Deploying models (to tractors π)
Alon from Greeneye and Moses from ClearML blew us away when they said that they are training 1000βs of models a year that get deployed to Kubernetes clusters on tractors. Yesβ¦ we said tractors, as in farming! This is a super cool discussion about MLOps solutions at scale for interesting use cases in agriculture.
Changelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!
Sponsors:
- Fastly β 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.com
- Changelog++ β You love our content and you want to take it to the next level by showing your support. Weβll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Letβs do this!
Featuring:
- Alon Klein Orback β X
- Moses Guttmann β
- Chris Benson β Website, GitHub, LinkedIn, X
- Daniel Whitenack β Website, GitHub, X
Show Notes:
Something missing or broken? PRs welcome!
β
Support this podcast β
Creators and Guests
