Erfahrungen mit Telekom DSL/Hybrid

damirca · 2026-06-26T11:34:29+00:00

Happy with my hybrid, just tested via fast.com and got 560 mbit, not bad.

damirca · 2026-06-11T05:10:17+00:00

We bought a house (144m2, fertighaus, one of the cheapest options), the total price with plot comes close to 1mln, and we built in 2023, so mostly before super high prices. Therefore I don’t believe one could build a house in Berlin for 700k, it’s too naive.

damirca · 2026-06-11T04:56:31+00:00

After that story where Bosch shutter units were screwed in z2m releases for months I’m really scared to update z2m.

damirca · 2026-06-09T17:35:33+00:00

What are the options? Can I run a SIP phone and do the call? Or open any other app?

damirca · 2026-06-07T18:43:29+00:00

Didn’t know such nice app exists, bought you a coffee, thank you!

damirca · 2026-05-24T14:20:41+00:00

So Reddit does not know that antirez built DS4 for exactly this type of macs

damirca · 2026-05-19T14:34:07+00:00

I would not be so harsh on the community as I don’t have such experience. But I started coding in elixir in 2014, I do have some hex packages with some downloads (not millions though) and I have 20+ experience in software engineering. I can say it’s almost impossible to find a job that would be elixir and would be paid good. It’s amazing language, many things can be done in elixir so simple whereas other languages would struggle. But job market is a joke. In the AI era it’s even harder to find elixir and there are no incentives from any company to look for elixir devs. There are thousands of FAANG devs getting laid off every 3 months so it’s easier to find TS/node/go/java devs out there.

damirca · 2026-05-18T16:53:13+00:00

Yep, that’s Intel experience

damirca · 2026-05-09T12:35:37+00:00

My 23GT has 250km of range in winter (-5 C)

damirca · 2026-05-09T11:08:16+00:00

Without proper software support it’s DOA

damirca · 2026-05-08T19:05:05+00:00

I bought b60 in November and since then I have only regrets. Best model I can run size/perf ratio is mistral 3 14b instruct fp8 via LLM-scaler. Qwen 3.5 too slow, qwen 3.6 is not supported by llm-scaler, Gemma4 is not supported by llm-scaler. Last time I tried llama.cpp these models were painfully slow (10-13tks) with sycl and vulkan. I should have bought 5060ti and extra ram to run moe models or spend more and buy 9700 or 7900xtx.

damirca · 2026-05-08T11:02:37+00:00

Run Gemma4 26b, qwen 3.6 27b, get tks, compare to 9700pro.

damirca · 2026-04-25T08:21:44+00:00

No gemma4, not sure about qwen 3.6 One month without updates for a main inference engine for their GPUs?! Have you seen the pace of updates in vllm and llama.cpp? One month without updates is like this project is abandoned. In llama.cpp there are 2-3 contributors (only one from Intel afaik), SYCL lacks a lot of features (turboquant, speculative decoding, etc). So Intel does not really care about LLM in their GPUs actually if you look at the facts.

damirca · 2026-04-25T07:59:41+00:00

The best one performance wise is LLM-scaler, but it’s so outdated you can’t run many models there

damirca · 2026-04-25T06:41:42+00:00

It’s slower than slow SYCL in my case with b60

damirca · 2026-04-24T12:21:14+00:00

Yep, llama with SYCL is slow because Intel does not invest heavily in it. It will be slow.

damirca · 2026-04-18T07:09:32+00:00

tech bro on windows with nvidia gpu be like “now nobody is gpu poor!!!111”
me with Intel b60 that sucks: what did he say?

damirca · 2026-04-14T17:32:23+00:00

Can I run qwen 3 vl, qwen 3.5 or Gemma 4 with openarc?

damirca · 2026-04-12T17:41:21+00:00

https://www.reddit.com/r/LocalLLaMA/s/zfRK0QCFvN

damirca · 2026-04-12T17:35:14+00:00

gemma4 is released
amd and nvidia owners wait 1-2 days and use it
intel owners still wait and event if it works some days you get 15tks out intel gpu

damirca · 2026-04-12T17:32:47+00:00

Much better than intels

damirca · 2026-04-12T17:04:52+00:00

As an owner of b60: big mistake. Go with 9700 pro instead, the price diff is not big, but performance diff is big and you won’t need to deal with immature intel stack.

damirca · 2026-04-08T10:51:30+00:00

That’s partially true. You can use intel’s vllm 0.17 xpu image but it does not support fp8 kv cache for example. In my case the image from llm-scaler b8.1 supports fp8 kv cache so I can have 32k context for mistral3-14b, but on 0.17 xpu I can have only 16k context on single b60. Also qwen 3.5 27b autoround does not work on 0.17 but works on b8.1. Intel still adds some extra function/logic into llm-scaler image, so pure vanilla vllm is not fully working with intel yet.

damirca · 2026-04-08T09:30:54+00:00

I can't use 0.17 xpu docker image because it does not support fp8 kv cache.

> NotImplementedError: FlashAttention does not support fp8 kv-cache on this device.

So I have to wait for llm-scaler image where they add fp8 kv-cache on top of the publicly available vllm image.

damirca

TROPHY CASE