Behind the Massive Scale Required for Content Recommendation – Conversations in the Cloud – Episode 252
Intel Conversations in the Cloud | Connected Social Media
English - August 06, 2021 08:11 - ★★★★★ - 1 ratingTechnology News Tech News cloud computing servers private public data center technology builders intel Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
In this Intel Conversations in the Cloud audio podcast: 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 […]
In this Intel Conversations in the Cloud audio podcast: 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:
twitter.com/taboola
Follow Jake on Twitter at:
twitter.com/jakesmithintel