A few teams like his are notorious for requiring a ton of computation as they try out different novel approaches, particularly in the context of training rather than inference.
Bryan will sometimes comment on HN, so we may get lucky.
> For my team, the cost of compute is far beyond the costs of the employees," Bryan Catanzaro, vice president of applied deep learning at Nvidia, told Axios
He me means they spend more on in house GPUs then employees because of experiments and research thats one thing.
If he means they are running up an OpenAI/Anthropic API bill on coding agents that would be surprising.
Even years ago Nvidia gave their engineers generous access to some of their own internal GPU farms, so that they could run all sorts of different experiments for software and hardware features. You can look into his team's publications, if you want to learn more about the sort of thing they do.