Simplify Edge AI Deployment

Performing AI workloads at the edge alleviates cost, security, and latency concerns associated with transferring data to the cloud for processing. However, determining IT infrastructure for edge AI applications can be a costly, time-consuming and laborious experimental process. It is unsurprising that implementation is the most-cited challenge by early AI adopters, according to Deloitte State of AI in the Enterprise, 2nd Edition.

To relieve the burden on system developers, OEMs, and systems integrators, ADLINK is offering comprehensive solutions including hardware, software and consultancy services. Download the solution brief to learn how to maximize the innovation and productivity gains from AI with ease.

Key Takeaways

  • Key considerations for edge AI deployment
  • 3 steps to optimize edge AI deployment
  • 3 benefits of optimized edge AI deployment
  • Optimize edge AI from day 1

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