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    Real-Time IAB Content Classification for Ad Tech

    Classify content and conversation context into actionable monetization signals for your ad partners — at the edge, with sub-100ms response times, at scale.

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    ZeroGPU API Services

    Powerful inference services designed for this use case

    zlm-v1-iab-classify-edge

    Edge Classification

    Purpose-built IAB taxonomy classifier for real-time content categorization at the edge. Maps text to the IAB Content Taxonomy — the industry standard across programmatic advertising. At 90M parameters on ONNX, it's optimized for high-volume, sub-100ms classification without roundtrips to a centralized server.

    Key Features

    • IAB Content Taxonomy mapping
    • Sub-100ms edge inference
    • 90M parameter ONNX architecture
    • No centralized server roundtrips

    Example Use

    Classify page content or chat context in-stream to generate IAB category signals for programmatic bid requests.

    zlm-v1-iab-classify-edge-enriched

    Edge Classification

    The enriched variant goes beyond standard taxonomy labels by producing multi-signal outputs — not just a category, but layered context signals that downstream systems can use for better targeting, filtering, and personalization. Same 90M-parameter ONNX architecture, same sub-100ms edge speeds.

    Key Features

    • Multi-signal classification output
    • Richer contextual data per inference call
    • Same sub-100ms latency as base model
    • Deeper content intelligence for downstream pipelines

    Example Use

    Generate enriched monetization signals from conversation context that ad partners can use for contextual targeting and personalization.

    Power Your Ad Platform with Edge AI

    Start classifying content into monetization signals with sub-100ms edge inference

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    Frequently Asked Questions

    Ready to start building?

    Deploy IAB classification at the edge and start generating monetization signals today

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