I wanted to start a broader ideas worth trying thread around GPUs.
A useful angle is testing, but it also connects with performance. 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 is genuinely useful and where it still needs improvement.
A useful angle is testing, but it also connects with performance. 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 is genuinely useful and where it still needs improvement.