Amazon SageMaker

Enterprise ML and AI platform covering PAI-Studio visual workflow builder, PAI-DSW Jupyter notebooks, PAI-EAS elastic inference serving, PAI-Blade inference optimisation, and integration with Alibaba's Qwen foundation models

End-to-end platform for building and deploying ML models with automated ML, designer (drag-and-drop), managed compute clusters, MLflow tracking, and responsible AI dashboards

End-to-end SaaS analytics platform unifying Data Factory, Synapse (Warehouse, Data Engineering, Real-Time Intelligence, Data Science), Power BI, Activator, and Purview around OneLake — a single cross-workload Delta-Parquet data lake, with capacity-based licensing

End-to-end AI platform (formerly MLflow + Mosaic ML) for training, fine-tuning, deploying, and monitoring foundation models and custom ML models on the Lakehouse

Hosted MLflow with managed tracking server, model registry, and deployment integration — open-source ML lifecycle tooling tightly coupled to Databricks Unity Catalog and Mosaic AI

Unified platform to build, deploy, and scale ML models with AutoML, custom training on TPUs and GPUs, model registry, pipelines, feature store, and generative AI studio

End-to-end AI development platform with AutoML, data labelling, distributed training on Ascend and GPU clusters, and one-click deployment to cloud or edge

Enterprise AI studio for training, validating, tuning, and deploying foundation models and traditional ML models, with IBM's Granite model family, Hugging Face integration, prompt lab, synthetic data generation, and governance via watsonx.governance

Managed MLOps platform (formerly Open Data Hub) for training, serving, and monitoring ML models on OpenShift with JupyterHub, KServe, Kubeflow, and PyTorch operators

Fully managed machine learning platform with JupyterLab notebooks, conda-environment library, job orchestration, model deployments as HTTPS endpoints, feature store, and model catalog — integrated with Autonomous Database and Object Storage for end-to-end ML workflows

AI layer integrated across Salesforce products: predictive lead scoring, opportunity scoring, generative AI for emails and summaries

Developer framework for building data applications in Python, Java, and Scala that run inside Snowflake