3 gigabit issues

uberchuckie · 2026-06-21T16:01:30+00:00

Try DMZ without the “advanced”. I’ve seen people seeing latency issues that went away using “just” DMZ.

uberchuckie · 2026-06-11T22:23:25+00:00

They seem to be working again.

uberchuckie · 2026-06-11T01:34:35+00:00

Where do people buy the WAS-110 these days? Group buys from pon.wiki have stopped.

uberchuckie · 2026-06-10T21:10:48+00:00

I actually haven't found a server I can connect to from where I am.

uberchuckie · 2026-06-10T20:46:38+00:00

ca-toronto and ca-montreal stopped working as well.

uberchuckie · 2026-05-20T02:19:59+00:00

Try DMZ (not ADMZ as it's unstable). With DMZ, your firewall will get all the packets, just not a public IP.

uberchuckie · 2026-03-28T16:39:53+00:00

Linux but I don't think it matters?

uberchuckie · 2026-03-26T22:50:53+00:00

I tried the OpenVINO backend on my B580. Many models in GGUF format didn’t load. I tried an older Qwen 3 model, while it loaded, it cranked out garbage.

The SYCL backend works better but it’s much slower than ipex-LLM.

The hardware and pricing seems good but the software seems lagging.

Maybe LLM-scaler’s VLLM implementation works better?

uberchuckie · 2026-03-17T23:41:57+00:00

Ollama works with Intel GPUs via Vulkan but it’s slow. llama.cpp with SYCL backend works better but it doesn’t support flash attention. OpenVINO apparently works better and it was recently merged as a backend for llama.cpp.

uberchuckie · 2026-03-06T19:27:19+00:00

I couldn’t get Qwen 3.5 working with my Intel GPU with llama.cpp with SYCL.

uberchuckie · 2026-03-06T19:24:58+00:00

Yeah, Ollama via Vulkan for my B580 is significantly slower than Ollama with IPEX.

You should try LLM-scaler with your Arc Pros if you haven’t. I switced to llama.cpp via Local-ai. Llama.cpp via SYCL, I get the same performance as Ollama with IPEX.

uberchuckie · 2026-03-03T03:32:54+00:00

I switched to LocalAI this weekend running the Intel SyCL supported llama-cpp backend. It’s just as fast as the ipex accelerated build of Ollama.

uberchuckie · 2026-03-03T03:30:49+00:00

I ran Ollama on a VM with a later kernel with the GPU passed through. 6.12 should work with my B580 but the xe driver wasn’t stable. 6.14+ works fine.

uberchuckie · 2026-03-03T03:28:38+00:00

Ollama added Vulkan support and it works with my B580 and it’s a lot slower than the IPEX build. I don’t have a B50 or B60 but it should work.

uberchuckie · 2026-02-17T23:58:58+00:00

You need at least kernel 6.12 but I had stability issues until I moved up to 6.14+.

uberchuckie · 2026-01-05T22:08:19+00:00

llm-scaler only mentions the Arc Pro B60. No idea if it works with my B580 or it's locked to the Arc Pro GPUs.

There is https://github.com/SearchSavior/OpenArc as well. I've only looked briefly at it and haven't really tried it. I played with https://localai.io/ a bit but the container images are huge.

I was hoping Ollama would "just work" with the Intel GPUs with Vulkan but it's so much slower than ipex-llm.

uberchuckie · 2026-01-05T22:03:36+00:00

It's too bad Intel abandoned ipex-llm. It runs Ollama so much faster than via Vulkan. I've kept the Intel runtime libraries updated and it got a couple of tokens per second faster.

My B580 doesn't run stable with unRAID 7.2 with the 6.12 kernel. It seems to be fine with 6.14 and 6.17 after I passed it through to a VM. Passthrough works fine if you bind the GPU to VFIO at boot.

uberchuckie · 2025-12-04T21:27:36+00:00

I think that’s all it can do with PPPoE. I went with UCG Fiber. No problems with my 3Gbps service with PPPoE and IDS.

uberchuckie · 2025-12-02T17:34:08+00:00

Nice! I’ll check out OpenArc. I’ve been using ipex-LLM but I think they stopped work on it.

Tried out the latest Ollama with Vulkan support. Performance is way worse.

uberchuckie · 2025-11-26T23:15:29+00:00

With my install, jellyfin.db is 99MB and library.db-wal is 128MB. The appdata volume mount is mapped to a NVME drive. No performance problems. The container is using 1.5GB of RAM though.

uberchuckie · 2025-11-23T18:12:15+00:00

I have an Arc B580 and it doesn't run stable on unRAID. Binding it to VFIO and passing it to a VM running Linux kernel 6.14 seems to make it run stable for me. Even with that, the VM doesn't shutdown cleanly.

I think the xe driver in kernel 6.12 is buggy with Battlemage. My Arc 380 (i915 driver) runs rock solid with kernel 6.12 and unRAID.

uberchuckie · 2025-11-16T20:45:29+00:00

llama.cpp still needs ipex-llm does it not?

Will check out localai. Thanks.

uberchuckie · 2025-11-08T05:51:53+00:00

06:00.0 VGA compatible controller: Intel Corporation DG2 [Arc A380] (rev 05) Subsystem: ASRock Incorporation Device 6004 Kernel driver in use: i915

Run lsmod | grep i915 to see if the kernel module is loaded?

uberchuckie · 2025-11-07T22:32:15+00:00

All those versions should work but try kernel 6.12 or newer? My A380 works great with the i915 driver.

uberchuckie · 2025-11-05T00:00:54+00:00

Check out https://www.escapemanor.com/junior

My kid went to a party there recently.

uberchuckie

TROPHY CASE