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Outside of YouTube influencers, I doubt many home users are buying a 512G RAM Mac Studio.
by icedchai 11mo ago
Outside of YouTube influencers, I doubt many home users are buying a 512G RAM Mac Studio.
- FireBeyond 11mo agoI doubt many of them are, either. When the 2019 Mac Pro came out, it was "amazing" how many still photography YouTubers all got launch day deliveries of the same BTO Mac Pro, with exactly the same spec: 18 core CPU, 384GB memory, Vega II Duo GPU and an 8TB SSD. Or, more likely, Apple worked with them and made sure each of them had this Mac on launch day, while they waited for the model they actually ordered. Because they sure as hell didn't need an $18,000 computer for Lightroom.
- lukeh 11mo agoStill rocking a 2019 Mac Pro with 192GB RAM for audio work, because I need the slots and I can’t justify the expense of a new one. But I’m sure a M4 Mini is faster.
- NSUserDefaults 11mo agoHow crazy do you have to get with # of tracks or plugins before it starts to struggle? I was under the impression that most studios would be fine with an Intel Mac Mini + external storage.
- DrStartup 11mo agoI'm neither and have 2. 24/7 async inference against github issues. Free. (once you buy the macs that is)
- Waterluvian 11mo agoI wonder what the actual lifetime amortized cost will be.
- oidar 11mo agoEvery time I'm tempted to get one of these beefy mac studios, I just calculate how much inference I can buy for that amount and it's never a good deal.
- bee_rider 11mo agoAre the inference providers profitable yet? Might be nice to be ready for the day when we see the real price of their services.
- Nextgrid 11mo agoIsn't it then even better to enjoy cheap inference thanks to techbro philanthropy while it lasts? You can always buy the hardware once the free money runs out.
- bee_rider 11mo agoProbably depends on what you are interested in. IMO, setting up local programs is more fun anyway. Plus, any project I’d do with LLMs would just be for fun and learning at this point, so I figure it is better to learn skills that will be useful in the long run.
- embedding-shape 11mo agoEvery time someone brings up that, it brings me back memories of trying to frantically finish stuff as quickly as possible as either my quota slowly go down with each API request, or the pay-as-you-go bill is increasing 0.1% for each request. Nowadays I fire off async jobs that involve 1000s of requests, billion of tokens, yet it costs basically the same as if I didn't. Maybe it takes a different type of person, than the one I am, but all these "pay-as-you-go"/tokens/credits platforms make me nervous to use, and I end up not using it or spending time trying to "optimize", while investing in hardware and infrastructure I can run at home and use that seems to be no problem for my head to just roll with.
- icedchai 11mo agoHeh. I'm jealous. I'm still running a first gen Mac Studio (M1 Max, 64 gigs RAM.) It seemed like a beast only 3 years ago.
- madeofpalk 11mo agoI'm not sure who 'home users' are, but i doubt they're buying two $9,499 computers.
- trvz 11mo agoPeanuts for people who make their living with computers.
- jon-wood 11mo agoSo, not a home user then. If you make your living with computers in that manner you are by definition a professional, and just happen to have your work hardware at home.
- geezthatswhack 11mo ago[dead]
- selfhoster11 11mo agoIn the US, yes.
- joshgachnang 11mo agoInteresting. Answering them? Solving them? Looking for ones to solve?
- mirekrusin 11mo agoOf course they're not. Everybody is waiting for next generation that will run LLMs faster to start buying.
- rbanffy 11mo agoEvery generation runs LLMs faster than the previous one.
- 7e 11mo agoThat product can still steal fab slots from cheaper, more prosumer products.
- kridsdale1 11mo agoI did. Admittedly it was for video processing at 8k which uses more than 128gb of ram, but I am NOT a YouTuber.