Microsoft and NVIDIA are turning Windows into an orchestration layer for autonomous AI agents. For MSPs, that means your endpoint policies and client billing models need to account for software that acts independently — with its own compute costs, identity boundaries, and security surface. Three Microsoft developments this week make the trajectory clear.
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Microsoft and NVIDIA propose AI-driven, end-to-end tools for the nuclear lifecycle: design, permitting, construction, and operations. … [Microsoft NVIDIA AI for Nuclear Lifecycle Tools]Read more
Microsoft and NVIDIA expand joint AI infrastructure: Foundry adds NVIDIA Nemotron models and agent services, Azure … Microsoft, NVIDIA Add Nemotron to FoundryRead more
Microsoft validated an NVIDIA Vera Rubin NVL72 system in cloud, proving hardware bring-up, interconnects, cooling, power, … We’re the first cloud to bring up an NVIDIA Vera Rubin NV…Read more
Microsoft Azure’s AI datacenters are specifically designed for large-scale deployment of NVIDIA Rubin, enabling seamless integration … Azure’s AI Powerhouses: Next-Gen NVIDIA Rubin Deployments in Microsoft’s Engineered Superfactories for Unmatched Scalability, Performance, and Efficiency
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Microsoft Azure’s AI datacenters are engineered for next-gen NVIDIA Rubin deployments, delivering unmatched scalability, performance, and … How Microsoft Azure Powers Next-Gen NVIDIA Rubin AI DeploymentsRead more
