DEEPX Edge AI Chip (DX Series)

DEEPX DX series is a family of low-power edge AI chips for on-device neural-network inference. The products target cameras, robots, vehicles and industrial devices that need real-time AI processing close to sensors rather than in the cloud.

Facts

  • Company: DEEPX
  • Type: AI Chip
  • Core: Edge inference
  • Function: Inference
  • Audience: Robot OEMs
  • Status: Commercial
  • Website: https://deepx.ai/products/dx-v3/

Specifications

  • Form Type: AI semiconductor
  • Architecture Type: NPU (neural processing unit)
  • Power Consumption: <5W
  • Deployment Target: edge devices

Market context

DEEPX Edge AI Chip is the DX-series low-power inference accelerator family for robots, cameras and embedded edge devices.

  • Target environment: Embedded robotics systems, smart cameras, AIoT devices, industrial vision hardware and edge-compute modules.
  • Workflow context: Local AI inference, vision processing, perception workloads and power-constrained embedded compute.
  • Customer context: Robot builders, camera manufacturers, edge-device makers and developers needing on-device inference instead of cloud processing.

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