Manage teams

Create and manage team accounts in Runpod. Invite members, assign roles, and collaborate on Pods, endpoints, and other resources.

Teams let multiple users collaborate on Runpod resources under a shared account. Any personal account can be converted to a team account to enable member management and role-based access control.

Create a team account

1. Open the Team page

   Navigate to Create team in the Runpod console.

2. Convert your account

   Click Convert to a Team Account. Enter a team display name, check the acknowledgment checkbox, and click Convert to a Team Account to confirm.

To delete your team, scroll to the bottom of the Team page and click Delete Team. This reverts your account to a personal account. All members are removed, but your resources remain unchanged.

Invite team members

Only admins can invite new members. Each invitation is tied to a specific email address and can only be accepted by the user with that address.

1. Open the Team page

   Go to the Team page in the Runpod console.

2. Send the invitation

   In the Members section, click Invite new member. Select a role, enter the member’s email address, and click Create Invite.

3. Share the invitation link

   The invitation link appears under Pending Invites. Copy it and share it with the invitee, or they will receive an email with a direct link to accept.

To invite multiple members at once, click Bulk Invite. Upload a CSV file or paste content directly using the format role,email, one member per line. A header row is detected automatically. Click Send Invites when done.

Invitation links remain active until used or manually revoked.

Join a team

When invited to a team, you’ll receive an invitation link from an admin.

1. Open the invitation link

   Click the link provided by the team admin.

2. Accept the invitation

   Select Join Team to accept.

Your account gains access to the team’s resources based on the role assigned to you.

Next steps

• Create API keys for programmatic access to Runpod services.
• Deploy a Pod to start using GPU resources.
• Set up Serverless endpoints for scalable AI inference.