Running AI models locally has become far more accessible than it was just a few years ago. Tools like Stable Diffusion, Ollama, and LM Studio allow developers, researchers, and even…
If you have been following the AI space then you must have come across terms like GPU and TPU. These chips have become quite important for training and running AI…
Sometimes, a new NVIDIA driver update is the reason behind lower FPS in games, crashes, screen flickering, or software not working properly. In situations like these, rolling back to a…
Yes, overclocking your GPU is normally considered a safe option to get some free performance boost. However, you have to make sure that adequate cooling and a reliable power supply…
In GPUs, “Ti” is a label used by NVIDIA to indicate a more powerful version of a base graphics card model. A Ti card usually sits between the standard version…
If your computer fails to boot, displays graphical artifacts, or crashes under load, in most cases the culprit could be the GPU. However, in some cases, the GPU is fine,…
Whenever we talk about GPU overclocking, it is often described in terms of speed. However, voltage also plays an equally important role. As without the proper voltage control higher clock…
GPU overheating is a common issue for anyone training or running Large Language Models (LLMs) locally. Unlike gaming, AI workloads keep your hardware at maximum capacity for extended periods. If…
If you have tried to train a machine learning model or generate images with Stable Diffusion, then you must be familiar with the “Out of Memory” (OOM) error. Until now,…
Whenever we think about AI chips, one name that comes to mind is NVIDIA. It already covers over 80% market. However, there is one player who is giving NVIDIA a…
