I found a tool like MSI Afterburner for Linux, and you can automate your GPU's undervolt
… The developer has verified the tool works on his RTX 5090, and I can confirm it works on my RTX 5080, but any other configuration is not guaranteed to work. …
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AMD just dropped a compact AI workstation that makes discrete GPUs look outdated for running LLMs
… These capable compact boxes will allow developers and prosumers to run local LLMs with up to 192 GB of unified memory. …
I use Claude and local LLMs together now, and it costs half as much while being twice as fast
…It's also true that the best AI tools don't come cheap. Claude Opus 4.7 is undeniably one of the most capable models for creative and programming work, and that…
I've been running some of the biggest open-weight LLMs for free on Nvidia's cloud
… You sign up at build.nvidia.com with the free Nvidia Developer account, you generate an API key prefixed with "nvapi-", and that's about it. …
Your GPU, RAM, and SSD all have firmware you've never updated, and it can actually matter
… Your PC has more updatable firmware than you probably realized, and the reason most of it never gets touched is that the tooling and delivery mechanisms just aren't there yet to protect users in the case of a bad update. …
I defended DLSS for years, but DLSS 5's AI slop crosses a line that shouldn't exist
… Developers might design a scene with a specific mood in mind, only for DLSS 5 to reinterpret it into something cleaner, brighter, or more "appealing." We've already seen how games launch in rough shape, with performance all over the place, and then the solution boils down to "just turning on DLSS."… …
You don't need an expensive GPU to run a local LLM that actually works
…While TensorFlow Serving and CUDA Toolkit are real AI infrastructure tools, they require significantly more setup. Ollama is purpose-built for running LLMs locally and works on Mac, Linux, and Windows with…
I ran Nvidia's NemoClaw to see if OpenClaw is finally safe, but it still has the same problems
… In my spare time, you’ll probably find me playing Counter-Strike or VALORANT, and you can reach out to me at adam@xda-developers.com , on Twitter as @AdamConwayIE , on Instagram as AdamConwayIE , or u/AdamConwayIE on Reddit. …
Nvidia's biggest advantage against AMD isn't raster or ray-tracing, it's everything else around the card
… It's a reflection of how deeply CUDA has embedded itself into the developer ecosystem over two decades. …
Intel's $949 GPU has 32GB of VRAM for local AI, but the software is why Nvidia keeps winning
… I've tested local LLMs on an Intel Arc A770, and it doesn't help that Intel hasn't really worked out its AI strategy yet when it comes to local tooling. …