They have models for that. That's what the Nemotron series is. Not just open weights but open training data too and full tutorials on how to use them to fine tune or train your own models.
They exist to keep people using and advancing the tools on their hardware.
How? Imagine an open-weight model comes out that is somehow better than proprietary solutions. Now the marginal cost for the consumer is just the cost of renting the inference hardware, without having to pay the overhead of the owner of a proprietary model. And because it is cheaper, more customers want to use it, and Nvidia will sell the providers the inference hardware that they need.
But it is in their interest that their customers can use their models as a base for post-training and LoRAs.
They don’t necessarily need their own models for that
They have models for that. That's what the Nemotron series is. Not just open weights but open training data too and full tutorials on how to use them to fine tune or train your own models.
They exist to keep people using and advancing the tools on their hardware.
Why not? Commoditize your complement, and all that.
And if they get too good, they risk harming or otherwise killing their golden geese (their customers), who they are heavily invested in.
How? Imagine an open-weight model comes out that is somehow better than proprietary solutions. Now the marginal cost for the consumer is just the cost of renting the inference hardware, without having to pay the overhead of the owner of a proprietary model. And because it is cheaper, more customers want to use it, and Nvidia will sell the providers the inference hardware that they need.
2 replies →