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Transitioning CUDA Workloads to Confidential Containers
The chapter explores the ease of migrating CUDA workloads to confidential computing environments without code modifications, emphasizing the shift to confidential containers. It discusses the importance of GPUs in confidential computing for increased computing power in complex AI tasks and the flexibility of different runtime classes like kata .cpu or kata GPU. Additionally, it highlights the security advantages and necessary precautions in using confidential computing, along with discussing projects like Kata and Confidential Containers with the involvement of major tech companies.