Right, but are those going to run on Apple-owned hardware at all? It seems like Apple will first prioritize their models running on-device, then their models running on Apple Silicon servers, and then bail out to ChatGPT API calls specifically for Siri requests that they think can be better answered by ChatGPT.

I'm sure OpenAI will need to beef up their hardware to handle these requests - even as filtered down as they are - coming from all of the Apple users that will now be prompting calls to ChatGPT.

they're going to be using nvidia (or maybe AMD if they ever catch up) to train these models anyways

not necessarily so, in terms of tflops per $ (of apple’s cost of gpus, nit consumer), and tflops per watt their apple silicon is comparable if not better

> and tflops per watt their apple silicon is comparable if not better

If Apple currently ships a single product with better AI performance-per-watt than Blackwell, I will eat my hat.

flops/$ is simply not all (or even most) that matters when it comes to training LLMs.... Apple releases LLM research - all of their models are trained on nvidia.

Which is only a subset of requests Apple devices will serve and only with explicit user permission. That’s going to shrink over time as Apple continue to advance their own models and silicon.

Plus even if Apple is using their own chips for inferencing, they're still driving more demand for training, which Nvidia still has locked down pretty tight.

Apple said they’re using their own silicon for training.

Edit: unless I misunderstood and they meant only inference.

without more details hard to say, but i seriously doubt they trained any significantly large LM on their own hardware

people on HN routinely seem to overestimate Apple's capabilities

e: in fact, iirc just last month Apple released a paper unveiling their 'OpenElm' language models and they were all trained on nvidia hardware

Interesting, I thought Apple Silicon mainly excelled at inferencing. Though I suppose the economics of it are unique for Apple themselves since they can fill racks full of barebones Apple Silicon boards without having to pay their own retail markup for complete assembled systems like everyone else does.

They trained GPT-4o on Apple Silicon? I find that hard to believe, surely they only mean that some models were trained with Apple Silicon.

Not GPT-4o, their own models that power some (most?) of the “Apple Intelligence” stuff.