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Behind the Massive Scale Required for Content Recommendation - CitC Episode 252

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Manage episode 299242229 series 1180916
Indhold leveret af Intel Corporation. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Intel Corporation eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
Taboola’s Ariel Pisetzky joins host Jake Smith to talk about using artificial intelligence (AI) for personalized content recommendations at massive scale, reaching up to 4 billion web pages a day. Ariel discusses why Taboola runs their services on their own on-prem infrastructure of over 10,000 servers with Intel processors, many of which are dedicated to inferencing workloads. Ariel also goes into detail about some of the performance optimizations the company has found gen-over-gen with increased memory access. Jake and Ariel close the episode by talking about the open source community and how to respond to a crisis, like a fire breaking out inside your data center. Follow Taboola on Twitter at: https://twitter.com/taboola Follow Jake on Twitter at: https://twitter.com/jakesmithintel
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296 episoder

Artwork
iconDel
 
Manage episode 299242229 series 1180916
Indhold leveret af Intel Corporation. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Intel Corporation eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
Taboola’s Ariel Pisetzky joins host Jake Smith to talk about using artificial intelligence (AI) for personalized content recommendations at massive scale, reaching up to 4 billion web pages a day. Ariel discusses why Taboola runs their services on their own on-prem infrastructure of over 10,000 servers with Intel processors, many of which are dedicated to inferencing workloads. Ariel also goes into detail about some of the performance optimizations the company has found gen-over-gen with increased memory access. Jake and Ariel close the episode by talking about the open source community and how to respond to a crisis, like a fire breaking out inside your data center. Follow Taboola on Twitter at: https://twitter.com/taboola Follow Jake on Twitter at: https://twitter.com/jakesmithintel
  continue reading

296 episoder

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