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Stellar inference speed via AutoNAS (Practical AI #148)
Sep 7, 2021 · 42 min · 41.0 MB
0:00-42:15
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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!
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Featuring:
- Yonatan Geifman – Website, GitHub, X
- Chris Benson – Website, GitHub, LinkedIn, Bluesky, 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
Something missing or broken? PRs welcome!
Join the discussion
changelog.zulipchat.comChangelog++
changelog.comRudderStack
rudderstack.comSignalWire
signalwire.comFastly
fastly.comWebsite
yonatangeifman.comGitHub
github.comX
x.comWebsite
chrisbenson.comGitHub
github.comLinkedIn
linkedin.comBluesky
bsky.appX
x.comWebsite
datadan.ioGitHub
github.comX
x.comDeci
deci.aiWhite paper
info.deci.aiPRs welcome!
github.com