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I switched from Cursor to Claude Code. Here’s what surprised me.
After months in Cursor, I moved to Claude Code for my homelab scripts. The transition wasn't smooth, but the tradeoffs are worth examining.
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Hands-on guides and free tools for builders running LLMs, Immich, Frigate, Paperless-ngx, and Docker on real homelab hardware. No fluff. No paid placements.
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Can You Run Llama, Qwen, or DeepSeek on Your Hardware?
Pick your GPU and RAM — see exactly which local LLMs will run, with real tokens-per-second estimates. Updated for 2026.
Can I Run This LLM Locally?
Select your hardware → see which models you can actually run, with real performance estimates.
Estimates are based on community-reported benchmarks. Actual performance varies by quantization, context length, and backend (Ollama, llama.cpp, vLLM). Amazon links are affiliate links — we may earn a commission at no extra cost to you.
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