AMD's innovative AI solutions and partnerships could challenge Nvidia's dominance and drive enterprise growth. Click here to ...

Future-proof your PC in 2025 with smart upgrades for AI workloads. Learn which CPU, GPU, RAM, storage, and cooling solutions ...

If you want to install and run Software in a Sandbox to test the program in Windows 11/10,, you can follow this complete guide.

If you're looking at your PC and wondering what sort of GPU you might need to power local LLMs, the good news is it doesn't have to be as expensive as you think. Allow me to explain.

Unlike other apps such as LM Studio or Ollama, Llama.cpp is a command-line utility. To access it, you'll need to open the terminal and navigate to the folder we just downloaded. Note that, on Linux, ...

There are various different ways to run LLMs locally on your Windows machine, and Ollama is one of the simplest.

This app gives you the full desktop PC experience on an Apple computer.

Compiler Explorer is revolutionizing CUDA development by offering a seamless web-based platform for writing, compiling, and running GPU kernels, fostering collaboration and innovation.

In a CUDA-dominated development landscape, translating CUDA source code to alternative programming models can be challenging and often lacks direct feature parity. This paper introduces SoftCUDA, a ...

I just spent $3,000 on a new gaming PC with a high-end AMD CPU and a screaming-fast Nvidia GeForce 5080 GPU. You’d think I’d be able to run the latest AI features in Windows with that, right ...

In February, It's Foss News reported that a WSL image for Arch Linux was on its way, and as of now, it has become official-- Arch Linux is available. Windows Subsystem for Linux is a compatibility ...

Among the examples provided, running Qwen 2.5 0.5B on 1 node with 1 GPU works without any issues. However, the Deepseek example, which runs on 1 node with 8 GPUs, fails to run and produces the erro ...