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

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, ...

Sample CUDA projects for the CUDA by Example book. Contribute to jaderock/cuda-by-example development by creating an account on GitHub.

Think of it as your Mac or Windows powerhouse in your pocket. Whether you're coding from a Chromebook, designing on your tablet, reviewing spreadsheets from your phone, or pitching a presentation ...

Microsoft can't stop talking about Copilot+ PCs and how they enable the AI-based future of Windows. But after testing one of the company's flagship models (a Surface Laptop 7) for a year, I simply ...

Despite misconceptions surrounding performance requirements, even a seven-year-old laptop can effectively run local AI models like Ollama, proving that age and specs aren't always obstacles in ...

Describe the bug I'm using triton TOT to run VLLM and pytorch on aarch64 and cuda13. While starting vllm I get the following error: Failed to run autotuning code block: CUDA driver error: invalid ...