From the source
Summary by forck
Microsoft and Intel are working together to give organizations a more consistent foundation for running AI workloads under sovereignty requirements, from silicon and infrastructure to cloud, data and AI.
- The two companies say sovereignty requirements vary by workload, so the right level of control depends on data sensitivity, regulation, latency, connectivity, operational access and resilience.
- Azure Local, running on Intel Xeon 6 processors, brings distributed Azure infrastructure together with a common compute foundation for customer-controlled environments, letting organizations extend cloud and AI capabilities closer to their data.
- For supported Azure Confidential VM configurations, Intel Xeon processors provide hardware-based protections including Intel Trust Domain Extensions, which can help isolate workloads while they are in use, and hardware-backed attestation can provide evidence that organizations can check against their requirements.
