Overview
Overview
The automated execution of large computational processes (e.g., for mathematical calculations, video rendering, data analyses) normally poses several challenges: the temporary provision of sufficient compute capacity and distribution of the computation logic and associated data are difficult or impossible to implement in conventional IT. Azure Batch can handle these tasks, making the capabilities of batch processing available to every Azure user. The service provides the cluster environments required, distributes the calculation logic provided by EXE file or script, manages the execution, and releases the computational resources following completion so that only the required resources are billed.
Getting Started
Getting Started
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Mark tells Scott all about how to run compute intensive jobs at scale in the cloud.Areas covered in this video: Azure batch example scenarios View Azure batch service in the...
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Manage your workloads, not the infrastructure. This session covers how to use Azure Batch to build cloud-native Big Compute and HPC solutions. Batch provides APIs for creating...
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High Performance Computing (HPC) applications are some of the most challenging to run in the cloud due to requirements that include fast processors, low-latency networking,...
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High performance computing (HPC) applications are some of the most challenging to run in the cloud due to requirements that can include fast processors, low-latency...
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Dave Fellows joins Donovan Brown to chat about a new service called Azure Batch Rendering, which is built on the Azure Batch service to provide capabilities for rendering 3D...
