MLflow Workspaces: Shared Deployment Without Separate Servers
Summary
MLflow Workspaces are now available, enabling shared MLflow deployments across multiple teams by adding a logical organization and permission layer. This allows teams to scope experiments, models, traces, prompts, AI Gateway resources, and artifacts within their own workspace.
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