Do I have the high level takeaways here correct? Forgive my use of the phrase “Training size,” but I know very little about diferent chips, so I am trying to distill it down to simple numbers.
2024:
a) OpenAI revenue: $3.7 billion.
b) Training size: 3e26 to 1e27 FLOPs.
c) Training cost: $4-5 billion.
2025 Projections:
a) OpenAI revenue: $12 billion.
b) Training size: 5e27 FLOPs.
b) Training cost: $25-30 billion.
2026 Projections:
a) OpenAI revenue: ~$36 billion to $60 billlion.
At this point I am confused: why you are saying Rubin arriving after Blackwell would make the revenue more like $60 billion? Again, I know very little about chips. Wouldn’t the arrival of a different chip also change OpenAIs cost?
b) Training size: 5e28 FLOPs.
c) Training cost: $150 billion.
Assuming investors are willing to take the same ratio of revenue : training cost as before, this would predict $70 billion to $150 billion. In other words, to get to the $150 billion mark requires that Rubin arrives after Blackwell, openAI makes revenue $60 billion in revenue, and investors take a 2.5 multiplier for $60 x 2.5 = $150 billion.
Is there anything else that I missed?
Thank you very much, this is so helpful! I want to know if I am understanding things correctly again, so please correct me if I am wrong on any of the following:
By “used for inference,” this just means basically letting people use the model? Like when I go to the chatgpt website, I am using the datacenter campus computers that were previously used for training? (Again, please forgive my noobie questions.)
For 2025, Abilene is building a 100,000-chip campus. This is plausibly around the same number of chips that were used to train the~3e26 FLOPs GPT4.5 at the Goodyear campus. However, the Goodyear campus was using H100 chips, but Abilene will be using Blackwell NVL72 chips. These improved chips means that for the same number of chips we can now train a 1e27 FLOPs model instead of just a 3e26 model. The chips can be built by summer 2025, and a new model trained by around end of year 2025.
1.5 years after the Blackwell chips, the new Rubin chip will arrive. The time is now currently ~2027.5.
Now a few things need to happen:
The revenue growth rate from 2024 to 2025 of 3x/year continues to hold. In that case, after 1.5 years, we can expect $60bn in revenue by 2027.5.
The ‘raised money’ : ‘revenue’ ratio of $30bn : $12bn in 2025 holds again. In that case we have $60bn x 2.5 = $150bn.
The decision would need to be made to purchase the $150 bn worth of Rubin chips (and Nvidia would need to be able to supply this.)
More realistically, assuming (1) and (2) hold, it makes more sense to wait until the Rubin Ultra comes out to spend the $150bn on.
Or, some type of mixed buildout would occur, some of that $150bn in 2027.5 would use the Rubin non-Ultra to train a 2e28 FLOPs model, and the remainder would be used to build an even bigger model in 2028 that uses Rubin Ultra.