HOW TO
Sometimes, the Verify your computer's ability to run ArcGIS Pro utility cannot be downloaded or executed to check if your computer meets the system requirements to run ArcGIS Pro. This article is intended to help with how we can manually perform this verification.
Open Settings > System > About, or simply type About Your PC in the Windows Search bar. In the About section, validate the following requirements:
Open the Task Manager > Performance tab and search for the non-integrated GPU to verify the Dedicated GPU memory.
In the Windows search bar, type dxdiag to open the DirectX Diagnostic Tool window. On the System tab, verify the DirectX version.
For more information, see: How To: Check the graphics card type and OpenGL version
The Microsoft .NET 8.x and Microsoft Edge WebView2 Runtime should be listed in Control Panel > Programs & Features:
This can also be checked by running the command dotnet --list-runtimes in the Command Prompt, as follows:
C:\Users\username>dotnet --list-runtimes
If ArcGIS Deep Learning is required or it is necessary to accelerate some Spatial Analyst tools, an NVIDIA GPU with CUDA should be installed before ArcGIS Pro. From the Command Prompt, run the command nvidia-smi and if the CUDA Version is shown in the resulting table, the NVIDIA GPU is probably supported:
Now browse to CUDA - Wikipedia and in the GPUs Supported section, in the 'Compute Capability (CUDA SDK support vs. Microarchitecture)' table, find if your NVIDIA GPU is supported with a compatible compute capability (version). Note that ArcGIS Pro 3.3 requires NVIDIA GPU with CUDA compute capability 5.0 minimum, 6.1 or later is recommended. If you do not know the NVIGIA GPU product, open the Device Manager from the Windows Search bar, and expand Display Adapters.
In the following image, a machine has the NVIDIA T600 Laptop GPU shown in the Device Manager window.
This GPU uses the Turing microarchitecture and is compatible with the compute capability (version) 7.5, according to the NVIDIA Developer reference, Your GPU Compute Capability, so it meets the CUDA requirement, as shown in the image below.
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