A GPU, or graphics processing unit, is a specialized processor designed to handle complex visual computations. It provides significant processing power, working alongside the computer’s central processing unit (CPU) to render images, videos, and animations on your display. GPUs are essential for a...
Understanding GPU Impact on Gaming Your graphics card serves as the heart of your gaming system, handling the complex calculations needed to render modern games. While other components like the CPU and RAM matter, the GPU is typically the primary factor in determining gaming performance and capabili...
To adjust your GPU’s fan speed, launch GPU Tweak III and look for theFan Speedsliders on the right-hand side. On NVIDIA GeForce cards from ROG and TUF Gaming, you’ll see two sliders here: one for the side fans, and one for the center fan, which spins the opposite direction to mi...
4. TheValidationtab is the final section of the program, and it is for users to share their GPU settings on TechPowerUp's website. If you have overclocked your GPU within safe parameters, and you use GPU-Z to record the data, you can upload your settings as a log file so that othe...
Starting from the simplest measures to the more complex, one way to ensure that the GPU is not under-performing is to keep it clean. In other words, keep the dust off. Yes, you read right, you have probably seen others suggest that too. Thus, of course, we’re not necessarily talking...
This is the easiest way to boost performance in GPU Tweak III, but you can push performance even further with the methods below — so read on if you want even more bang for your buck. Go a little further: auto-overclock your GPU with OC Scanner ...
RTX or ray tracing is the holy grail of modern graphics, which can recreate the physics of lights close to real-world even in the most visually intensive games. You just need an RTX-enabled GPU and a ray-tracing-compatible game to be lost in an immersive gaming world. But, how can you...
But for bigger models like in the NLP domain, you’ll need as much GPU memory as possible. So, you can simulate bigger batch sizes with much faster speed on larger models. Also, for a multi-GPU setup, be sure to useblower-style graphics cards. You can stack this type of GPU a lot...
Published Oct 22, 2024 • 10 min read Configuring the GPU on your machine can be immensely difficult. The configuration steps change based on your machine's operating system and the kind of NVIDIA GPU that your machine has. To add another layer of difficulty, when Docker starts a container...
Is there a docker-images method to use tensorflow-gpu in jupyter-notebook? Use case Is there a way to use gpu? I am using a redhat ocp container. Do I need to use tensorflow-gpu to use the pod docker image? Or can I use a different gpu? Additional No response Are you willing to...