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AI Glossary

Multi-Tenancy

An architecture where a single platform instance serves multiple isolated organizational units or customers.

TL;DR

  • —An architecture where a single platform instance serves multiple isolated organizational units or customers.
  • —Understanding Multi-Tenancy is critical for effective AI for companies.
  • —Remova helps companies implement this technology safely.

In Depth

Multi-tenancy in enterprise AI allows a single deployment to serve multiple departments, teams, or subsidiaries with strict data and cost isolation between them. Each tenant gets independent budgets, policies, model access, and audit logs with zero cross-contamination.

Related Terms

Role-Based Access Control (RBAC)

A security model that restricts system access based on organizational roles assigned to users.

AI Governance

The framework of policies, processes, and controls that guide responsible AI development and usage within organizations.

Department Management

Organizational hierarchies within AI platforms that mirror company structure for access and budget control.

AI FinOps

The practice of managing and optimizing AI and LLM costs through financial governance, budgeting, and usage analytics.

Knowledge Hub

Glossary FAQs

Multi-Tenancy is a fundamental concept in the AI for companies landscape because it directly impacts how organizations manage an architecture where a single platform instance serves multiple isolated organizational units or customers.. Understanding this is crucial for maintaining AI security and compliance.
Remova's platform is built to natively manage and optimize Multi-Tenancy through our integrated governance layer, ensuring that your organization benefits from this technology while mitigating its inherent risks.
You can explore our full AI for companies glossary, which includes detailed definitions for related concepts like Role-Based Access Control (RBAC) and AI Governance.

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