u/Opposite_Buffalo_649

Very strange, I've plugged a 60cm riser cable (linkup gen 5) to the bottom most slot (4rth slot) on my Mobo. From reading the manual this should be a gen 4 pcie x16 slot, but for whatever reason, GPUz, Hwinfo, and pcie bandwidth benchmark in 3dmark are all reading the GPU as gen 5 with close to gen 5 speeds. (57gb/s in 3dmark pcie bandwidth test).

Anybody know what's up? I originally was testing hoping that the riser cable didn't cost me too much bandwidth from gen 4, but was extremely shocked to see gen5 speeds instead.

Did Asus conservatively rated the bottomost slot as gen 4 due to distance, but it is actually traced for gen5?

Looks like fetch_url just hangs indefinitely when pulling some websites, most notably amazon.com

Im experimenting with open terminal in openwebui an wondering if its a good idea to limit/cut off internet access to the ai agent inside open terminal, and just prebake all necessary programs/skills into the docker container instead.

My concern is that with internet access the ai agent could theoretically leak out any personal files or data i drop into the open terminal container. While this cuts the agent's ability to download whatever skills or programs it might need, we can pre-bake all the general ones when we fire up the container, and manually add more over time. This also limits the agents chances of bricking the container by downloading something bad or getting prompt injected. Thoughts?

Feasable with 2 bit quant and llama CCP and Moe flag? Or not worth the trouble?

I've got a pretty good machine but it is my personal PC as well. If I want to dive into Hermes, what's the recommended best way to run it safely? Virtual machine or a separate computer that talks to my main rig?

For those with a single rtx 6000 pro, im wondering what tokens per second you are getting running qwen 3.6 27b on BF16 on llama.cpp with mtp? I'm seeing 30ish tokens per second which seems kind of slow. MTP didnt really help either

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I wasnt aware of this but apparently no matter what you set your ram speed to , whether 4kmhz all the way to 6k+mhz, your memory clock ratio is always locked at 2:1?

Was wondering what the consensus safe vsoc for long term use is? im seeing this all over the place ranging from 1.1v to 1.25v

Wondering if there's official support yet from vllm or llama for running ds4 flash?

I noticed lian li only sells a kit for the evo rgb and 4000 series gpus. i was wondering if this works with a 5090 Founders edition, and which pcie gen 5 cable i need to buy?

here's the kit for the upright mount
https://www.amazon.com/Lian-Li-O11DE-9X-Upright-Compatilble-Included/dp/B0C1Z2WVYM/ref=sr_1_1?sr=8-1

Anybody know if the structure is sturdy enough to install fans and a 360 rad?

Was wondering what orientations does this case support dual GPU?

Xe350 is legendary and proven. Hailstone is newer, half the price, and made for multiple CPU sockets, but claims to have full coverage for threadripper. It also has optional fan addon for ram and vram.

What are the community's thoughts?

Just picked one up from central computers, oem brown box nvidia oem. I have the physical receipt and photos. Does anybody know what process i need to take in order to register for the 3 year warranty from nvidia? I'm not a business, just an individual.

Anybody have a guide that shows exactly step by step with photos on how to disassemble the rtx 6000 pro workstation? I'm about to throw on the Optimus block, but really want to take my time to make sure I don't f up and brick the card. So far I've only found a few videos on YouTube, mostly from Nexus gamers. Was hoping for a more detailed guide somewhere.

For reference I have experience disassembling a 2080ti, so I'm not a total noob. But as this is a $10k card the stakes are quite a bit higher.

Anybody found a way to get decent airflow onto the ram sticks? I'm running full water-cooled loop, and need a way to keep the ram cool

Everybody keeps saying 5090 is enough now since you can run qwen 3.6 27b and a 6000 pro isn't really worth the price premium. I'm wondering if you guys think this will continue to stay true? I feel like the 6000 pro at least gives me flexibility to run qwen at full context and no quant, and down the line gives me the ability to run future larger models that may surpass qwen?

The reason I ask is because I'm now debating on my GPU for my AI build. 9970x threadripper, 128gb ddr5 ram. May eventually dual 5090, 5090 + 6000, or dual 6000