Enabling Private High-Performance Production AI Inference with NVIDIA Confidential Computing
<img width="768" height="432" src="https://developer-blogs.nvidia.com/wp-content/uploads/2024/12/cybersecurity-graphic-1-768x432.png" class="webfeedsFeaturedVisual wp-post-image" alt="" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" srcset="https://developer-blogs.nvidia.com/wp-content/uploads/2024/12/cybersecurity-graphic-1-768x432.png 768w, https://developer-blogs.nvidia.com/wp-content/uploads/2024/12/cybersecurity-graphic-1-300x169.png 300w, https://developer-blogs.nvidia.com/wp-content/uploads/2024/12/cybersecurity-graphic-1-625x352.png 625w, https://developer-blogs.nvidia.com/wp-content/uploads/2024/12/cybersecurity-graphic-1-179x101.png 179w, https://developer-blogs.nvidia.com/wp-content/uploads/2024/12/cybersecurity-graphic-1-1536x864.png 1536w, https://developer-blogs.nvidia.com/wp-content/uploads/2024/12/cybersecurity-graphic-1-645x363.png 645w, https://developer-blogs.nvidia.com/wp-content/uploads/2024/12/cybersecurity-graphic-1-660x370.png 660w, https://developer-blogs.nvidia.com/wp-content/uploads/2024/12/cybersecurity-graphic-1-500x281.png 500w, https://developer-blogs.nvidia.com/wp-content/uploads/2024/12/cybersecurity-graphic-1-160x90.png 160w, https://developer-blogs.nvidia.com/wp-content/uploads/2024/12/cybersecurity-graphic-1-362x204.png 362w, https://developer-blogs.nvidia.com/wp-content/uploads/2024/12/cybersecurity-graphic-1-196x110.png 196w, https://developer-blogs.nvidia.com/wp-content/uploads/2024/12/cybersecurity-graphic-1-1024x576.png 1024w, https://developer-blogs.nvidia.com/wp-content/uploads/2024/12/cybersecurity-graphic-1-960x540.png 960w, https://developer-blogs.nvidia.com/wp-content/uploads/2024/12/cybersecurity-graphic-1.png 1920w" sizes="(max-width: 768px) 100vw, 768px" title="cybersecurity-graphic" />As large language model (LLM) inference increasingly processes sensitive information and proprietary model context across personal, enterprise, and regulated...<img width="768" height="432" src="https://developer-blogs.nvidia.com/wp-content/uploads/2024/12/cybersecurity-graphic-1-768x432.png" class="webfeedsFeaturedVisual wp-post-image" alt="" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" loading="lazy" srcset="https://developer-blogs.nvidia.com/wp-content/uploads/2024/12/cybersecurity-graphic-1-768x432.png 768w, https://developer-blogs.nvidia.com/wp-content/uploads/2024/12/cybersecurity-graphic-1-300x169.png 300w, https://developer-blogs.nvidia.com/wp-content/uploads/2024/12/cybersecurity-graphic-1-625x352.png 625w, https://developer-blogs.nvidia.com/wp-content/uploads/2024/12/cybersecurity-graphic-1-179x101.png 179w, https://developer-blogs.nvidia.com/wp-content/uploads/2024/12/cybersecurity-graphic-1-1536x864.png 1536w, https://developer-blogs.nvidia.com/wp-content/uploads/2024/12/cybersecurity-graphic-1-645x363.png 645w, https://developer-blogs.nvidia.com/wp-content/uploads/2024/12/cybersecurity-graphic-1-660x370.png 660w, https://developer-blogs.nvidia.com/wp-content/uploads/2024/12/cybersecurity-graphic-1-500x281.png 500w, https://developer-blogs.nvidia.com/wp-content/uploads/2024/12/cybersecurity-graphic-1-160x90.png 160w, https://developer-blogs.nvidia.com/wp-content/uploads/2024/12/cybersecurity-graphic-1-362x204.png 362w, https://developer-blogs.nvidia.com/wp-content/uploads/2024/12/cybersecurity-graphic-1-196x110.png 196w, https://developer-blogs.nvidia.com/wp-content/uploads/2024/12/cybersecurity-graphic-1-1024x576.png 1024w, https://developer-blogs.nvidia.com/wp-content/uploads/2024/12/cybersecurity-graphic-1-960x540.png 960w, https://developer-blogs.nvidia.com/wp-content/uploads/2024/12/cybersecurity-graphic-1.png 1920w" sizes="auto, (max-width: 768px) 100vw, 768px" title="cybersecurity-graphic" /><p>As large language model (LLM) inference increasingly processes sensitive information and proprietary model context across personal, enterprise, and regulated settings, data must be processed inside a trusted environment. NVIDIA Confidential Computing (CC) provides a pathway for running these workloads securely using memory-encrypted confidential virtual machines (CVMs), confidential GPUs…</p>
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