Why Ollama “GPU driver error: CUDA out of memory” kept crashing on Ubuntu 22.04 Docker container and how I finally fixed the version mismatch with CUDA 12.2 and vLLM 0.4.0.

Quick Overview Difficulty Level: Intermediate | Estimated Fix Time: 15-30 minutes | Required Knowledge: Docker, GPU drivers, CUDA basics This guide walks you through diagnosing and fixing CUDA version conflicts that cause memory allocation failures in containerized Ollama deployments. The Problem That Ate My Friday Night You’ve deployed your VPS with GPU support, spun up … Read more

Ollama on Ubuntu 22.04 keeps crashing with “CUDA out of memory” after vLLM 0.5 upgrade – step‑by‑step fix for the GPU memory leak in Docker

You’ve upgraded vLLM to 0.5, and now your Ollama setup on Ubuntu 22.04 is crashing hard. The error message stares back at you: “CUDA out of memory.” Your Docker container was running smoothly yesterday. Today? It’s a memory leak nightmare. You’re not alone—this is a known issue affecting developers deploying large language models (LLMs) in … Read more

vLLM Docker container keeps crashing on Ubuntu 22.04 with “CUDA out of memory” – how I fixed the GPU driver/version mismatch and prevented the out‑of‑memory timeout.

You’ve deployed a vLLM container to your Ubuntu 22.04 VPS to run large language model inference, everything looks good in the Docker logs for about thirty seconds, and then—crash. “CUDA out of memory” appears, your container exits with code 139 or 137, and your inference pipeline collapses. You’ve checked your GPU memory with nvidia-smi, and … Read more

How I Fixed the “Ollama model loading failed: CUDA out of memory” Error on Ubuntu 22.04.

You’re trying to run a large language model locally using Ollama. Everything seems configured correctly. Then you hit it: “CUDA out of memory.” The model won’t load. Your VPS or workstation sits idle. Frustrating, right? I’ve been there. After spending three hours debugging this exact error in a production AI automation workflow, I discovered it’s … Read more