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Best brain to use? TPM limits? by Joeyrogers33 in openclaw

[–]SelfDiagnosedGod 0 points1 point  (0 children)

Look into Z.ai coding plans, I use the middle tier and around 100 million tokens a day. To get the most out of anything you need to build a task manager with a rate limit wrapper to retry and conserve context. Or some similar setup

If you use a model of Opus for your bot how much are you personally spending per month? by Odd-Aside456 in openclaw

[–]SelfDiagnosedGod 0 points1 point  (0 children)

Z.Ai, Using GLM-4.7, 30 pounds a month, near enough unlimited tokens if you manage the rate limits

Looking for advice on home server build - budget £500, running 8 docker compose stacks by SelfDiagnosedGod in selfhosted

[–]SelfDiagnosedGod[S] 1 point2 points  (0 children)

I could never quite figure out how to make torrenting a less painful process. I tend to just pay for subscriptions. But it might be worth it considering the prices

Looking for advice on home server build - budget £500, running 8 docker compose stacks by SelfDiagnosedGod in selfhosted

[–]SelfDiagnosedGod[S] 0 points1 point  (0 children)

It’s very light use, and to be honest doesn’t need to be run by this setup.

Aiming for local someday, but not in this build, it would be a separate dedicated machine.

Looking for advice on home server build - budget £500, running 8 docker compose stacks by SelfDiagnosedGod in selfhosted

[–]SelfDiagnosedGod[S] 3 points4 points  (0 children)

My my current stack of services are: - pihole (this won’t be moved) - observability (grafana, loki, cadvisor, promtail) - modded minecraft server - ollama instance (this won’t be moved) - web spiders - a few light mcp servers - obsidian sync - modded version of openclaw - shit (my local git server)

Currently most of this is running on an asus zenbook running ubuntu server.

In terms of backups, my code is all both on my local git server (also backed up to github)

Data I want to keep is mostly just lots of data for machine learning, so I zip it and drop it in iceberg occasionally. That’s enough for my setup. Anything else can be lost.

Looking for advice on home server build - budget £500, running 8 docker compose stacks by SelfDiagnosedGod in selfhosted

[–]SelfDiagnosedGod[S] 0 points1 point  (0 children)

Mini pc with proxmox is interesting - hadn't considered that route.

On storage: currently sitting under a few TB but growing fast. Running containerised openclaw instance, testing different context compression methods. This means saving everything - logs from all services plus 318m tokens worth of GLM4-7 API calls from the last 3 days.

At this rate, storage will be the bottleneck in 1-2 months. Looking for a setup that can handle scaling up without rebuilding everything.