Stevanato Group Launches AI Platform
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Google Cloud AI Platform Pipelines: Simplifying Machine Learning Development with MLOps
Google’s Cloud AI Platform Pipelines (beta) brings MLOps to Google Cloud, letting teams deploy repeatable, auditable ML pipelines on GKE using Kubeflow Pipelines or TensorFlow Extended SDKs.
Google Cloud AI Platform Pipelines: Beta Launch Explained
Google Cloud Platform announced the beta launch of Cloud AI Platform Pipelines, a managed ML workflow product built on TensorFlow Extended (TFX) and Kubeflow Pipelines (KFP). Here is what DevOps and MLOps engineers need to know.
Google Cloud AI Platform: Enhanced Training and Inference Capabilities
Google announced significant updates to its Cloud AI Platform, introducing custom container support for training, flexible machine types, GPU/TPU-accelerated inference, and BigQuery prediction logging — making ML model development and deployment more flexible for DevOps and ML engineering teams.