The Efficiency Math: How One New GPU Replaces 10 Old Servers скачать в хорошем качестве

The Efficiency Math: How One New GPU Replaces 10 Old Servers

Everyone panics when Microsoft or Amazon drops $10 billion on NVIDIA chips. "They're burning cash." "It's unsustainable." "AI is a bubble." But they're all missing something critical: buying the chips isn't the expensive part. Running them is. And that changes everything. What This Video Covers: Why operating costs dwarf hardware costs in AI infrastructure How power and cooling bills can be 10x the cost of the chips Why modern GPUs pay for themselves in under 2 years The efficiency math: replacing 10 old servers with one new GPU How to read earnings calls for the real spending story The one question that reveals if chip spending is smart If this flipped how you see AI spending headlines, hit subscribe—I break down the numbers behind the noise every week.