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Ask HN: Any way to borrow compute from Apple M1

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Re: Ask HN: Any way to borrow compute from Apple M1

#21

Earlier quoted context omitted.

If apple offers these in a data center that’s open access it’s game over for NVDA

Based on which fantasy premise?

The premise where these are readily available for mass purchase, have a hardware and software stack that already works reliably, and have a lower energy footprint than other offerings

and somewhat competitive on cost, but that wont be the main selling point, just availability

Re: Ask HN: Any way to borrow compute from Apple M1

#22
post #15

With "borrow" in scare quotes, do you intend for him to be aware of his generosity?

Probably just because in the full phrasing, ``i would like to "borrow" his gpu``, omitting the scare quotes would paint the picture of their friend unplugging/unsoldering their GPU and lending it to the author.

Re: Ask HN: Any way to borrow compute from Apple M1

#23
post #15

With "borrow" in scare quotes, do you intend for him to be aware of his generosity?

Probably just because in the full phrasing, ``i would like to "borrow" his gpu``, omitting the scare quotes would paint the picture of their friend unplugging/unsoldering their GPU and lending it to the author.

My friend Kevin was once building a graphics engine, and to test it on various GPUs he’d borrow them from Best Buy and return them within the 30 day window. Since there was a restocking fee, it seemed like a non-harmful and clever way to test a bunch of configurations.

Re: Ask HN: Any way to borrow compute from Apple M1

#24

For llama3 just ask him to install ollama and serve the model. Ollama has auto memory management and will free the model when not used, and whenever you make a call to the API (do let your friend know before you do this) ollama will reload the model back to memory again. Not sure whether there are anything similar for SD though.

This, plus connect via Tailscale and you can access it from anywhere (assuming you're friends laptop is online).

Re: Ask HN: Any way to borrow compute from Apple M1

#25

> i do not want to remote into his machine > tailscale/zerotier Same thing isn't it? In any case it wouldn't be hard for you to just have an account on his machine, tailscale being perhaps the simplest setup. SSH in, cook his laptop at your leisure.

With Tailscale you could access the port serving the models API (assumedly via ollama or similar) so the friend wouldn't have to grant any access beyond that.

Re: Ask HN: Any way to borrow compute from Apple M1

#26
I had to do this fairly recently to make krita-diffusion available for my friends and family who don't have a 3090ti laying around. Probably the simplest way would be to run a local http service on your friend's M1 that is ssh tunneled to a server that you'll access over http. On the server you'll need to reverse-proxy the tunneled port to a public address and port.

You make http requests to the shared server, those get proxied via the ssh tunnel to his machine, and the client on his machine could make the determination when/whether to run the workload.

Re: Ask HN: Any way to borrow compute from Apple M1

#27

An off-topic question, are Apple's M-series chips any good at current AI/ML work? How does it compare with dedicated GPUs?

I have an M3 chip in my laptop, it has more memory than my 4090 but it's still way slower when inferencing. So as long as the model fits in memory, Nvidia GPUs are going to be way faster just because they have more/faster compute cores. Of course, if the model fits in memory on your M chip and doesn't in your Nvidia chip, the M chip wins by default. However, I would say, if you load a 70B model in your M chip, while…

How does the inference for LLMs impact battery life? For SD it can be 5% battery per image at times.

Re: Ask HN: Any way to borrow compute from Apple M1

#28

Earlier quoted context omitted.

Based on which fantasy premise?

The premise where these are readily available for mass purchase, have a hardware and software stack that already works reliably, and have a lower energy footprint than other offerings and somewhat competitive on cost, but that wont be the main selling point, just availability

They aren't even on the same league, computing-wise.

Re: Ask HN: Any way to borrow compute from Apple M1

#29

Earlier quoted context omitted.

Based on which fantasy premise?

The premise where these are readily available for mass purchase, have a hardware and software stack that already works reliably, and have a lower energy footprint than other offerings and somewhat competitive on cost, but that wont be the main selling point, just availability

For the purposes we're discussing, they're nowhere near competitive with Nvidia.
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