📌 Event: A guide to multi-tenancy architectures in ML – webinar by Superwise
Join us on June 28th Why join this webinar?Your DS team just let you know that instead of one model serving predictions for all your customers, from here on out each customer will have their own separate model. Now your MLOps team needs to support multiple models spanning, training, validation, serving, and monitoring – your pipeline just became x10 more complex than it was just a day ago, and scaling your architecture means more than just adding a replica. This session will cover architectural considerations for multi-tenancy in ML, best practices in traditional software engineering that can be copy/pasted over to MLOps, as well as new considerations unique to ML:
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