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The Ins and Outs of Designing an AI Inference Computer

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Manage episode 322335968 series 2990367
Content provided by Thomas Riley. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Thomas Riley or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Dive into the design behind Premio's AI Edge Inference Computer with Dustin Seetoo, Director of Product Marketing.

Design upgrades on flagship RCO-6000-CFL edge computer addresses key challenges for even more performance and modular flexibility at enterprise scale. As distributed edge computing solutions shift into more remote, mobile, and unstable conditions closer to IoT sensors, next generation designs require versatile engineering to support real-time processing and inference calculations in conditions prohibitive to traditional PC designs. Premio’s 30+ years of engineering expertise brings an innovative modular approach to industrial-grade compute and system-level design with its “EDGEBoost Nodes.” These new nodes address current demands for powerful performance acceleration needed to push industrial-grade computers to process and analyze large volumes of data for rugged edge computing. Specific computer vision and edge computing applications can benefit from real-time processing capabilities with the latest hardware acceleration technologies by incorporating Premio’s modular AI Edge Inference Computers.

  continue reading

248 episodes

Artwork
iconShare
 
Manage episode 322335968 series 2990367
Content provided by Thomas Riley. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Thomas Riley or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Dive into the design behind Premio's AI Edge Inference Computer with Dustin Seetoo, Director of Product Marketing.

Design upgrades on flagship RCO-6000-CFL edge computer addresses key challenges for even more performance and modular flexibility at enterprise scale. As distributed edge computing solutions shift into more remote, mobile, and unstable conditions closer to IoT sensors, next generation designs require versatile engineering to support real-time processing and inference calculations in conditions prohibitive to traditional PC designs. Premio’s 30+ years of engineering expertise brings an innovative modular approach to industrial-grade compute and system-level design with its “EDGEBoost Nodes.” These new nodes address current demands for powerful performance acceleration needed to push industrial-grade computers to process and analyze large volumes of data for rugged edge computing. Specific computer vision and edge computing applications can benefit from real-time processing capabilities with the latest hardware acceleration technologies by incorporating Premio’s modular AI Edge Inference Computers.

  continue reading

248 episodes

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