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Is local AI the actual endgame? (M5 Mac Studio vs. Dual 3090s)

Reddit r/LocalLLaMA / 5/1/2026

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Key Points

  • The post asks whether “local AI” is really the long-term endgame for power users, or whether cloud-hosted frontier models will permanently outpace local setups.
  • It compares two prospective upgrade paths: buying an upcoming high-end M5 Mac Studio Ultra with large unified memory versus building a classic workstation setup using two used RTX 3090 GPUs.
  • The author currently relies on Gemini and NotebookLM and is considering the shift to local AI primarily for privacy and access to uncensored models.
  • A third option is discussed: waiting, since software and quantization progress may soon enable impressive model performance on cheaper hardware.
  • The writer seeks realistic, long-term investment advice on whether the substantial hardware spending now is justified and what to do next.

Hey everyone,

I currently use Gemini and NotebookLM a lot, but I really want to transition to local AI for things like privacy and uncensored models. Before dropping serious cash though, I have to ask: is local AI the actual future for power users, or will the big cloud models just permanently outpace us? Or is there something else i didnt even know about coming soon?

If you were to invest long-term right now, what is the smartest move? Should I wait for an M5 Mac Studio Ultra, even if it costs 4 to 7k, just for the massive unified memory? Or is it better to build a classic setup with two used RTX 3090s? I've got an old Dell Precision T5810 with Intel Xeon E5-2680 v4 and 128GB Ram.

Or is there a third option: just wait? Software and quantization seem to be improving so fast. Are we reaching a point where we can run amazing models on much cheaper hardware soon anyway?

Is it worth the heavy hardware investment right now? Would love to hear your realistic thoughts.

submitted by /u/Party-Log-1084
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