{"id":2979706,"date":"2026-08-10T16:05:53","date_gmt":"2026-08-10T23:05:53","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=2979706"},"modified":"2026-08-10T16:08:09","modified_gmt":"2026-08-10T23:08:09","slug":"arcgis-pro-virtualization-with-oracle-cloud-infrastructure-oci","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/announcements\/arcgis-pro-virtualization-with-oracle-cloud-infrastructure-oci","title":{"rendered":"ArcGIS Pro Virtualization with Oracle Cloud Infrastructure (OCI)"},"author":6391,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[23771,37101],"tags":[42181,766272,24931],"industry":[],"product":[36561],"class_list":["post-2979706","blog","type-blog","status-publish","format-standard","hentry","category-3d-gis","category-announcements","tag-arcgis-pro","tag-oracle","tag-virtualization","product-arcgis-pro"],"acf":{"short_description":"Deploying ArcGIS Pro virtual desktops with Oracle Cloud Infrastructure.","flexible_content":[{"acf_fc_layout":"content","content":"

<\/h2>\n

ArcGIS Pro users expect a responsive experience whether working from a physical workstation or a virtual desktop. Map navigation, editing, visualization, geoprocessing, and analysis all benefit from a well-designed virtual infrastructure that balances compute resources, storage performance, and network connectivity.<\/p>\n

Oracle Cloud Infrastructure (OCI) provides GPU-enabled Compute Shapes\u2014Oracle’s predefined virtual machine configurations that combine CPU, memory, storage, and optional GPU resources into a single deployment profile. Similar to selecting a Virtual Machines (VM) size in Microsoft Azure, choosing the appropriate Compute Shape is one of the most important design decisions when deploying ArcGIS Pro on OCI. Like any virtualization platform, however, overall performance depends on more than selecting a GPU-enabled Compute Shape. Storage performance, network latency, data locality, and choosing the appropriate Compute Shape all contribute to the end-user experience.<\/p>\n

This article explores deployment considerations for ArcGIS Pro on OCI and highlights the Compute Shape and architectural decisions that can help build responsive and scalable virtual desktop environments. The deployment guidance and performance observations presented here are based on validation performed using NVIDIA A10-backed OCI Compute Shapes. Additional GPU Compute Shapes are discussed to help you evaluate Compute Shape options for a range of GIS workflows.<\/p>\n"},{"acf_fc_layout":"content","content":"

<\/h2>\n

Why Oracle Cloud Infrastructure?<\/strong><\/h2>\n

OCI provides the infrastructure needed to support modern ArcGIS Pro deployments while allowing virtual desktop environments to scale as business needs evolve.<\/p>\n

Key capabilities include:
\n\u2022 GPU-enabled Compute Shapes
\n\u2022 High-performance networking
\n\u2022 Flexible Block Volume and File Storage services
\n\u2022 Global cloud regions
\n\u2022 Hybrid connectivity through FastConnect and VPN
\n\u2022 Enterprise-grade security and management<\/p>\n

When properly designed, OCI can deliver an ArcGIS Pro experience comparable to a modern physical workstation while providing the scalability and operational flexibility of a cloud-based deployment.<\/p>\n"},{"acf_fc_layout":"content","content":"

<\/h2>\n

ArcGIS Pro system requirements<\/strong><\/h2>\n

Before designing or deploying an ArcGIS Pro environment on OCI, review the current ArcGIS Pro system requirements. Supported operating systems, hardware requirements, and software prerequisites are updated periodically with each release. Ensuring that OCI instances meet these requirements helps provide a supported and reliable deployment.<\/p>\n

Because OCI platform images and ArcGIS Pro system requirements evolve over time, verify that the selected guest operating system and OCI platform image are supported before provisioning new virtual desktops.<\/p>\n"},{"acf_fc_layout":"content","content":"

<\/h2>\n

Recommended deployment architecture<\/strong><\/h2>\n

A typical ArcGIS Pro deployment on OCI consists of Windows instances running ArcGIS Pro with access to enterprise GIS resources hosted in OCI or connected through hybrid networking. Depending on deployment requirements, supporting services such as enterprise geodatabases, shared project storage, and ArcGIS Enterprise may reside entirely within OCI or remain on-premises and be accessed through secure network connectivity.<\/p>\n

Whenever possible, deploy compute resources as close as practical to enterprise GIS data. Keeping compute, storage, and databases within the same OCI region helps reduce latency and improve application responsiveness.<\/p>\n"},{"acf_fc_layout":"content","content":"

<\/h2>\n

Choosing the right Compute Shape<\/strong><\/h2>\n

One of the first decisions you’ll make when designing an ArcGIS Pro deployment on OCI is selecting the appropriate Compute Shape. OCI Compute Shapes provide predefined combinations of CPU, memory, storage, and GPU resources.<\/p>\n

Rather than focusing solely on GPU performance, consider the overall balance of compute resources based on the GIS workflows your users perform every day.<\/p>\n

Validation for this article was performed using an NVIDIA A10-backed OCI Compute Shape, which provided an excellent balance of graphics performance and overall system capability across a wide range of GIS workflows.<\/p>\n"},{"acf_fc_layout":"content","content":"

<\/h2>\n

Recommended GPU Compute Shapes<\/strong><\/h2>\n\n\n\n\n\n\n
OCI Compute Shape<\/strong><\/td>\nGPU<\/strong><\/td>\nArcGIS Pro Workloads<\/strong><\/td>\nNotes<\/strong><\/td>\n<\/tr>\n
VM.GPU.A10.1
\nVM.GPU.A10.2
\nBM.GPU.A10.4<\/strong><\/td>\n		NVIDIA A10<\/td>\nGeneral visualization, editing, geoprocessing, and analysis<\/td>\nPrimary validation platform. Excellent balance of graphics performance, CPU resources, memory, and cost for most ArcGIS Pro deployments.<\/td>\n<\/tr>\n
VM.GPU.L40S.1 through VM.GPU.L40S.4
\nBM.GPU.L40S.4<\/strong><\/td>\n		NVIDIA L40S<\/td>\nLarge 3D scenes, high-resolution imagery, large LAS datasets, and GPU-intensive geoprocessing<\/td>\nProvides additional graphics and compute capability for demanding GIS workflows.<\/td>\n<\/tr>\n
BM.GPU.RTXPRO.8<\/strong><\/td>\nNVIDIA RTX PRO 6000 Blackwell<\/td>\nArcGIS Pro deep learning, custom AI model training, and advanced geospatial AI workflows<\/td>\nDesigned for advanced ArcGIS Pro deep learning and AI workflows.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Note: Selecting a larger GPU does not automatically improve ArcGIS Pro performance. Storage throughput, network latency, and proximity to enterprise GIS data frequently have a greater impact on overall responsiveness than GPU size alone.<\/p>\n"},{"acf_fc_layout":"content","content":"

<\/h2>\n

Storage performance directly affects ArcGIS Pro responsiveness, particularly when working with large datasets, imagery, and file geodatabases. Use high-throughput Block Volumes and appropriately sized File Storage to keep pace with the I\/O demands of your GIS workflows.<\/p>\n

<\/h2>\n

Networking and Data Locality<\/strong><\/h2>\n

ArcGIS Pro frequently accesses enterprise geodatabases, imagery, file geodatabases, network shares, and ArcGIS Enterprise services. As a result, network latency can significantly influence application responsiveness.<\/p>\n

\u2022 Deploy Compute instances and enterprise GIS data within the same OCI region whenever practical.
\n\u2022 Avoid cross-region access for active GIS workflows.
\n\u2022 Use FastConnect or appropriately sized VPN connections for hybrid deployments.
\n\u2022 Avoid unnecessary network hops between ArcGIS Pro and enterprise GIS resources.<\/p>\n

Data locality often has a greater impact on user experience than increasing virtual hardware resources.<\/p>\n

 <\/p>\n

 <\/p>\n"},{"acf_fc_layout":"content","content":"

Performance validation<\/strong><\/h2>\n

Every ArcGIS environment is different. User workflows, data volumes, storage architectures, enterprise geodatabases, imagery, and ArcGIS Enterprise services all influence overall performance.<\/p>\n

Rather than relying solely on hardware specifications, validate performance using representative ArcGIS Pro projects and workflows. The ArcGIS Pro Performance Assessment Tool (PAT) provides a repeatable methodology for comparing Compute Shapes, storage configurations, and architectural changes while helping identify performance bottlenecks before deployment into production.<\/p>\n

Test using the same data, ArcGIS Pro projects, and GIS workflows your users rely on every day. Those results are far more meaningful than synthetic benchmarks or hardware specifications.<\/p>\n

Oracle Cloud Infrastructure provides a capable platform for virtualizing ArcGIS Pro. As with any virtualization platform, successful deployments depend on balancing the entire environment rather than focusing on a single hardware component. Thoughtful architecture, efficient data locality, and performance validation remain the keys to delivering a scalable and reliable ArcGIS Pro deployment.<\/p>\n"},{"acf_fc_layout":"content","content":"

<\/h2>\n

Key Takeaways<\/strong><\/h2>\n
    \n
  • Select the Compute Shape that provides the right balance of resources for your GIS workflows.<\/li>\n
  • Keep ArcGIS Pro close to enterprise GIS data whenever practical.<\/li>\n
  • Validate using your data, ArcGIS Pro projects, and GIS workflows.<\/li>\n
  • Build for the complete environment\u2014Compute Shape selection, storage, networking, and data locality all contribute to the overall the experience.<\/li>\n<\/ul>\n

     <\/p>\n

     <\/p>\n"}],"authors":[{"ID":6391,"user_firstname":"Ryan","user_lastname":"Danzey","nickname":"Ryan Danzey","user_nicename":"rdanzey","display_name":"Ryan Danzey","user_email":"RDanzey@esri.com","user_url":"","user_registered":"2018-03-02 00:18:20","user_description":"Esri Performance Engineering.","user_avatar":""}],"related_articles":[{"ID":769661,"post_author":"6391","post_date":"2020-03-12 15:02:44","post_date_gmt":"2020-03-12 22:02:44","post_content":"","post_title":"Announcing the New ArcGIS Pro Virtualization White Paper","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"announcing-the-new-arcgis-pro-virtualization-white-paper","to_ping":"","pinged":"","post_modified":"2020-03-12 15:02:44","post_modified_gmt":"2020-03-12 22:02:44","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=769661","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"7","filter":"raw"},{"ID":2943059,"post_author":"6391","post_date":"2025-10-14 17:00:44","post_date_gmt":"2025-10-15 00:00:44","post_content":"","post_title":"ArcGIS Pro in Microsoft Azure: Modernizing How You Deliver ArcGIS","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"arcgis-pro-in-microsoft-azure-modernizing-how-you-deliver-arcgis","to_ping":"","pinged":"","post_modified":"2026-04-20 09:12:50","post_modified_gmt":"2026-04-20 16:12:50","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=2943059","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":2945754,"post_author":"6391","post_date":"2025-10-27 16:55:00","post_date_gmt":"2025-10-27 23:55:00","post_content":"","post_title":"ArcGIS Pro on AWS: Bringing GPU-Accelerated GIS to the Cloud","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"arcgis-pro-on-aws-bringing-gpu-accelerated-gis-to-the-cloud","to_ping":"","pinged":"","post_modified":"2025-10-29 15:40:05","post_modified_gmt":"2025-10-29 22:40:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=2945754","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":2357032,"post_author":"6391","post_date":"2024-05-31 14:56:29","post_date_gmt":"2024-05-31 21:56:29","post_content":"","post_title":"ArcGIS Pro Virtualization Hardware and VM Profiles","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"arcgis-pro-virtualization-hardware-and-vm-profiles","to_ping":"","pinged":"","post_modified":"2025-07-02 11:27:03","post_modified_gmt":"2025-07-02 18:27:03","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=2357032","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":2366812,"post_author":"6391","post_date":"2024-06-06 15:10:17","post_date_gmt":"2024-06-06 22:10:17","post_content":"","post_title":"ArcGIS Pro Virtualization with NVIDIA GPUs","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"arcgis-pro-virtualization-with-nvidia-gpus","to_ping":"","pinged":"","post_modified":"2024-07-03 08:21:04","post_modified_gmt":"2024-07-03 15:21:04","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=2366812","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"}],"show_article_image":true,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/08\/OCI1920-1.png","wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/08\/OCI1920.png"},"yoast_head":"\nArcGIS Pro Virtualization with Oracle Cloud Infrastructure (OCI)<\/title>\n<meta name=\"description\" content=\"earn how to deploy ArcGIS Pro virtual desktops on Oracle Cloud Infrastructure (OCI). 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