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Stellar inference speed via AutoNAS
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Daniel Whitenack and Chris Benson

· 42 Minutes

PodcastPractical AI

Stellar inference speed via AutoNAS

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Yonatan Geifman of Deci makes Daniel and Chris buckle up, and takes them on a tour of the ideas behind his amazing new inference platform. It enables AI developers to build, optimize, and deploy blazing-fast deep learning models on any hardware. Don’t blink or you’ll miss it!

Sponsors:

  • RudderStack – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. 
  • SignalWire – Build what’s next in communications with video, voice, and messaging APIs powered by elastic cloud infrastructure. Try it today at signalwire.com and use code SHIPIT for $25 in developer credit. 
  • Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com

Featuring:

  • Yonatan Geifman – Website, GitHub, X
  • Chris Benson – Website, GitHub, LinkedIn, X
  • Daniel Whitenack – Website, GitHub, X

Show Notes:

  • Deci
  • An Introduction to the Inference Stack and Inference Acceleration Techniques
  • Deci and Intel Collaborate to Optimize Deep Learning Inference on Intel’s CPUs
  • DeciNets: A New Efficient Frontier for Computer Vision Models
  • White paper

Upcoming Events: 

  • Register for upcoming webinars here!

Original source

This story was published by Practical AI and written by Daniel Whitenack and Chris Benson. SyncAI.news shows a preview; the complete article is on the publisher's site.

Read the full story on share.transistor.fm

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