PC Hardware Articles in Category "Hardware"
One of the core values of Puget Systems is transparencyWe detest hype in the midst of an industry that is full of it. Our mission is to provide the highest quality hardware and consultation services to our customers, and to back up our decisions by freely sharing what we've learned along the way. To earn a place in our product line, a computer component undergoes rigorous testing. We apply the results of our testing, along with our years of experience in learning reliability trends and manufacturer characteristics, to make prudent decisions about what we can put our name behind, whether that's an individual part or an entire computer. With the following articles, we are writing up the results of these internal processes and discussions, and taking them public. We feel we can take this on with a unique perspective as we evaluate each topic with the experience, resources, and objectivity of a system builder. If there is a topic you'd like us to write about, email us at !
GPU rendering engines like OctaneRender and Redshift utilize the computational power of the graphics processing chips on video cards to create photo-realistic images and animations. The more powerful the video card, the faster the rendering process goes - and multiple video cards can be used together to further improve performance. But can those video cards be a mix of different models, or do they all need to be identical?
Redshift is a GPU-based rendering engine, which recently updated from version 2.5.72 to 2.6.11. That update added compatibility with NVIDIA's Volta GPU architecture, and cards like the Titan V, but did it also improve render speeds?
Redshift is a GPU-based rendering engine, and the latest version 2.6.11 introduced compatibility with NVIDIA's Volta graphics architecture and cards like the Titan V. Lets take a look at how different GeForce and Titan models perform.
PhotoScan makes heavy use of both the central processors (CPUs) in a computer and the video cards (GPUs) to run many of the calculations involved in turning still images into a 3D model or map. Agisoft, the makers of PhotoScan, have versions available for both Windows and macOS - so let's take a look at how these two, competing computer platforms compare.
Now that OctaneRender has been updated to support the Volta GPU architecture, how well does its performance scale when using multiple Titan Vs? And how does that compare to other popular rendering cards like the GeForce GTX 1080 Ti?
OctaneRender is a GPU-based rendering engine, so the bulk of the processing it does is carried out on the video cards in a system. Different processors and motherboards can impact the number of cards that can fit in a single system, but do they matter beyond that? Does the CPU itself have any impact on rendering speed/performance?
PhotoScan makes heavy use of both the central processors (CPUs) in a computer and the video cards (GPUs) to run many of the calculations involved in turning still images into a 3D model or map. Intel's new Xeon Scalable processors offer configurations with dozens of CPU cores, as well as the ability to support multiple GPUs - so let's see how they perform in PhotoScan.
Intel has launched their new Xeon Scalable processor series, with very high core counts and multi-CPU configurations. How do they stack up to single-socket workstations using other Intel and AMD processors when rendering in V-Ray?
"Mac or PC?" - the age-old question among computer enthusiasts. How fast are Apple and PC workstations when rendering in V-Ray? And which offers a better value?
"Mac or PC?" - the age-old question among computer enthusiasts. How do Apple and PC workstations compare for content creation and rendering in Cinema 4D?
Intel has launched their new Xeon Scalable processor series, with very high core counts when used in dual CPU configurations. How do they stack up to single-socket workstations using other Intel and AMD processors in Cinema 4D?
PhotoScan makes heavy use of the central processor (CPU) in a computer to run many of the calculations involved in turning still images into a 3D model or map. Different steps in that process utilize the CPU in various ways, though, so we are looking at how several Intel and AMD processors compare in this application.
PhotoScan makes use of both the CPU and GPUs (video cards) in a computer, during different steps of the photogrammetry workflow. One of the configuration options within this program also allows the CPU to be utilized during steps that are primarily performed on the GPU - and it is enabled by default. However, we have found in our testing that this option usually hampers performance more than it helps!
PhotoScan makes use of the video cards in a computer to assist with the computation of certain steps. As such, both the model of video card used and the number of GPUs present in a system can have an impact on the amount of time those steps take. In this article, we take a look at how multiple GeForce GTX 1080 Ti cards scale in performance across a few different CPU platforms.
PhotoScan makes use of the video cards in a computer to assist with the computation of certain steps. As such, the model of video card used can have an impact on the amount of time those steps take. In this article, we take a look at the GeForce 1000-series - based on NVIDIA's Pascal GPU architecture - to see how they compare to each other.
PhotoScan makes use of the video cards in a computer to assist with the computation of certain steps. The performance of an individual video card, or GPU, is known to impact the processing speed - but what about the connection between the video card and the rest of the computer? This interconnect is called PCI Express and comes in a variety of speeds. In this article, we will look at how PhotoScan performance scales across PCI-E 3.0 x4, x8, and x16.
PhotoScan is a photogrammetry program: an application that takes a set of images and combines them to create a 3D model. A combination of CPU and GPU processing is used in this process. It has been a couple years (and several version updates) since we last tested PhotoScan, so we are revisiting it to see what has changed and how it performs on modern computer hardware.
Intel has long been the performance king for After Effects, but AMDs new 2nd generation Ryzen CPUs have shown some great performance gains. Is it enough to let AMD overtake Intel?
AMD has made great improvements with the new 2nd generation Ryzen CPUs that really closes the gap between AMD and Intel for Photoshop users. But is it enough to put them above Intel's 8th Gen CPUs?
After Effects is a tricky application when it comes to choosing a CPU as there are many factors that come into play. Not only is there raw rendering performance, but the new integration with Cinema4D and even the amount of system RAM you need all play a role in determining what CPU is the ideal choice for your workflow.
Following up on our previous article about SOLIDWORKS 2018 GPU performance, we have been provided with an extremely complex assembly that finally shows some performance difference between low- and high-end video cards within the same family. Armed with this 4372 part, 40.9 million triangle model we ran through testing on multiple Quadro and Radeon Pro graphics cards to see how they handle such a monstrously large project.