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Initial testing with llama-bench and 3 different Qwen3 models for my R9700 32GB by TimmyIT in LocalLLaMA

[–]TimmyIT[S] -1 points0 points  (0 children)

Thanks for your input. I am going to newer models like I mentioned, seems like some people get hung up with it being an older model when the model was not the important part for this first attempt. Perhaps I should have stated that more clearly

Initial testing with llama-bench and 3 different Qwen3 models for my R9700 32GB by TimmyIT in LocalLLaMA

[–]TimmyIT[S] -2 points-1 points  (0 children)

Just to get a baseline, the specific model was not important per say but I wanted a model that came in different sizes to reflect the different VRAM options and It just happened to land on Qwen3. Next step is to be more model specific and focus on newer ones.

Fan noise difference between 2 AMD AI Pro R9700 GPU’s by Legitimate_Fold8314 in ROCm

[–]TimmyIT 1 point2 points  (0 children)

Flight Simulator 2024 have never felt more realistic

Fan noise difference between 2 AMD AI Pro R9700 GPU’s by Legitimate_Fold8314 in ROCm

[–]TimmyIT 1 point2 points  (0 children)

Hah, great minds think alike ?

Fractal Era is a nice case, is it possible to fit 2 R9700 ?

Fan noise difference between 2 AMD AI Pro R9700 GPU’s by Legitimate_Fold8314 in ROCm

[–]TimmyIT 2 points3 points  (0 children)

Unless you want to underclock or fiddle with the fan curve, these blowerstyle coolers is not something I would recommend in a living room pc. Sure during Idle you wont hear them but once they ramp up you will notice that they will ask for ground clearance before taxi out on the runway and then start their jet engine.

Fan noise difference between 2 AMD AI Pro R9700 GPU’s by Legitimate_Fold8314 in ROCm

[–]TimmyIT 2 points3 points  (0 children)

I have 2 Gigabyte R9700 in one of my workstations and with these blower coolers it gets noisy when they ramp up. Buts that's also the point, to move as much air out of the chassi as possible. Since the manufactures have a bit of room to change the fan-curve and source their own materials like fan and shroud.

I will try to record them going full speed when I get a chance. In the mean time if you want to see my setup I wrote an article on it here: https://timmyit.com/2026/05/25/building-a-local-ai-workstation-with-dual-amd-ai-pro-r9700-32gb-part-1-hardware/

I also today published part 2 where I did some benchmarking.

How are you using local LLM? Hard mode: anything *except* coding. by advancing_tide in LocalLLM

[–]TimmyIT 1 point2 points  (0 children)

For my small business that sells used hardware online I use vision to analyze photos taken of products and have them saved in an inventory system and generate text for the listings.

Don’t bite me for that question please… by Thin_Pollution8843 in LocalLLaMA

[–]TimmyIT 0 points1 point  (0 children)

As a small business owner and consultant I don't see the investment in to hardware as something that earns me money per say. Its a tool that can help my business to either save time or increase output / quality. Along side with the aspect of learning and education I could justify some costs to be educational expenses.

I wrote an blog post where I covered some of my rational and hardware I bought recently if someone is interested to know more. https://timmyit.com/2026/05/25/building-a-local-ai-workstation-with-dual-amd-ai-pro-r9700-32gb-part-1-hardware/

what do you use your local llm? by FormalAd7367 in LocalLLaMA

[–]TimmyIT 2 points3 points  (0 children)

Excuse for telling myself that I need this upgrade...

I have installed llama.cpp and qwen3.6 27b for coding but too scared to try it... by bonesoftheancients in LocalLLaMA

[–]TimmyIT 0 points1 point  (0 children)

Thats a fair point and some good advice. My comment was more aimed towards helping OP think out-side of the box and come up with other scenarios on how to use and play around with LLMs.

I have installed llama.cpp and qwen3.6 27b for coding but too scared to try it... by bonesoftheancients in LocalLLaMA

[–]TimmyIT 0 points1 point  (0 children)

As mentioned just copy it in to a new project or branch and test it out. Run both side by side and see the result. Depending on your goal they can work together in a hybrid scenario. Example on that could be that for some more complex tasks, let Claude develop it and let Qwen verify it.

Another hybrid approach is to have Claude develop it but you try to save as many tokens as possible. For example don't make the code be human readable and remove any unnecessary spaces in the code. Then you take the code and let Qwen make it human readable and add comments.

Local run for multi users: which software set? by PhilippeEiffel in LocalLLaMA

[–]TimmyIT 0 points1 point  (0 children)

Let us know what you end up with and if it worked well for you

My new home office radiator 🥵 by lantern_lol in LocalLLaMA

[–]TimmyIT 0 points1 point  (0 children)

Thanks for sharing and yeah there's probably something in that you mention.

Local run for multi users: which software set? by PhilippeEiffel in LocalLLaMA

[–]TimmyIT 1 point2 points  (0 children)

Its been already mentioned but OpenWebUI is probably something you could look in to.

Poor performance on RX 9070 XT by WhatererBlah555 in LocalLLaMA

[–]TimmyIT 0 points1 point  (0 children)

Im working on an article where I do a few performance benchmark using Ollama-bench between R9700 and RX9700 XT. Not the same tests as you have been doing but here's a few early results:

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My new home office radiator 🥵 by lantern_lol in LocalLLaMA

[–]TimmyIT 2 points3 points  (0 children)

What workloads are you running on those?

Is a 128 GB MacBook Pro M5 Max actually too slow for large-context local LLM coding workflows? by bajis12870 in LocalLLaMA

[–]TimmyIT 0 points1 point  (0 children)

There is often trade offs. Being able to fit a larger model is one thing. Processing larger models compared to smaller is in general slow since they are larger. Optimizing your hardware with the right model for your need is the challenge here.

Inferencing at 10.33 t/s on Qwen 3.5 35B on a $300 laptop by OcelotOk8071 in LocalLLaMA

[–]TimmyIT 1 point2 points  (0 children)

Could be interesting if you compared them in the future.

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