As AI continues to revolutionize industries, the demand for real-time insights and faster decision-making is at an all-time high. However, alongside this growth comes a significant challenge: securing sensitive data during AI model training and inference. In this webinar, we will explore how Confidential Computing is transforming AI security, using real-world insights from the U.S. Navy’s use case securing LLM workloads. In a groundbreaking POC, the U.S. Navy leveraged Confidential Computing to run secure AI operations on NVIDIA H100 Tensor Core GPUs, ensuring full data privacy without sacrificing performance. You'll gain a technical understanding of Confidential Computing on GPUs and how the Anjuna Seaglass platform integrates to secure AI workloads at scale. Learn how enterprises and government organizations can unlock secure, AI-driven insights—achieving measurable business value in as little as one hour. Whether you’re in defense, finance, healthcare, or any other sector leveraging AI, this session will show you how to secure your most critical data while maintaining the performance and flexibility your business demands.
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