> ## Documentation Index > Fetch the complete documentation index at: https://docs.vantedge.run/llms.txt > Use this file to discover all available pages before exploring further. # Workspaces > Project containers that organize resources within your organization ## What are Workspaces? Workspaces are **project containers** within your organization that provide resource isolation and team collaboration boundaries. Think of them as dedicated environments for specific projects, applications, or deployment stages. ## Key Benefits **🔒 Resource Isolation** Resources in different workspaces are completely separate - no cross-workspace interference. **🏗️ Project Organization** Group related deployments, experiments, and configurations in logical containers. **👥 Team Collaboration** Share workspaces with specific team members and assign granular permissions. **🔄 Environment Separation** Use different workspaces for development, staging, and production environments. ## Workspace Structure ``` Organization: "AI Startup" ├── Workspace: "Model Training" │ ├── Kubernetes clusters for training │ ├── Experiment configurations │ └── Training datasets and secrets ├── Workspace: "Production API" │ ├── Model deployment services │ ├── AI gateways for traffic routing │ └── Production monitoring and alerts └── Workspace: "Research & Development" ├── Experimental models ├── A/B testing configurations └── Prototype deployments ``` ## Workspace Types ### Default Workspaces * Every organization has **exactly one** default workspace * Personal orgs: "Personal" workspace * Team orgs: "Default" workspace (can be renamed) * Cannot be deleted (organization safety) ### Project Workspaces * Created manually for specific projects * Custom names and descriptions * Can be deleted when no longer needed * Full team collaboration features ### Environment Workspaces * Separate workspaces for different stages * Common pattern: dev/staging/production * Isolated secrets and configurations * Different access controls per environment ## Workspace Roles | Role | Create Resources | Manage Secrets | Add Members | Delete Workspace | | ---------- | ---------------- | -------------- | ----------- | ---------------- | | **Viewer** | ❌ | ❌ | ❌ | ❌ | | **Member** | ✅ | ✅ | ❌ | ❌ | | **Admin** | ✅ | ✅ | ✅ | ❌ | | **Owner** | ✅ | ✅ | ✅ | ✅ | ## Managing Workspaces ### Workspace Overview The Workspaces page shows all your available workspaces with key information: Workspaces overview showing workspace cards with member counts and roles Each workspace card displays: * **Workspace name and type** (Default, Personal, Active) * **Member count** and your role (owner, admin, member, viewer) * **Resource counts** (integrations, clusters, etc.) * **Quick actions** (switch workspace, settings) ### Workspace Settings Click the settings icon to manage workspace configuration: Workspace settings dialog showing name, description, and danger zone options **Available settings:** * **Name and Description**: Update workspace details * **Member Management**: Add/remove team members * **Danger Zone**: Delete workspace (only if no resources exist) ## What Goes in a Workspace? **Deployments** * AI model deployments on Kubernetes * Web applications and APIs * Microservices and containers **Infrastructure** * Kubernetes clusters (dedicated or shared) * AI gateways for traffic management * MCP servers for AI protocols **Configuration** * Experiment definitions and A/B tests * Environment-specific secrets * Deployment configurations **Monitoring** * Performance metrics and alerts * Resource usage tracking * Error monitoring and logging *** Workspaces provide the organizational structure that makes complex AI projects manageable, secure, and scalable across your team.