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Issue dedicating more hardware resources using image server raster analytics.

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06-13-2025 06:47 AM
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AdamHogg_MNR
Emerging Contributor

Hello ESRI Community,

We've installed Image Server (10.9.1) with a raster analytics configuration on a Windows VM in Azure (24-core with GPU and 250 GB of RAM). The Image Server has been federated with Portal on another VM. It also has an Azure SQL enterprise geodatabase registered as a data store. Using ArcPro (2.9) we get confirmation that we've submitted our raster function process to portal for distributed processing, so the configuration is working. That said, when we submit a large process using an image service (e.g., roughly 131 billion pixels) the job takes almost 24 hours to complete while our raster processing VM never exceeds 10% CPU or RAM usage. Is there anyway to increase the amount of VM resources used by a job to decrease processing time?

10 Replies
AdamHogg_MNR
Emerging Contributor

Thanks very much Bill. That article is very useful.

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