Team
Overview
4min
Vast.ai's Teams feature extends our powerful GPU compute services to collaborative environments. It allows multiple users to work together seamlessly in a shared space, managing serverless workers for AI Inference and GPU computing tasks collectively.
- Collaborative Environment: Enable teams to work together in a shared space, managing resources and tasks collectively.
- Resource Allocation & Management: Team administrators can manage access among team members, ensuring efficient use of GPU workers. (In the future resource allocation will also be in play)
- Consolidated Billing: Simplifies the financial management by consolidating usage and billing across the team.
- Performance Metrics & Access Controls: Each team member can access shared metrics and logs, with custom access controls set by team owners.
- Creating a Team: To create a new team, navigate to the Teams section in your dashboard. Follow the on-screen instructions to set up your team.
- Inviting Members: Once your team is created, you can invite other users to join. Invitations can be sent via email to already existing users. (Will be updated later to include registration process)
- Managing Resources: After forming your team, you can start setting up shared permissions and rights. Team owners have full control over these settings.
- Collaborating on Projects: With your team and resources in place, you can begin collaborative projects, leveraging the power of shared GPU computing.
- Monitoring and Adjusting: Utilize the platform's monitoring tools to track team performance and resource usage. Adjust allocations and settings as needed to optimize your team's workflow.
- Regularly review resource allocation to ensure it meets the current needs of your team.
- Encourage open communication within the team to make the most of the collaborative features.
- Utilize the consolidated billing feature to simplify your team's financial management.
The Teams feature at Vast.ai is designed to bring a new level of collaboration and efficiency to your GPU computing tasks. By bringing together the power of our Autoscaling system with collaborative tools, your team is well-equipped to tackle complex, dynamic workloads effectively.
Updated 18 Dec 2024
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