Comment by simonw
12 hours ago
If that did happen, how would the government then issue those resources?
OpenAI ask for 1m GPUs for a month, Anthropic ask for 2m, the government data center only has 500,000, and a new startup wants 750,000 as well.
Do you hand them out to the most convincing pitch? Hopefully not to the biggest donor to your campaign.
Now the most successful AI lab is the one that's best at pitching the government for additional resources.
UPDATE: See comment below for the answer to this question: https://news.ycombinator.com/item?id=46438390#46439067
National HPC labs have been over subscribed for decades with extensive queueing/time sharing allocation systems.
It would still likely devolve into most-money-wins, but it is not an insurmountable political obstacle to arrange some sort of sharing.
Edit: I meant to say over subscribed, not over provisioned. There are far more jobs in the queue than can be handled at once
Huh, TIL - thanks for the correction.
https://www.ornl.gov/news/doe-incite-program-seeks-2026-prop...
> The Innovative and Novel Computational Impact on Theory and Experiment, or INCITE, program has announced the 2026 Call for Proposals, inviting researchers to apply for access to some of the world’s most powerful high-performance computing systems.
> The proposal submission window runs from April 11 to June 16, 2025, offering an opportunity for scientific teams to secure substantial computational resources for large-scale research projects in fields such as scientific modeling, simulation, data analytics and artificial intelligence. [...]
> Individual awards typically range from 500,000 to 1,000,000 node-hours on Aurora and Frontier and 100,000 to 250,000 node-hours on Polaris, with the possibility of larger allocations for exceptional proposals. [...]
> The selection process involves a rigorous peer review, assessing both scientific merit and computational readiness. Awards will be announced in November 2025, with access to resources beginning in 2026.
Not sure OpenAI/Anthropic etc would be OK with a six month gap between application and getting access to the resources, but this does indeed demonstrate that government issued super-computing resources is a previously solved problem.
Well, people bid for USA government resources all the time. It's why the Washington DC suburbs have some of the country's most affluent neighborhoods among their ranks.
In theory it makes the process more transparent and fair, although slower. That calculus has been changing as of late, perhaps for both good and bad. See for example the Pentagon's latest support of drone startups run by twenty-year-olds.
The question of public and private distinctions in these various schemes are very interesting and imo, underexplored. Especially when you consider how these private LLMs are trained on public data.