Filter by Topic
GPU vs TPU: Which AI Hardware Should You Choose in 2026?
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…
How to Roll Back NVIDIA Drivers (Step-by-Step Guide for Windows 11 and Windows 10)
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…
Should I Overclock My GPU? Pros, Cons, Risks, and When It’s Worth It
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…
What Does Ti Mean in GPU?
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…
How to Check Motherboard Damage From GPU: A Step-by-Step Guide
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,…
How Does Voltage Play in GPU Overclocking? (A Beginner’s Guide)
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…
Why Your GPU is Overheating During Local LLM Training (And How to Fix It)
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…
What Is CUDA Fallback? How It Works and How to Check Your CUDA Version
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,…
NVIDIA vs Huawei AI Chips: A Detailed Comparison
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…
22 AI Chip Companies You Should Know
Today, AI is everywhere. But the majority of people are focusing on the latest AI models, and almost no one is talking about the hardware beneath them. Whether it’s smartphones,…
