![]() I've never actually tried this, so how fast this is compared to native access I cannot say. VirtualBox, which runs on Windows, Linux, FreeBSD, whatever, is a good example. Most virtualization software nowadays allows access to hardware acceleration of the graphics card in Windows. In order to do 3D graphics, that program (game) and its operating system needs to control the card.Īctually, that is incorrect. Someone has to be in control of the hardware, such as the video card, and that is the host operating system on which the virtual machine runs. Once utilization hits a certain volume, it may make sense to purchase NVIDIA virtual GPU software licenses and run them on-premises in GPU-accelerated servers.Virtual machines cannot get direct access to the video card, as that could deprive the host operating system of access. NVIDIA RTX Virtual Workstations in the cloud are a great way for businesses to get started with accelerated computing because the cost of entry is nominal compared to having to purchase individual physical workstations. ![]() The same was true for any color change, texture, or background. It was very difficult to pan, zoom or rotate the image because it took so long to redraw the bike. I ran the same simulations with a CPU-only system and the time to render jumped to 30 seconds or more. For the vGPU, this time was barely a second or two. One of the benefits of using SolidWorks is the tool provides some data on time to re-render the image. What was most impressive is the image was very lifelike and one could see a reflection of the bike on the wet floor and other things to make it photo-realistic. Finally, I changed the background scenes from being predominantly black to mountains, an old warehouse, and other graphically intensive images. I then proceeded to change paint colors, textures, and other attributes of the bike and saw no degradation in performance. SolidWorks uses ray tracing with quick set rendering to redraw the image. I then performed a number of tasks, such as rotating the image and zooming in and out. To give the new A40 a good test drive, I loaded a SolidWorks file. 4: SolidWorks Visualize accelerated by NVIDIA RTX vWS Instead of being smooth like the vGPU, the animation was painfully slow. When I ran the animations with CPUs only, the more animations I added the poorer the quality to the point where the graphics were barely moving. As I added more animations, there was more movement across the screen with no degradation in quality. The site had a number of animations built into it, and when I clicked to start one, they started almost immediately and continued to run smoothly. To test how this worked GPU accelerated, I went to an OpenGL website and noticed it loaded very fast and smoothly. ![]() Open Graphics Library, more commonly known as OpenGL, is a processor-intensive API to render 2D and 3D vector graphics. Finally, I compared identical workloads on CPU-only systems.įollowing are the results: Use case No. The system I tested was the NVIDIA A16 Ampere card with NVIDIA Virtual PC (vPC) software then the A40 paired with NVIDIA RTX vWS software. To get an idea of how effective vGPUs are, I recently conducted several scenarios to test the vGPU and compared them to CPU-only systems.
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