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$ sudowheel

Linux articles, guides, and deep dives

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AI / ML Ops

Running AI Workloads on Linux: A Beginner's Setup Guide

From GPU drivers to containerized inference -- a practical walkthrough for getting your first machine learning environment running on Linux, whether you're fine-tuning a language model or deploying an image classifier.

14 min read Feb 26, 2026
sudowheel ~ ai-ml-ops
$ nvidia-smi --query-gpu=name,memory.total --format=csv,noheader
NVIDIA GeForce RTX 4090, 24564 MiB
$ python -c "import torch; print(torch.cuda.is_available())"
True
$ ls ./ai-ml-ops/
ai-workloads-linux.md gpu-monitoring.md cuda-containers.md model-serving.md
Latest Articles
AI / ML Ops

Running AI Workloads on Linux: A Beginner's Setup Guide

From GPU drivers to containerized inference -- a practical walkthrough for getting your first machine learning environment running on Linux, whether you're fine-tuning a language model or deploying an image classifier.

14 min Feb 26, 2026