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In addition, the size of the card offers a very large set of options that support scalability and density, as shown in other Esri/NVIDIA publications.ĪrcGIS Pro continues to add new spatial analysis tools, as these new tools are developed or updated the focus of delivering faster compute times opens to using the GPU for compute in addition to using the CPU. With low power consumption and a good amount of memory, the T4 is an excellent choice for delivering various workload types within ArcGIS Pro. The T4 is a low-profile, single PCIe slot form factor GPU with 16GB memory and 70w of power consumption. The NVIDIA Tesla T4 (with Quadro vDWS) is a GPU offering from NVIDIA on the Turing architecture that has offered the most diverse use cases for virtualizing ArcGIS Pro. All these GPUs are meant for performance workloads such as heavy 3D visualization, machine or deep learning, or data science projects. V100, P40, and T4 are examples which are all classified as performance optimized graphics processors. NVIDIA GPUs are classified by either performance, density, or blade optimized. This advancement allowed ArcGIS Pro to leverage the GPU for compute as well as Imagery. Advancements in the Pascal architecture and later, allow for both visualization as well as high performance computing simultaneously. Since then, the Maxwell, Pascal, Volta, Turing, and the recently announced Ampere architecture. The first being the NVIDIA GRID Kepler architecture series, which was released in 2012. NVIDIA has produced many GPUs over the recent years. Heavy, High-end cartography and extensive analysis.Medium, Advanced data management and analysis, Deep Learning Inferencing.ArcGIS Pro user types could be broken down in three categories: The GPU can also be used for inference when configured to use TensorFlow. Tools such as Slope, Aspect, Viewshed2 and others take advantage of the GPU and offset the CPU usage. New tools continue to be introduced that can be used for GPU compute. Geoprocessing as well can make use of the GPU. Additional profiles offer more frame buffer from the GPU which can positively affect the user experience. As workload demands on the GPU increase, as well as the additional needs from the operating system, additional frame buffer can be needed. A 1Q or 1 GB frame buffer profile allows for the overall needed functionality. To get the best ArcGIS Pro user experience the minimum recommended frame buffer is 1024 MB (1 GB), which is shown as the 1Q profile. To achieve the best return on investment, density, or functionality, profiles are assigned to each VM. This is where the GPU profiles come into play. Making the best use of a resource such as a GPU involves scalability when sharing GPU functionality. Running ArcGIS Pro requires the use of a GPU.
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