Why Artificial Intelligence on the Edge

Machine learning in the Cloud

  • Highly Efficient (Performance / W)
  • High costs
  • 1000s of Classes
  • Large Workloads
  • Varying accuracy
  • Server Form Factor

Machine learning on the Edge

  • Extreme low Power - 1W-5W
  • Low costs
  • <10 Classes
  • Frame Rate: 15-30fps
  • Varying accuracy
  • Custom form factor

Why Artificial Intelligence on the Edge

Intel Atom® X5/X7/Celeron® / Pentium®

  • Low power consumption
  • Quad Core 64 bit x86 architecture
  • OS Agnostic
  • GPU Integrated
  • Rich I/O

Intel® Cyclone® 10 GX

  • Programmable Versatile Architecture
  • Super Rich I/O
  • Good for CPU offload
  • Real Time High-Speed Signal Analysis

Intel® Movidius™ Myriad X

  • Video Processing Unit (Hardware Neural network)
  • Optimized for Machine learning
  • Real Time Pattern Recognition

Empower deep learning with UP AI Core X powered by Intel® Movidius™ Myriad X on any computing platform with mPCIe expansion

Empower deep learning with UP AI Core XM 2280 powered by Intel® Movidius™ Myriad X on any computing platform with M.2 2280 B+M/ M.2 22 B+M/ M.2 2230 E key expansion

empower deep learning with 3x Intel® Movidius™ Myriad X VPU and add th lates Intel ATOM x5/x7 SoC

Enable artificial intelligence with Intel Cyclone 10Gx FPGA and add the latest Intel ATOM x5/x7 SoC

Enable 4x GbLAN with Intel i211 (optional Inel i210 spporting LSM)with the latest Intel ATOM x5/x7 SoC

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