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A screenshot of a terminal showing successful Docker GPU passthrough verification with nvidia-smi output.

[8GB VRAM] Qwen3-Coder 30B Local: 262K Context on 8GB VRAM

Who says you need a supercomputer to run serious AI models? Turns out, a decent consumer rig and a bit of clever tweaking can get you running Qwen3-Coder 30B locally with an insane context window. This is a game-changer for developers tired of cloud dependency.

10 min read 1 week, 5 days ago

Gemma 4 model running locally on RTX GPU with VRAM graphs and TRL code snippets

AI Dev Tools

Gemma 4's VRAM Beast Mode: Taming Fine-Tuning and Local Inference on RTX Rigs

Ever wondered why your beefy RTX can't handle Gemma 4's context without OOM errors? TRL's stable release and llama.cpp tweaks are here to flip that script, turning local inference into a superpower.

5 min read 1 month, 2 weeks ago

Gemma 4 inference metrics dashboard showing 96 tok/s on dual RTX GPUs

AI Dev Tools

Gemma 4: 96 Tokens/Second on Dual RTX Cards, Fixing My Kubernetes Bugs by Lunch

96 tokens per second. That's Gemma 4 chewing through Kubernetes bug reports on my dual RTX setup. Google's open model just turned 'wait and hope' into 'deploy and debug now.'

5 min read 1 month, 2 weeks ago

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[8GB VRAM] Qwen3-Coder 30B Local: 262K Context on 8GB VRAM

Gemma 4's VRAM Beast Mode: Taming Fine-Tuning and Local Inference on RTX Rigs

Gemma 4: 96 Tokens/Second on Dual RTX Cards, Fixing My Kubernetes Bugs by Lunch