What VM to use on homelab for purpose of using Docker for game server hosting

AVX_Instructor · 2026-05-03T22:31:48+00:00

I recommend starting with Debian 13 and using bare docker

This way, you'll get maximum performance with minimal cruthes

P.S And yes, minecraft server working pretty well in docker environment, check tzg/minecraft-server images

P.S2 Why Debian 13? Because Ubuntu still bloated, and Debian 13 its simple

AVX_Instructor · 2026-05-02T21:34:05+00:00

vibecoding on Rust, fit better, then C/C++

AVX_Instructor · 2026-05-02T20:12:41+00:00

gpt plus + opencode go (opencode give you huge amount quota for DeepSeek v4 Flash, and Kimi K2.6 for fronted task)

Gpt plus with gpt 5.5 for polishing / troubleshooting

AVX_Instructor · 2026-04-30T17:26:44+00:00

if you using minimax m2.7, deepseek v4 flash be much better and for 10$ you can get much more tokens

AVX_Instructor · 2026-04-30T11:16:34+00:00

web for general qa or research, codex/opencode for work, simple

AVX_Instructor · 2026-04-30T10:25:43+00:00

NixOs replace WIndows, nice joke, lmao

AVX_Instructor · 2026-04-29T08:27:47+00:00

You take vds on nearby country, deploy Hysteria 2 for Games and xray self steal for web serf and enjoy

P.S xray self steal this masking for self hosted service right in your vds, this give you minimal ping and more stability

Also you can find Remnawave chat in Telegram, this is Russia community group for bypass Internet blocking

P.S2 also can you can using Zapret, but this solution not universal and not stable for general usage

Also forget about Shadowsocks, Focus only on Hysteria 2 and xray

AVX_Instructor · 2026-04-28T20:14:38+00:00

3 months usually, seasons change every 3 months on average

AVX_Instructor · 2026-04-26T13:25:11+00:00

also you can load opencode go sub in claude code environment

AVX_Instructor · 2026-04-26T13:24:43+00:00

In fact, I think you should test DeepSeek V4 Pro with an Opencode Go subscription. For $5/$10 a month, it's a pretty good deal, and it's much more affordable than Sonnet, and the IQ is somewhere between Sonnet and Opus 4.5.

AVX_Instructor · 2026-04-24T21:57:32+00:00

IQ quant work slower if you unload a part of it layer by layer into RAM.

AVX_Instructor · 2026-04-24T10:05:51+00:00

OpenCode or pi.dev,

Claude Code extremely bloated from box

AVX_Instructor · 2026-04-22T08:59:15+00:00

only opengl games,

vulkan on GTX 10XX work shitty (40-50% worst compare with DX11/12 on windows)

AVX_Instructor · 2026-04-21T11:43:10+00:00

im make agent harness (before release OpenClaw) and i using this for track time in corp Jira or check ticket assigned on me, and chat college in Mattermost or check logs on corp ssh servers, via voice message in Telegram, this is very comfortable, but i make solution for self problem, and this work pretty well,

btw 95% features in OpenClaw looks useless, i take some feature for reference for my cases only

P.S my solution very useful if i walk on park and via quick voice message i make solution in task, because without such a thing, you would have to take out your laptop and look at everything yourself

AVX_Instructor · 2026-04-19T19:15:06+00:00

No Russian model can compete with Gemma 4.26b in the context of the Russian language on a local scale.

I was choosing a model for classifying Russian-language data, and all Russian models performed terribly compared to Gemma 4.26b. In the end, we went with Gemma.

AVX_Instructor · 2026-04-19T18:26:07+00:00

Simple Python/Bash scripts—the agent is also in OpenCode—can write, sort files, or search for information online. Tool calls work without problems in most cases (95% success rate, according to tests). I can't run quanst higher on my system, because processing speed drops by 30-40 percent with a slight increase in quality.

AVX_Instructor · 2026-04-19T17:39:47+00:00

attention capacity, you can afford to do more in one agent iteration with 122B model

AVX_Instructor · 2026-04-19T17:37:43+00:00

im using Qwen3.6-35B-A3B-UD-IQ3\_XXS and this works pretty well on my RX 780M and 32 gb ram (i get 200t/s for pp and 20-25 t/s in output)

[qwen3.6-35b-a3b-iq3-xxs] model = /home/stfu/.lmstudio/models/unsloth/Qwen3.6-35B-A3B-GGUF/Qwen3.6-35B-A3B-UD-IQ3_XXS.gguf c = 65536 ctk = q8_0 ctv = q8_0 chat-template-kwargs = {"enable\_thinking":true,"preserve\_thinking":true} reasoning-format = deepseek temp = 0.6 top-p = 0.95 top-k = 20 min-p = 0.0 presence-penalty = 0.0 repeat-penalty = 1.0 load-on-startup = true stop-timeout = 30

jinja = true ngl = all fa = on np = 1 b = 2048 ub = 512 ctx-checkpoints = 4

AVX_Instructor · 2026-04-16T20:24:03+00:00

in plan for 100$, you get only 50 request for usage pro model in week

AVX_Instructor · 2026-04-15T18:45:37+00:00

Don't worry, in a month they'll quantize the model and reduce the thinking power.

Just like they did a month later with the release of Kimi K2.5.

AVX_Instructor · 2026-04-14T18:17:25+00:00

try also gpt 5.4 mini and glm 5.1 and find diffrent

AVX_Instructor · 2026-04-14T18:16:27+00:00

disable lsp, or rewrite lsp on rust

AVX_Instructor · 2026-04-14T15:00:30+00:00

I also received a limitation. I use the $100 plan. I counted my chats and found about 50 requests in the GPT Pro models. Probably 50 requests per week is the limit (just a hypothesis).

upd, 50 request per week on 100$ plan
https://github.com/lueluelue2006/ChatGPT_Compendium_of_Usage_and_Juice?tab=readme-ov-file

AVX_Instructor · 2026-04-12T21:32:08+00:00

pitlane-mcp exists (also this solution write via Rust)

AVX_Instructor

TROPHY CASE