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But you are right single-core processing is impactful with BIM applications. Some still exist, and the M1 Mac users will see good speedups. Our single-core bottlenecks have, over time, become multithreaded. Still, I want to focus on the M1 because readers and many of your users will be curious about it.
#Vectorworks student version limitations full
I know we will touch on Metal throughout this conversation about the M1 because the full Metal implementation is a big deal. SJ - macOS 10.15 Catalina is the oldest Mac operating system this latest version of Vectorworks runs on. Which macOS is required now as the baseline for version 2022? So, the performance in graphics with Metal can vary depending on the age of the Mac hardware and the specific OS version they are running. I realize that when we are talking about the full Metal implementation in the new Vectorworks 2022, we are, of course, talking about Metal on both Intel and the new ARM architecture Macs. SJ - Well, getting back to the full Metal implementation, we have been working with beta testers for a while now, and we see good reactions about Vectorworks 2022, which is full Metal on Apple, and the response is that it just feels much faster. Things work differently between these hardware chip setups.īut you have done lots of testing, right? And what about beta testers and what they are saying? It’s a complex story to tell because it is not a straightforward task to compare a system-on-a-chip (SoC) implementation to a separate CPU and GPU. …the paging out to virtual memory and the engineering that Apple has done with the M1 is superb and makes that limitation almost go away.
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(note: Apple just announced new M1 Pro and M1 Max chip due in November) And, of course, we have the M1X chip coming soon, which will go beyond the 16 GB limit. SJ - So the 16 GB is a limit, but we see the paging out to virtual memory, and the engineering that Apple has done with the M1 is superb and makes that limitation almost go away. How does this affect large 3D model performance? The M1 chip maxes out at 16 GB of memory. You know, all of our reengineering over the years is really coming to a head! The M1 system-on-a-chip (SoC) and the unified memory, GPU, and cores are exciting, and Vectorworks 2022 shines on this platform. I’m giddy with excitement, as I just got my personal ARM M1 MacBook yesterday. Before we dive into that, what is the status of the Apple Metal transition? (Anthony Frausto-Robledo) Thanks, Steve, for talking to me so extensively about the M1 or Apple Silicon transition with Vectorworks. Strap in as we talk tech shop about the AEC industry’s first BIM program on the ARM chip architecture.
In this interview, we cover how the M1 SoC is different in many respects, including memory limitations and the complete transition to the Metal graphics API for the Mac version of Vectorworks 2022, which is integral to the big picture M1 story.
#Vectorworks student version limitations free
To gain access to our top content faster and stay ahead of leading-edge technology, please subscribe to our free Xpresso newsletter.ĪRCHITOSH HAD THE OPPORTUNITY TO TALK with Steve Johnson, Chief Technology Officer, Vectorworks, a few weeks ago about the new M1-native Vectorworks 2022 product just released. Editor’s note: This feature ran first in the October edition of our newsletter INSIDER Xpresso.
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