Forum Discussion
SL Performance (M1 MacBook) Parallels
- 2 years ago
Hi everyone,
I have some great news to share! We just released another update for Storyline 360. In Update 77, we've included important fixes and new features.
One of the bugs we've fixed is:
- The trigger wizard performs faster on M-series Macs.
Launch the Articulate 360 desktop app on your computer to take advantage of this update, and click the Update button next to Storyline 360. You'll find our step-by-step instructions here.
Please let me know if you need additional help!
Hi, Jonathan - I am just jumping in to say I got my new M1 mac desktop this week, and I am having exactly the same problem! I had so hoped that Storyline performance would improve on the new machine, but honestly, it seems worse. The other apps I use (Adobe, etc.) are all blazing fast on the M1.
There is an older article here https://articulate.com/support/article/using-articulate-software-on-a-mac-with-parallels-desktop#profile that suggests disabling the shared profile and working exclusively in the windows environment, which is how I had it set up before. I would prefer not to do that on the new machine, so I am wondering if that will be necessary on the M1 mac.
One of the links on that page suggests that Parallels Desktop 16.5 and later support Apple M1 and Intel processors and work with Windows 10 on ARM Insider Preview. When I downloaded Parallels 17, it automatically installed Windows 11. Since these articles are about 8 months old I am not sure how valid this advice is.
I will be following this thread along with you.
Hi Amanda, thanks for your reply! I am glad it's not just me, but at the same time I am not glad that we have to experience this!
I imagine it is a compatibility issue between Storyline and the Windows 11 ARM edition - hopefully it will get fixed. Our machines are more than powerful enough to run the software. Also, to add, I have tweaked all the settings and nothing fixes it.
The worst thing is, it's really slowing down my workflow and is pretty laggy. I'm looking for a solution, which for now I think will be a cloud machine. Little bit costly, but I think it will be more costly for me to continue trying to use it via parallels!