6 Total
3 High severity
3 Medium severity
0 Low severity
Summary

This document establishes NVIDIA's Acceptable Use Policy for the NIM AI inference platform, specifying prohibited uses and operational restrictions applicable to all users of NVIDIA's AI models and APIs. The policy prohibits uses including generation of illegal content, facilitation of violence or weapons development, identity impersonation, circumvention of safety controls, and use of outputs to train competing AI models without authorization. Violations authorize NVIDIA to suspend or terminate user access to the platform.

Technical / Legal Breakdown

This document governs the acceptable use of NVIDIA NIM (AI inference microservices) and related AI products under NVIDIA's enterprise software terms, establishing conditions under which users may access and deploy AI models and APIs. The agreement states that users may not use the services for prohibited purposes including generating content that violates applicable law, facilitating weapons of mass destruction, bypassing AI safety measures, or engaging in deceptive practices, and the terms authorize NVIDIA to suspend or terminate access for violations. The agreement asserts broad discretion for NVIDIA to determine what constitutes a violation and to act on that determination without prior notice, which is operationally distinct from frameworks that require notice-and-cure periods before termination. The policy engages the EU AI Act, which imposes obligations on providers and deployers of AI systems depending on risk classification, and may require evaluation under FTC Act standards regarding unfair or deceptive practices in AI-generated content. Compliance teams deploying NIM in regulated sectors including financial services, healthcare, or critical infrastructure should assess whether their specific use cases align with both NVIDIA's enumerated permitted uses and applicable sector-specific AI governance requirements.

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High — 3 provisions
Medium — 3 provisions

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Cross-platform context

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Mapped Governance Frameworks

California AB 2013 AI Training Data Transparency
US-CA
View official text ↗
Archival ProvenanceSource & Archival Record
Last Captured June 12, 2026 01:23 UTC
Capture Method Automated scheduled archival capture
Document ID CA-D-000821
Version ID CA-V-003736
SHA-256 5109ae349a0bc99a89a51aed9bd3961b5508610c07d5bb484894ced9d1fb67a4
✓ Snapshot stored ✓ Text extracted ✓ Change verified ✓ Hash verified

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