The Desktop AI Metric That Actually Matters: Why Memory Bandwidth Beats Raw Power

NVIDIA's RTX Spark launch has ignited passionate debate, but both enthusiasts and skeptics miss a critical reality: for practical LLM inference, memory bandwidth—not raw computational power—is the true performance bottleneck. This distinction fundamentally changes how we should evaluate desktop AI hardware, positioning memory architecture as the decisive factor in whether consumer AI inference becomes mainstream.