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Deploying Proprietary Models Securely with NVIDIA Confidential Computing on Self-Hosted Kubernetes

Deploying Proprietary Models Securely with NVIDIA Confidential Computing on Self-Hosted Kubernetes

Table of Contents

Deploying Proprietary Models Securely with NVIDIA Confidential Computing on Self-Hosted Kubernetes

Introduction
Scope
Primary Roles
Architecture Summary
Trust & Threat Model
Required Capabilities
Platform and Hardware Requirements
Workload and Model Lifecycle
Attestation and Key-Release Flow
Network and Service Integration
Operations and Failure Handling
Sizing and Performance
Reference Implementations
Deployment Pattern
Limitations and Open Questions
Conclusion

Appendix

Appendix A. Validated Configuration Profile Template
Appendix B. Sample Ownership Matrix
Appendix C. Component Responsibilities and Interfaces
Appendix D. Lifecycle and Change Control
Appendix E. Failure Modes and Acceptance Tests
Appendix F. Deployment Detail Checklist

Notices

Notices

Index

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Last updated on Jun 01, 2026.