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GPU-Enhanced Confidential Computing—Unlocking New Privacy Preserving AI Scenarios in Azure

June 6, 2:30 PM - 3:00 PM
Imperial Room B

Microsoft Azure recently started the gated preview of Azure confidential VMs with NVIDIA H100 Tensor Core GPUs. This session will delve into the collaborative efforts between Azure and NVIDIA Confidential Computing to showcase how this cutting-edge technology paves the way for new confidential AI scenarios, including retrieval augmented generation (RAG) and federated learning (FL).

About the speakers

Krishnaprasad Hande

Krishnaprasad Hande

Technical Program Manager, Microsoft

Krishnaprasad develops cutting-edge and security-enhanced infrastructure for Confidential AI accelerators harnessing the power of hardware-based Trusted Execution Environment (TEE) capable GPUs (H100/B100) within the Azure ecosystem.

Emily Sakata

Emily Sakata

Senior Product Manager, Confidential Computing, NVIDIA

Emily Sakata is a Senior Product Manager for Data Center GPU at NVIDIA. Her work focuses on bringing confidential computing and secure AI on accelerated computing to market. She has more than 10 years of experience in cybersecurity and security product management roles focusing on data protection, secure development, and security compliance in software and industrial product companies.