
Sign up to save your podcasts
Or


A lot of effort is put into the training of AI models, but, for those of us that actually want to run AI models in production, performance and scaling quickly become blockers. Nikita from MemSQL joins us to talk about how people are integrating ML/AI inference at scale into existing SQL-based workflows. He also touches on how model features and raw files can be managed and integrated with distributed databases.
Join the discussion
Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!
Sponsors:
Featuring:
Show Notes:
Something missing or broken? PRs welcome!
By Practical AI LLC4.4
185185 ratings
A lot of effort is put into the training of AI models, but, for those of us that actually want to run AI models in production, performance and scaling quickly become blockers. Nikita from MemSQL joins us to talk about how people are integrating ML/AI inference at scale into existing SQL-based workflows. He also touches on how model features and raw files can be managed and integrated with distributed databases.
Join the discussion
Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!
Sponsors:
Featuring:
Show Notes:
Something missing or broken? PRs welcome!

170 Listeners

303 Listeners

334 Listeners

306 Listeners

95 Listeners

110 Listeners

154 Listeners

227 Listeners

608 Listeners

274 Listeners

107 Listeners

54 Listeners

173 Listeners

35 Listeners

49 Listeners