4 ms·
Well if you're spending thousands on API tokens already, you could just drop the same amount on a 128GB MacBook Pro and that's a one time cost.
by dbbk 2mo ago
Well if you're spending thousands on API tokens already, you could just drop the same amount on a 128GB MacBook Pro and that's a one time cost.
- smallerize 2mo agoIf you're dropping thousands on API tokens, you're going to be slowed down at least 10x trying to do everything on a single MBP.
- dannyw 2mo agoBut you could grab a 5090, and paired with some DRAM for MoE offloading of bigger models, and be a happy camper with 1.8TB/s of memory bandwidth. Or just use Luna honestly. Worth considering if you’re ok with hosted APIs.
- neuroticnews25 2mo agoDon't forget about energy usage, you'll probably never break even vs same model on openrouter.
- jurgenburgen 2mo agoIf you can’t do it cheaper on your own hardware it does make you wonder how much of the cost of inference those large LLM providers are eating? Datacenter hardware isn’t magic.
- petu 2mo agoDatacenter hardware can batch at large scale, probably over 90% more energy efficient per token than a MacBook.
- flaunf221 2mo agoYour personal hardware probably isn't running useful tasks 24/7. If you spend 60% of your 8h work day on full on agentic work, then your hardware is paying off for itself only 20% of available time.
- Der_Einzige 2mo agoDatacenter hardware might as well be magic compared to consumer. "Oh the F35 isn't magic compared to my M16 bro!"
- Gigachad 2mo agoThe models people are spending thousands on require more on the range of 600-800gb memory. 128gb hardly runs deepseek v4 flash which is almost free via api pricing.