Founded in 2017 and headquartered in New York and San Francisco, Weights & Biases is an ML experiment tracking and visualization platform used by 500,000+ data scientists, offering dashboards, Sweeps hyperparameter search, model registry and team collaboration.
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Launched in 2021 by Google Cloud (Mountain View, US), Vertex AI is an enterprise machine learning platform deeply integrating Gemini multimodal models, Model Garden, AutoML and in-house TPUs across the full AI workflow.
Amazon SageMaker is the fully managed machine learning platform launched by AWS in 2017, covering the end-to-end ML lifecycle from data labeling, training and AutoML to deployment and monitoring for enterprise AI workloads.
Neptune.ai is a professional ML experiment tracking and metadata management platform headquartered in the United States. Through structured metadata, team workspaces and model registry capabilities, it helps data science teams systematically record, compare and collaborate on ML experiments.
Kubeflow is a Kubernetes machine learning platform open-sourced by Google in 2017 and now a CNCF project, covering model training, tuning and serving across the full MLOps lifecycle with Pipelines, Katib and KServe.
Dataiku is an enterprise data science platform founded in 2013 in Paris, built on the "Everyday AI" idea of multi-role collaboration, with visual low-code modeling plus MLOps governance serving Fortune 500 companies.