Simulation 2

New Market Entry

SET IN — THE CAPACITY RACE, A GPU CLOUD COMPUTE MARKET

Students run GPU compute providers deciding how much capacity to build and how much of it to actually rent out each round — and, separately, play the role of a new entrant deciding whether, and when, to step into a market someone else already occupies.

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The academic idea

Entry timing, commitment, and installed capacity

A market is already running when a new firm has to decide whether to step into it — and that decision isn't just yes or no, it's a question of timing against a moving target. Meanwhile, the incumbents already inside face their own version of the same tension: how much capacity to commit to before knowing whether the demand will be there to use it. Students feel both sides of that trade-off, often in the same session.

The simulation is built so you can teach several different configurations of that tension, without switching tools:

  • Sunk vs. flexible capacity. Configure whether installed capacity is a one-way ratchet — once committed, it can never be reduced, only added to — or fully flexible, recoverable at the price it was acquired. The same market can teach very different lessons about commitment depending on which you choose.
  • One-shot vs. repeated entry. Decide whether a firm that declines to enter is locked out for good, or free to reconsider in any later round — isolating how much of the "first-mover" story depends on entry actually being irreversible.
  • Multi-market competition. Run several markets at once, with the same teams playing an incumbent in one and a prospective entrant in another — so a team defending its position in one market may be the one knocking on the door in the next.
The scenario

The Capacity Race

Each team runs a GPU compute provider, renting out processing power to AI companies that need it. Every round, incumbent teams decide how many GPU-hours to bring to market; price falls as total supply across every active provider rises. Starting from a configurable round, a new entrant can choose whether to build in and compete too — reshaping the market for everyone already there.

Cost is driven by installed capacity — the hardware a firm has committed to — while price responds to what's actually rented out that round, so a firm can genuinely own more than it's using, exactly like the real over-build risk playing out in this industry today.

A vast data center hall with endless rows of illuminated server racks and a single engineer walking the central aisle

Running a session

What you'll set up, and what students see.

TEACHER

Configure & assign

Set the number of markets, incumbent and entrant firms per market, and student teams — choose sunk or flexible capacity and when entry opens — then assign each team to a firm seat.

STUDENTS

Join & decide

Incumbent teams submit production each round; entrant teams wait for their entry round, then decide whether to step in — watching price, capacity, and profit respond once you reveal.

TEACHER

Reveal & export

Reveal rounds on your own pace, correct a mistake if needed, and download the full results as a spreadsheet for the debrief.

Ready to run a session?

Works on any device — students only need the team code you give them in class.

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