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Optimized Computing Solutions for Edge Applications

  • Highly scalable solutions: Optimize cost and performance
  • Compact, low power AI computing: Meet the size, weight, and power (SWaP) constraints
  • I/O flexibility: Use the right I/O interfaces for specific applications
  • Industrial-grade reliability: Build environmentally-hardened solutions
ASK AN EXPERT

Ask An Expert

Artificial intelligence (AI) at the edge is in high demand for many embedded applications, especially those requiring faster response times than cloud AI can deliver, like real-time video analytics and autonomous mobile robots. OEMs, ODMs, and systems integrators who need to optimize around AI performance, budget, power consumption, and space limit constraints at the edge should evaluate ADLINK Deep Learning Acceleration Platforms (DLAP), combined with the NVIDIA® Jetson™ family.

Some of the primary features include:

  • Highly scalable solutions: Optimize cost and performance
  • Compact, low power AI computing: Meet the size, weight, and power (SWaP) constraints
  • I/O flexibility: Use the right I/O interfaces for specific applications
  • Industrial-grade reliability: Build environmentally-hardened solutions

How Can We Help You Today?

ADLINK Differences

Industry-Leading R& Investment

>30% of employees in engineering functions

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Award-Winning Technology

2018 Edge Computing Company of the Year

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Focus on diversity

45 managers representing 16 nationalities

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Preventing Costly Downtime

Smart Gateways Enable Monitoring of Water Quality in Near Real-time.

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Making Pallets Talk

Smart Pallets Advance Efficiency of Warehouse Logistics

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Improving Patient Experience

Panel Computers Increase Productivity for Medical Imaging Facilities

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