CTO Panel: The Impact of Confidential Computing with Intel, Azure, AMD & NVIDIA
summary
Panelists explain that confidential computing means hardware-rooted trusted execution environments with measurement and attestation, now shipping as confidential VMs (AMD SEV family / SEV-SNP) and confidential GPUs (NVIDIA Hopper lineage) plus Azure confidential containers and SQL Always Encrypted. Use cases: edge AI, multi‑party clean rooms, protecting trained models and data-in-use. Remaining hurdles: seamless developer lift-and-shift, PCIe/CXL I/O standards (TDIS), attestation scale and supply‑chain HW/SW bills of materials. Adoption hits ~10% in 2–3 years, then may accelerate.
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chapters (7)
- 0:00Panel introductions
- 1:00Defining confidential computing
- 5:55Industry use cases
- 12:24Challenges and technical barriers
- 22:10Vision for the confidential cloud
- 23:49Attestation and code trust
- 30:23Adoption timeline and closing
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