I have not been having good fortune since I retired when it comes to buying a new workstation. Historically I have used Lenovo laptops because I traveled a lot and they fit in my briefcase, had very good performance and took the beating a road warrior gave out. But after I retired I went through a short period when my computers were breaking and I had to buy new ones. The new ones did not have the performance I expected. When I bought the last one I asked for a machine with a graphics adapter (GA) intending to use it mostly for Alibre. I may have made a mistake asking for a GA adapter rather than a GPU but at the time I did not know there was a difference. The lady taking down my phone order explained I did not need to buy a HW adapter as they had created a SW version so I took her advice and did not include a HW GA in the order. I have since found out that Lenovo means a TV adapter when they say GA. I have also found out that what is in my possession is not capable of running Alibre effectively. I want to use it for machine tool parts, for house addition design and for a in-lake weed puller. Currently the sensitivity of the mouse is not adequate. I find I have to jump to the 'zoom to window' and enlarge every view for almost every selection. I've also found that it is easy to somehow select the wrong thing and have it or perhaps a large group of things disappear. Hence I have to save the design every minute or two. All that jumping out of my mental design process is making success with Alibre extremely exhausting.
Hence I decided I'm going to buy a new laptop or desktop (I no longer travel, I hate it.) with a high performance GPU. My knowledge about high performance GPUs is limited. When the term comes up I think of NVIDIA and I know it can be programmed to do really involved work. Just before retirement I worked on a effort to install fully certified encryption on a PC scale processor riding in a fighter. I did not do the programming but I looked at some of the programming guides and thought I could do that and if I hadn't been so close to retirement I probably would have jumped in that pool. Now I'm thinking I should have scheduled me into some of the seminars as then I would understand what questions I should be asking. So excuse my ignorance but:
1) Is there a particular model machine that hosts Alibre well?
2) Does an NVIDIA suffice to offload the CPU workload when using Alibre?
3) Is Alibre written to take full or partial advantage of NVIDIA's GPUs? What GPU is minimum for an Alibre project?
I would prefer to use NVIDIA because I have in mind a non-Alibre project that would use NVIDIA's visual processing. But I could consider some other vendors device although that would be more of a learning curve. However I only have a few days study invested in NVIDIA so starting over on a different brand processor would not be a big loss.
4) Is there some other questions I should be asking?
Thank you, TomB.
Hence I decided I'm going to buy a new laptop or desktop (I no longer travel, I hate it.) with a high performance GPU. My knowledge about high performance GPUs is limited. When the term comes up I think of NVIDIA and I know it can be programmed to do really involved work. Just before retirement I worked on a effort to install fully certified encryption on a PC scale processor riding in a fighter. I did not do the programming but I looked at some of the programming guides and thought I could do that and if I hadn't been so close to retirement I probably would have jumped in that pool. Now I'm thinking I should have scheduled me into some of the seminars as then I would understand what questions I should be asking. So excuse my ignorance but:
1) Is there a particular model machine that hosts Alibre well?
2) Does an NVIDIA suffice to offload the CPU workload when using Alibre?
3) Is Alibre written to take full or partial advantage of NVIDIA's GPUs? What GPU is minimum for an Alibre project?
I would prefer to use NVIDIA because I have in mind a non-Alibre project that would use NVIDIA's visual processing. But I could consider some other vendors device although that would be more of a learning curve. However I only have a few days study invested in NVIDIA so starting over on a different brand processor would not be a big loss.
4) Is there some other questions I should be asking?
Thank you, TomB.