Optimize Gemma 3 Inference: vLLM on GKE 🏎️💨

GKE Autopilot's GPU means business—AI inference tasks don’t stand a chance. Just two arguments and, bam, you’ve unleashed NVIDIA's beastly Gemma 3 27B model, which chugs a massive 46.4GB VRAM. ⚡️ Meanwhile, vLLM squeezes the models with bf16 precision, though optimization requires wrestling with algorithms that could make anyone’s head spin. NVIDIA's double-barrel A100s floor it at 411 Tokens/s, burning through $2.84 million tokens like a hot knife through butter. CPUs? They dawdle—like a sloth trying to sprint. 💸