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AI Glossary

On-Premises AI

AI deployment where all infrastructure, models, and data processing occur within an organization's own facilities.

TL;DR

  • —AI deployment where all infrastructure, models, and data processing occur within an organization's own facilities.
  • —Understanding On-Premises AI is critical for effective AI for companies.
  • —Remova helps companies implement this technology safely.

In Depth

On-premises AI deployment keeps all components — the governance layer, AI models, and data — within the organization's controlled infrastructure. This provides maximum data security, supports air-gapped environments, and ensures compliance with the strictest data residency requirements. Organizations can run open-source models like Llama and Mistral locally.

Related Terms

Data Sovereignty

The principle that data is subject to the laws and governance of the jurisdiction where it is collected or processed.

Zero-Retention Policy

An architecture where no user conversation data is stored on servers, only existing in the user's browser.

AI Governance

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

Federated Learning

A machine learning approach where models are trained across multiple devices without sharing raw data.

Knowledge Hub

Glossary FAQs

On-Premises AI is a fundamental concept in the AI for companies landscape because it directly impacts how organizations manage ai deployment where all infrastructure, models, and data processing occur within an organization's own facilities.. Understanding this is crucial for maintaining AI security and compliance.
Remova's platform is built to natively manage and optimize On-Premises AI 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 Data Sovereignty and Zero-Retention Policy.

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