Stellar inference speed via AutoNAS
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!Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!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.comFeaturing:Yonatan Geifman – Website, GitHub, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:DeciAn Introduction to the Inference Stack and Inference Acceleration TechniquesDeci and Intel Collaborate to Optimize Deep Learning Inference on Intel’s CPUsDeciNets: A New Efficient Frontier for Computer Vision ModelsWhite paperSomething missing or broken? PRs welcome! ★ Support this podcast ★