Intel SGX does this by creating a trusted execution environment within the CPU. This allows user-level code from containers to allocate private regions of memory, called enclaves, to execute the application code.
With the Microsoft Azure confidential computing platform, you can deploy both Windows and Linux virtual machines (VMs), leveraging the security and confidentiality provided by Intel SGX. This tutorial will show you how to set up Intel SGX nodes on an Azure Kubernetes Services (AKS) cluster.
Finally, we will demonstrate how to accelerate model training and inference using the Intel Optimization for XGBoost, Intel oneAPI Data Analytics Library (oneDAL), and Intel Extension for Scikit-learn.
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