{
  "script": [
    {
      "text": "Trying to declare any single piece of local hardware the absolute best for running Large Language Models is pure, idiotic hubris, Morty.",
      "character": "Rick Sanchez"
    },
    {
      "text": "Wait, if the RTX Pro 6000 is expensive, does that automatically make it the best?",
      "character": "Morty Smith"
    },
    {
      "text": "It's about specific benchmarks, you idiot; suitability depends on the required parameters and your damn workload.",
      "character": "Rick Sanchez"
    },
    {
      "text": "So, it's useless unless we know the model? That seems like a dumb way to buy a GPU.",
      "character": "Morty Smith"
    },
    {
      "text": "Look at the memory bandwidth; you need enough VRAM to keep the weights loaded, not just a big chunk of silicon.",
      "character": "Rick Sanchez"
    },
    {
      "text": "Oh geez, VRAM? Aw man, I thought more processing power was the whole point, not just how much it can remember.",
      "character": "Morty Smith"
    },
    {
      "text": "Bigger processing power means shit if the hard drive is too slow to feed the GPU architecture.",
      "character": "Rick Sanchez"
    },
    {
      "text": "But I read that even with a pro card, huge sequence lengths still cause slowdowns, doesn't it?",
      "character": "Morty Smith"
    },
    {
      "text": "Yeah, sheer data movement is wasteful crap, but hey, you're finally noticing the fundamentals.",
      "character": "Rick Sanchez"
    },
    {
      "text": "So, there isn't one definite winner? It's just... marginally less bad than the other junk?",
      "character": "Morty Smith"
    },
    {
      "text": "It's a complicated compromise. You have to be an engineer, not just drop cash.",
      "character": "Rick Sanchez"
    },
    {
      "text": "Right. So I guess I'll just go stare at the price tag until it decides to be less stupid.",
      "character": "Morty Smith"
    }
  ]
}