Efficient utilization
Minimize idle GPUs and maximize infrastructure ROI by securely sharing resources across teams
Why multi-tenancy matters for AI infrastructure
Clear cost attributionAccurately track usage by team, project, or user, ensuring transparent and fair chargebacks
Security without sacrificeIsolate sensitive workloads and data within shared clusters, protecting privacy, without having to over-provision
Our approach to multi-tenancy
- RESOURCE SEGREGATIONFull-stack isolation
Choose the level of segregation, including strict multi-tenancy which covers compute, storage and networking
- SECURE OPERATIONSUnique workspaces
Every tenant or team operates securely in its own workspace, keeping models, data and apps completely private
- GRANULAR CONTROLAutomated quotas
Set and enforce resource quotas, per team, project or user, ensuring fair sharing and preventing runaway costs
Multi-tenancy in action
Empower every team to build fast, without compromising on security.
Maximize operational efficiency
Unified managementManage resources across tenants via a single console and monitor usage centrally with ease
Granular cost-trackingAttribute infrastructure costs precisely to the right team or user, improving budgeting accuracy and transparency
Audit & complianceComprehensive observability and auditing capabilities ensure compliance, security, and operational clarity
Proven industry use cases
Enterprise AI Teams
Empower AI initiatives across multiple teams, projects, and geographies.
