Given that requirements and behaviors vary in relation to how users use software, it is critical that appropriate and optimum hardware configurations are tailored to meet these various needs. Software solutions such as Geographic Information Systems (GIS) are used across many industries and enable users to produce cartographic maps, to create 2D and 3D visualizations, and to perform geographic analysis. Depending on the GIS users’ requirements, computing requirements can vary greatly. For example, rendering 3D geographic scenes may require dedicated graphics resources, as distinct from the AI Deep Learning Compute resource requirements for object detection inferencing.

GIS software is often considered business-critical for the environments it runs in. Running business-critical software on virtualized platforms can lead to positive benefits, both tangible and intangible. These benefits include the ability to work or learn from anywhere, a better return on infrastructure investment, a quicker time to market with faster software development life cycles, the ability to dynamically meet the development requirements of GIS users, and more favorable user experiences.

Esri is the long-established leader in the GIS field, and their ArcGIS Pro software is a powerful framework for gathering, managing, and analyzing all kinds of geographic data.