2 min lesson
Pillar 2 - GPU & capacity allocation
Work through this: "A leader says the GPU fleet is at capacity and asks whether to buy more. What sequence of moves shows the strongest capacity judgment and what's the boundary on your authority?"
Step 1 of 2
Capacity is where cost meets physics. GPUs are expensive, power-hungry and slow to acquire, so you cannot just spin up more on a whim. The framework you build decides how much the company commits to versus how much it rents by the hour.
The core design choice is reserved baseline versus on-demand burst. Reserve too much and you pay for idle silicon; reserve too little and you scramble for expensive capacity the moment a model launch spikes demand.
Interactive diagram. Tab through its regions; each focused region shows its detail in the panel below.
The framework you build decides how much the company commits to versus rents by the hour.