One tiny change made my local LLMs more useful than ChatGPT for real work
… Sign in to your XDA account As much as I adore my local LLMs, they can’t hold a candle to the reasoning capabilities of their cloud counterparts, and for good reason. …
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My self-hosted LLMs are a lot more than just a chat replacement – here's how they boost my productivity
3d agoI use Claude and local LLMs together now, and it costs half as much while being twice as fast
5d agoTrying to self-host LLMs made me realize local AI has a friction problem, not a quality problem
5d agoAMD just dropped a compact AI workstation that makes discrete GPUs look outdated for running LLMs
1w agoLocal LLMs work best when you're not loyal to just one
… Switching between LLMs lets you harness their unique capabilities If I were to stick to a specific model family, I’d be significantly bottlenecking the potential of my local LLM servers. So, I tend to use a bunch of LLMs in my workflow, and cycle between them depending on my needs. …
Claude Code with a local LLM running offline is the hybrid setup I didn't know I needed
… And that's also why the local LLM helps. Claude Code already has a switch between Opus, Sonnet, and Haiku, and setting up an Anthropic API-capable local LLM slots in as a fourth. …
Claude Code, Codex, and Pi can create their own AI agents now, and that changes everything
… It's not been six months since orchestrators for Claude and other LLMs started taking over GitHub, but that's a long time in frontier model time, and the LLMs have gotten exponentially better since. …
I used Claude Code with a local LLM on Ollama, and it’s surprisingly capable for something that's free
… A local LLM is worth the hassle A local LLM It is not as good as using something like Claude through the cloud, but it is still far better than having nothing. …
Self-hosted AI may not be for everyone, but I'm done paying for ChatGPT and other cloud models
… 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 learned over time that I wish I knew at the start. …
You don't need an expensive GPU to run a local LLM that actually works
… But we won't need to be running 32B models to make the most of LLM capabilities. Quiz 8 Questions · Test Your Knowledge You don't need a beefy GPU to run a local LLM Trivia challenge Think you know your way around local AI? Test your knowledge of running LLMs without breaking the bank. …
I added a second GPU just for local AI workloads, and it cost less than upgrading my main one
… A cheap, pre-owned GPU is all you need for local LLMs Cloud AI tools can do a lot more than locally hosted LLMs, but there are times when you don't want to upload your data to the cloud. Local LLMs have come a long way in a few years, and you don't even need one of the latest GPUs to run them. …
Self-hosted LLMs are way more powerful than a chat interface, here’s how I utilize it fully
… Related 5 self-hosted LLMs I use for specific tasks My customized, self-hosted AI workflow What makes self-hosted LLMs actually powerful The power of the always-on local intelligence layer The true strength of a self-hosted LLM isn't found in a sleek UI; it’s in the infrastructure. …
Running Claude Code locally saved me money, but that wasn't even the real win
… Related My local LLM can call Claude when it's stuck, and it changed everything about my local-first setup Local LLMs aren't very good on their own Freedom in model choice makes AI workflows better Using the frontier models for every task is a waste of tokens. …