Multi-Tenant GPU
Multi-tenant GPU refers to the practice of sharing GPU resources across multiple independent customers (tenants) while maintaining strict isolation between them. Each tenant operates as if they have dedicated resources, with separate billing, API access, usage tracking, and security boundaries — all running on shared GPU infrastructure.
Multi-tenancy is essential for data center operators who want to maximize GPU utilization and revenue. Without multi-tenancy, each customer would need dedicated GPUs, leading to low utilization rates and higher costs. Multi-tenant GPU orchestration allows operators to serve many customers efficiently from a shared pool.
Effective multi-tenant GPU systems require several capabilities: tenant isolation (preventing data leakage between tenants), fair resource scheduling (ensuring one tenant doesn't starve others), per-tenant billing (accurate usage metering), and access controls (managing which models each tenant can use).
Hoonify AI's platform provides multi-tenant GPU management through TurbOS orchestration. Operators can configure per-tenant GPU quotas, rate limits, model access controls, and billing — all managed through the admin portal.
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