Goodbye cold boot - how we made LoRA Inference 300% faster

look, the magic isn't in the cold boot itself, it's in the quantization and weight sharing we pushed. we managed to squeeze 300% efficiency out of LoRA inference by cutting down the memory footprint dramatically. that's pure low-level kernel optimization and smart model pruning, not some magical new algorithm. it just proves that if you mess with the weights aggressively enough, you can squeeze out performance on existing infrastructure. it's smart, but it's optimization, not a fundamental breakthrough.