code

    Usage-based

    Pay per token, priced per model

    View model catalogRead the docs

    Integrations & partners

    Built with the AI ecosystem

    Works with the infrastructure and frameworks you already use

    Drop into your stack with an OpenAI-compatible API

    ZeroGPU works like your existing model provider. Send selected workloads to specialized models using familiar API patterns, without rebuilding your application.

    OpenAI-compatible AI inference API

    Works with existing OpenAI SDKs where applicable

    Simple base URL change to get started

    Usage visibility across every project

    Latency visibility per request and per model

    Inference cost visibility down to the token

    No GPU infrastructure to manage

    Start buildingView model catalog
    OpenAI-compatible request
    curl --location 'https://api.zerogpu.ai/v1/chat/completions' \
  --header 'x-api-key: zgpu-api-xxxxx' \
  --header 'x-project-id: f4a114e5-xxxx' \
  --header 'content-type: application/json' \
  --data '{
    "model": "zlm-v1-iab-classify-edge",
    "messages": [
      {
        "role": "user",
        "content": "extract intent signals from this content..."
      }
    ]
  }'

    The right compute for every AI workload

    ZeroGPU intelligently routes inference across edge devices, edge servers, and cloud capacity based on the workload. Small, high-volume tasks can execute efficiently at the edge, while larger models and complex reasoning can use cloud infrastructure when needed.

    Today
    More GPUs
    More Data Centers
    More Power
    vs
    What's next
    Smarter Inference
    Specialized Models
    Efficient Compute

    Edge capacity, available globally

    From a single endpoint, your workloads execute on the most efficient compute available, backed by cloud infrastructure for reliability at any scale.

    Calculate your savings

    Specialized models, everywhere

    A growing catalog of small and nano models served from cloud and edge infrastructure built for speed and scale.

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    Edge capacity backed by cloud

    Workloads run on trusted edge devices worldwide, with cloud infrastructure available automatically when needed.

    Frequently asked questions

    Run your next AI workload on ZeroGPU

    Run specialized and open-weight models with lower latency, lower inference cost, and an OpenAI-compatible API.

    Start buildingView model catalog

    Questions? Talk directly with the engineers building ZeroGPU: hello@zerogpu.ai

    OpenAI-compatible · Edge-powered · Cloud fallback · Usage-based pricing