You don't need the newest GPUs to save money on AI; simple tweaks like "smoke tests" and fixing data bottlenecks can slash your cloud bill and carbon footprint.
XDA Developers on MSN
Intel's $949 GPU has 32GB of VRAM for local AI, but the software is why Nvidia keeps winning
Intel's AI-related software has been getting better, but it's still not great.
Ready for a Linux laptop? I recommend a Tuxedo to beginners and pro users alike ...
Google dropped Gemma 4 on April 2, 2026, and it's a game-changer for anyone building AI. These open models pull smarts straight from Gemini 3, Google's top ...
Apple has signed a driver for AMD or Nvidia eGPUs connected to Apple Silicon but there are some big caveats, and it won't ...
Is the king of AI infrastructure about to lose its crown?
Internal software documentation from the LLVM compiler project recently added two identifiers, GFX1171 and GFX1172, marking ...
Google's Gemma 4 open models deliver frontier AI performance on a single Nvidia GPU, with Apache 2.0 licensing and native ...
Have an AI PC with an NPU, but have no idea how to make the most of it? You might want to start with one of these 7 great ...
Benchmark test results from Phoronix show KDE Plasma 6.6 consistently outperforming GNOME 50 on Ubuntu 26.04 while using both AMD and Nvidia graphics cards. While these results could vary based on ...
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