You’re correct, this is most likely due to temporary GPU capacity constraints in europe-west1, so the best workaround is to try other zones within the region or use a nearby region where GPU capacity is more readily available.
Hi @oye ,You’re hitting a cloud capacity issue, not a Databricks configuration problem. The Databricks GCP GPU docs list A2 and G2 as the supported GPU instance families. A3/H100 is not in the supported list: https://docs.databricks.com/gcp/en/comput...
Hi @rc10000,Lakeflow Connect is mentioned in the exam guide under training, but it’s more about the ingestion concepts. These topics come under the Development & Ingestion section. I’d suggest following the official exam guide first and Databricks Ac...
Hi @fbs342 ,Try pointing MLflow to the Unity Catalog registry in your deploy code with mlflow.set_registry_uri("databricks-uc"), then update serving_a to reference the UC model before redeploying the endpoint. After that, move any dependencies you pr...
Since today’s the last day, how are you planning to handle the submission?Maybe the local deployment option could be a workable alternative for sharing your demo.
