I wanted to start a broader ideas worth trying thread around GPUs for Local AI.
A useful angle is customisation, but it also connects with accessibility. Different tools and workflows can produce very different results even when the goal is similar.
It would be interesting to compare practical examples, experiments, setups, or lessons that show where GPUs for Local AI is genuinely useful and where it still needs improvement.
A useful angle is customisation, but it also connects with accessibility. Different tools and workflows can produce very different results even when the goal is similar.
It would be interesting to compare practical examples, experiments, setups, or lessons that show where GPUs for Local AI is genuinely useful and where it still needs improvement.
