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AssigneeMicrosoft Technology Licensing, LLC
InventorsStuart Hillary SCHAEFER, Paul Allan MCDANIEL, Tucker Cunningham BURNS, Gabriel HERA, Raymond Matthew RESKUSICH, Bharath Reddy KODURU, Siva Prasad BALASUBRAMANIYAM, Viswambharan KASTURI RANGARAJAN, Matthew Ronald SHADBOLT, Sneha SULTANIA
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Methods, systems, and computer storage media for providing hybrid compute management using a hybrid compute management engine are described. Hybrid compute management refers to the dynamic orchestration of artificial intelligence (AI) workloads from a remote client to an AI workload cloud-based compute resource to optimize performance and resource utilization. The hybrid compute management engine enables AI-powered features on the remote client by dynamically offloading inferencing workloads to the AI workload cloud-based compute resource in an external compute environment while maintaining a seamless user experience. A hybrid compute framework associated with the hybrid compute management engine operates to redirect AI workloads from the remote client to the AI workload cloud-based compute resource, ensuring that these AI-powered feature associated with the remote client available even in the absence of dedicated AI hardware. An AI processing orchestrator directs workloads from a remote client to the cloud-based compute resource based on policy-driven execution rules.
A computerized system comprising:
One or more computer-storage media having computer-executable instructions embodied thereon that, when executed by a computing system having a processor and memory, cause the processor to perform operations, the operations comprising:
A computer-implemented method, the method comprising:
Dependencies are inferred from the claim text.