[susupro1]

You are not crazy, you are just waking up from the SaaS delusion. We somehow allowed the industry to convince us that paying $20/month to rent volatile compute, have our proprietary workflows surveilled, and get throttled mid-thought is an 'upgrade'. The pendulum is swinging violently back to local-native tools. Deterministic, privately owned, unmetered—buying your execution layer instead of renting it is the only way to build actual leverage.

[muskstinks]

I'm quite aware of my dependency and i'm balancing this in and out regularly over the last 10 years.

Owning is expensive. Not owning is also expensive.

Energy in germany is at 35 cent/kwh and skyrocketed to 60 when we had the russian problem.

I'm planning to buy a farm and add cheap energy but this investment will still take a little bit of time. Until then, space is sparse.

[NoMoreNicksLeft]

If I could buy this to run it locally, what's that hardware even look like? What model would I even run on the hardware? What framework would I need to have it do the things Claude Code can do?

[lukewarm707]

i don't use local llms. it's mostly the closed source subscriptions that are not private, it really is a choice.

there are many cloud providers of zero data retention llm APIs, and even cryptographic attestation.

they are not throttled, you can get an agreed rate limit.

[l72]

Would you mind naming some of your favorite providers?

[lukewarm707]

API: fireworks

Fast: inception labs or cerebras

Confidential: tinfoil.sh, phala

TTS/STT: groq

Routers: vercel (or openrouter if they don't have the model).

Search: unsolved, just can't get zdr, local hosted.

[staticassertion]

No one was convinced to spend money to do the things you're saying. That's just disingenuous. People rent models because (a) it moves compute elsewhere (b) they provide higher quality models.

[nprateem]

c) It's turnkey instead of requiring months/years of custom dev and on-going maintenance.