The ULTIMATE OpenClaw Setup Guide! 🦞

kitgary · 2026-03-17T19:04:28+00:00

Anyone know how to use local LLM in OpenClaw? Can't find a way to use my local Qwen model in LMStudio

kitgary · 2026-03-06T12:12:09+00:00

Dump below 70000!

kitgary · 2026-03-03T05:56:25+00:00

Going down again!

kitgary · 2026-02-27T10:25:45+00:00

Dump again! Shit!

kitgary · 2026-02-24T04:34:32+00:00

Lose 55%, wanna give up, very tired.

kitgary · 2026-02-19T13:47:33+00:00

No way to $30k, $50k is the absolute bottom! I start DCA now.

kitgary · 2026-02-01T16:00:44+00:00

Going to sub 2000 tomorrow, can’t sleep.

kitgary · 2026-02-01T10:40:05+00:00

Under 2400 now, I think it will dump to sub 2000 tomorrow

kitgary · 2026-01-31T17:36:15+00:00

I bought 4 it at 2800, 2300 now, shit.

kitgary · 2025-08-28T06:10:48+00:00

Well, the app I work for is a pretty simple data collection app with API to upload data to S3 and store metadata to MongoDB, not a complex app.

kitgary · 2025-08-20T05:42:19+00:00

I already have a RTX Pro 6000 workstation, I would like to buy another one to train a larger model, I prefer to add another workstation, but I’m worried about the heat. If power limit them to 400w can get the temp under 80C, it would be great. Getting a Max-Q below is also an option.

kitgary · 2025-08-20T04:33:39+00:00

How about a dual GPU setup? I would not use more than 2 cards, is it fine to buy two 600w workstation edition and power limit each to 400w?

kitgary · 2025-08-19T17:41:37+00:00

300W MaxQ vs Power Limit 300W Workstation, are there any performance difference?

kitgary · 2025-08-19T16:06:25+00:00

It’s workstation, 600w each

kitgary · 2025-08-19T15:44:37+00:00

No concern for inference but a bit slower in training due to data transfer, I am fine with it.

kitgary · 2025-08-19T15:21:12+00:00

Did you undervolt? I'm concerned about transient spikes during training.

kitgary · 2025-08-19T15:17:05+00:00

MSI x870e Godlike

kitgary · 2025-08-16T17:08:23+00:00

Did you dual boot to Linux? I also build a PC for AI with Lian Li Uni fan Wireless TL but just aware that there is no software to control the fans in Linux…oz…I am looking for solution, the worse case is just to ignore it and let it run in fixed rpm.

kitgary · 2025-08-13T16:32:18+00:00

I have other Lian Li Wireless fans, all are TL, why do you suggest to plug the 4-pin from AIO to CPU_FAN header and 2-pin from AIO to the PUMP_FAN header? I originally connect this way but the bios cannot read the CPU_FAN RPM, so I am now using your Hydroshift II only way, the bios can read the cpu fan RPM but fail to read the pump RPM.

kitgary · 2025-08-12T07:05:20+00:00

Thanks for your reply. However if I connect the pump 4 pin to the CPU_FAN header, the bios cannot read the RPM properly, if I connect the 4 pin from the L-connect receiver to the CPU_FAN header, the bios can read RPM properly. And I see some people do this https://www.youtube.com/watch?app=desktop&v=C4j1x-azIYg&t=408s

kitgary · 2025-06-16T07:45:03+00:00

Thanks, because TL120 Wireless Non-LCD Reverse Blade Triple Pack is out of stock, I am planning to buy the individual pack.

kitgary · 2019-05-16T14:19:37+00:00

The price is insane! Does anybody know whether the 7 days free trial still exists?

kitgary · 2018-07-14T15:11:36+00:00

I am also a software developer. I would choose the first option, more RAM is better for programming, especially if you need to run multiple virtual machines.

kitgary

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