![]() My use is 2D maps for printing with minimal geoprocessing except for geo-referencing very large (20 gb, 8 bit) rasters, maps with many large rasters and complex symbology and labels with halos and callouts (which seem to particularly slow things down to the point I changed them) and my ArcGIS PRO RAM usage is typically <6gb. With the unknown timeframe for the i7-6 core "regular" iMac and ArcGIS PRO 2.1 optimal config now up to 10 cores I am going to buy an iMac Pro. With ArcGIS Pro 2.1, my 2011 iMac running 10.13.3, Windows 10-64 and Parallels 13 is finally not going to cut it even with the SSD & RAM I installed that gave me extra 2 years of life. This blog post is a bit old but maybe someone will see my comment. Let's turn this into a resource for the Community! For those of you running ArcGIS Enterprise (previously ArcGIS Server), consider using the free Python API, which you can use natively on your Mac without Parallels to do the processing Server-side.Īre you a Mac owner who runs Parallels to leverage ArcGIS Desktop? If so, please post any additional tips you've found for enhancing performance in the comments.Also, if you're switching back and forth between using Pro in your Parallels and your Mac OS again and again, it can impact the acceleration, having an impact on performance (see recommendation about using in fullscreen ) ArcGIS Pro more heavily leverages the GPU onboard, so make sure it's spec'd appropriately. While ArcGIS Pro is native 圆4 bit, it won't necessarily run faster, it just means it can handle bigger, more complex data.If you're using ArcMap, make sure you have the free 64-bit Background Geoprocessing Add-On installed from MyEsri to eliminate out-of-memory errors when running certain GP tools.If you're gearing up for a significant amount of work in ArcGIS, rather than just quickly jumping in and doing things, consider Bootcamp. Running Parallels via Bootcamp will also enhance performance when you're working heavily in ArcGIS, allowing Windows to use as many system resources as possible.Make sure sufficient cores and RAM have been allotted to your Parallels instance.Use Parallels in Fullscreen instead of Shaddow Mode.Set it for Better Performance (and try to always be plugged in when using Parallels).Check the box to Enable Adaptive Hypervisor.Set Performance to Faster Virtual Machine.Click on the Gear/Cog to open the settings.Before launching Parallels, inside your Mac OS launch your Parallels Desktop Control window.Power down your Mac, and then turn it back on (you can't do the next steps if you're already running/have run Parallels since your laptop has been turned on for some reason).Starting off on the right foot with a MacBook Pro will help to ensure the best performance possible. MacBooks and MapBook Airs are probably not going to have the power inside needed to run ArcGIS in a performant manner if you're running intensive processes.Many of my sciences customers ask me how to optimize the performance of their ArcGIS inside their Parallels instances, so I wanted to publish a post with some best-practice recommendations. While many parts of the Esri ArcGIS Platform are able to run natively on Macs, such as ArcGIS Python API, AppStudio, Workforce for ArcGIS, and the Web GIS tools, Esri's ArcGIS Desktop products are not supported for native use on Mac OS.
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