Design a multi-tenant model serving platform
WHAT IT TESTS: multi-tenant ML serving design. OUTLINE: share infrastructure to cut cost while enforcing tenant data isolation, fair resource allocation against noisy neighbors, and per-tenant performance via quotas and autoscaling.
WHAT IT TESTS: whether you can balance cost-saving sharing against isolation and fairness. ANSWER OUTLINE: pack multiple tenants onto shared serving infrastructure to raise utilization and cut cost, but solve three problems. Security: strictly isolate each tenant's data, models, and requests via authentication, authorization scoped per tenant, and namespace or network separation. Resource isolation: prevent noisy neighbors with quotas, limits, and scheduling so one tenant cannot starve others.
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- #multi-tenancy
- #model-serving
- #resource-isolation
- #cost-optimization
- #cloud
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