The Game Chip and the Scientists
This note reveals the outcome. Participants should decide the case first, on their own devices, before the discussion.
- Who it was
- Nvidia and CUDA, 2006–2008
- The question
- Do you build general-purpose computing into every graphics chip you sell, including the cheap ones for gamers, and give away the software to program it?
- What they chose
- Put the general-purpose computing features into every chip, from the cheapest to the most expensive, and give programmers a free toolkit in a familiar language.
- Judgement
- Paid off Sound process
- Session length
- 60 minutes, for 4 to 40 participants
Learning objectives
- Understand why a programming platform needs an installed base before developers commit.
- Weigh exploiting a known market against exploring an unknown one.
- Recognise survivorship bias in famous platform bets.
Session plan
- Read the situation, what is known and unknown, and the voices in the room. No discussion yet.
- Each participant chooses an option on the case page, states a confidence and writes a one-line pre-mortem: if this choice fails, the most likely reason is…
- Debate by option. Ask each group what it would tell investors about the cost of its option.
- Reveal the outcome.
- Discuss why the process is graded Sound rather than Strong: what made the bet reasonable, and what made it depend on luck and on the company's ability to wait?
- Transfer: participants identify a capability that could become a platform in their organisation if it were put where users already are.
The case page records each participant’s choice, confidence and pre-mortem in their own browser, and scores the confidence once the outcome is revealed. Nothing is sent anywhere, so it can be used in any classroom.
Questions before the reveal
- Gamers will pay for the extra circuits whether or not they use them. Is that fair to them, and is it wise?
- Why might a separate product for scientists build a smaller community than putting the capability in every chip?
- What would have to happen for an open standard to make your own platform irrelevant?
Questions after the reveal
- The market that justified the bet, deep learning, was not visible in 2006. Does that make the decision lucky?
- What did the company's gaming business make possible that a weaker company could not have done?
- What stopping rule should the company have set, and did it need one?
The key facts on one page
- The company's first chip with the unified architecture launched on 8 November 2006; a free public beta of the programming toolkit followed in February 2007.
- A dedicated computing card launched in mid-2007 at about $1,499.
- In 2008 the company took a $196 million charge for defective notebook chips, and its share price fell 76 percent over the year, for several reasons.
- In 2012 a deep neural network trained on two of its gaming cards won the ImageNet competition.
- In fiscal 2026 its data-centre revenue was $193.7 billion.
Where discussions go wrong
- Reading the outcome back into the decision. In 2006 the size of the market was unknowable.
- Attributing the whole 2008 share-price fall to the bet; a product defect and the financial crisis also struck that year.
The forces at work
- The chicken and the egg: Programmers would write software for the chips only if many people owned them, and buyers would value the capability only if useful software existed. Putting the hardware in every gaming PC was a way to build one side of the market before the other existed.
- Exploring against exploiting: The gaming business was large, competitive and profitable. Every square millimetre of chip spent on computing for unknown customers was taken from a known market, which is the classic tension between exploiting what works and exploring what might.
- Lock-in, for good or ill: The first programming model to win developers' habits, libraries and code would be very hard to dislodge later. That made being early valuable, and made the cost of being early worth bearing.
- An unknowable market: There was no data on how large general-purpose computing on graphics chips might become. The decision could not be settled by forecasting, only by judgement about what an install base might make possible.
- The story we tell afterwards: This bet is famous because it worked. Many companies made costly platform bets that never found their market, and they are rarely studied.
A capability that might become a platform has to be put where people already are, and paid for long before anyone can prove it was worth it.
Pairs well with: The idea Markets With Two Sides and the essay on compute.
Where this comes from
Sources
- Ian Buck and others, “Brook for GPUs. Stream Computing on Graphics Hardware,” ACM Transactions on Graphics 23, no. 3 (2004), 777–786.
- “Inside the programming evolution of GPU computing,” NVIDIA Developer Blog and The Next Platform, October 2015. Ian Buck's account of Brook and the origins of CUDA.
- “Nvidia's CUDA. The End of the CPU?” Tom's Hardware, 2008. CUDA introduced with the GeForce 8800; beta SDK in early 2007.
- “Nvidia launches Tesla,” The Register, June 2007.
- NVIDIA, Form 10-Q for the quarter ended 27 July 2008. The $196.0 million charge for weak die and packaging material in notebook products.
- NVIDIA, press release on second-quarter fiscal 2009 results, August 2008.
- Macrotrends, NVIDIA stock price history. Share price change of −76 percent in calendar 2008.
- Jensen Huang, interview with Lex Fridman, transcript. Huang's recollection of the cost of CUDA and its effect on gross profit and market value.
- “Intel Larrabee cancelled,” bit-tech, December 2009.
- Alex Krizhevsky, Ilya Sutskever and Geoffrey E. Hinton, “ImageNet Classification with Deep Convolutional Neural Networks,” Advances in Neural Information Processing Systems 25 (2012).
- NVIDIA, “NVIDIA Announces Financial Results for Fourth Quarter and Fiscal 2026,” 25 February 2026.
- Tae Kim, The Nvidia Way (W. W. Norton, 2024).
Teaching note by Shrikant Kumar. Free to use in classrooms and workshops with attribution.
Shrikant Kumar. “Teaching note: The Game Chip and the Scientists.” Decide case teaching note, Telos. https://shrikantk.com/decide/the-game-chip/teaching/