Unlocking Secure AI Workloads with Confidential VMs
As the AI landscape continues to evolve, the need for secure and confidential computing has become a top priority. This move reflects broader industry trends towards prioritizing data protection and security in cloud computing. At the OpenInfra Summit Europe 2025, NVIDIA emphasized the importance of combining Kata Containers with Confidential Computing to preserve bare-metal GPU performance while preventing cloud operators from inspecting sensitive model and data. Kata Containers, an open-source project, provides lightweight VMs for containers, using hardware virtualization technology to launch a separate VM for each container. This approach offers the performance benefits of containers along with the security and workload isolation of VMs. Confidential Computing, on the other hand, brings in-memory data and application encryption, ensuring that even the cloud provider cannot access sensitive information. ...