Technology Partner

Efficient AI inference at the edge, on Qualcomm

Kognition runs AI inference on Qualcomm Cloud AI 100 accelerators—power-efficient, high-performance edge AI that turns the cameras you already own into real-time intelligent sensors.

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Technology partner

Integration

Edge inference on Cloud AI 100

Kognition supports Qualcomm Cloud AI 100 accelerators for AI inference, bringing real-time video analytics to power- and space-constrained edge deployments.

Cloud AI 100 support

Kognition's detection models run inference on Qualcomm Cloud AI 100 accelerators—purpose-built silicon for AI inference.

Performance per watt

Cloud AI 100 is designed for power-efficient inference, lowering the energy and cooling footprint of always-on video analytics.

Edge-first analytics

Analyze video close to where it's captured—real-time detection without backhauling every stream to a central server.

How it works

How the integration works

Your cameras + VMS existing streams, no new hardware video streams Kognition AI inference on Cloud AI 100 People · Watchlist · Vehicles · Threats alerts + actions Real-time response alerts at the edge, integrations
  1. 1

    Connect

    Kognition maps to your existing cameras and VMS; edge nodes with Cloud AI 100 accelerators sit close to the streams they analyze.

  2. 2

    Detect

    AI models run inference on Cloud AI 100 for real-time detection of people, vehicles, watchlist matches, and threats.

  3. 3

    Act

    Alerts flow to your team and integrated security systems in real time.

Why Qualcomm + Kognition

Why Qualcomm + Kognition AI?

  • Power-efficient AI

    High performance per watt makes always-on analytics practical in edge closets and compact enclosures.

  • Works with existing cameras

    No rip-and-replace: Cloud AI 100 accelerators add inference capacity to the camera estate you already own.

  • Distributed by design

    Put inference where your sites are—branch facilities and remote buildings get the same real-time AI as headquarters.

  • Scales with your estate

    Add accelerators as camera counts grow—capacity scales without re-architecting the platform.

Use cases

Use cases

Where efficient edge inference matters most

Distributed enterprises

Branch offices and remote facilities run real-time detection locally on compact edge hardware.

Commercial real estate

Bring intelligent video to buildings where server rooms are small and power budgets matter.

Industrial & logistics

Warehouses and plants get always-on safety and security analytics at the edge of the network.

Bring efficient AI to your edge

See Kognition inference running on Qualcomm Cloud AI 100.

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