…It ran smoothly on my setup through GPU offloading, even though it’s officially designed for 16GB of VRAM. For most things, it was fine. I would primarily prompt it for quick…
…First is connecting different apps and systems, second is building LLM apps and RAG workflows, and third is running models locally for privacy. n8n fits into the first layer. It’s built…
…It actually fits into my setup Integrations are simple Using a local LLM on its own is all good and well if it’s just for the purposes of extracting information. But…
…What most people leave out is that running LLMs locally isn't really for everyone, including me. First up, you need seriously powerful hardware Hope you like the sound of fans The…
…LLMs have a reputation for needing serious hardware, and I assumed the experience wouldn’t feel as smooth as the cloud-based tools I was used to. My writing workflow depends heavily…
…Google Antigravity See at Google Antigravity Related I tried caring about ChatGPT and Claude, but I still haven't found a real need for LLMs LLMs can do a lot, but they…
…Related 7 things I wish I knew when I started self-hosting LLMs I've been self-hosting LLMs for quite a while now, and these are all of the things I…
…Related Your old GPU can still run big LLMs – you just need the right tweaks There's a lot you can do with these models Integrating local LLMs with VS Code increased…
…If you’re not on Apple Silicon, you’ll likely need a dedicated GPU to get a decent experience, because CPU-only setups tend to be painfully slow for anything beyond very…
…how deep the conversation can actually go for anyone with a smaller GPU. Related I ran the same prompts through Claude and my local LLM, and the results weren't what I…