docker

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.

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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

vLLM Docker container keeps crashing with “CUDA out of memory” on Ubuntu 22.04 (RTX 4090) – step‑by‑step fix for the GPU memory leak and version mismatch issue.

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You’ve been running vLLM in Docker for LLM inference, everything seemed fine in development, and then BAM—your container crashes with “CUDA out of memory” after a few minutes. Your RTX 4090 has 24GB of VRAM, but it’s behaving like you’re running on a laptop with 2GB. This is one of the most frustrating debugging sessions … Read more

Fix “CUDA out of memory” error when launching Ollama Llama 2 via vLLM in a Docker container on Ubuntu 22.04 VPS with 8 GB GPU – step‑by‑step debugging guide

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You’ve got Ollama and vLLM set up on your Ubuntu VPS. You spin up the Docker container, everything looks ready, and then it hits you: CUDA out of memory. Your 8 GB GPU isn’t even close to being maxed out, but the error won’t budge. If this sounds familiar, you’re not alone—and the solution is … Read more

Fixing LangChain FastAPI Docker on Ubuntu 22.04 – why it kept crashing with “module not found” error and how I finally got it working.

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Why a simple “module not found” turned my VPS deployment into a debugging nightmare If you’ve ever spent an afternoon staring at a Docker container that dies the moment FastAPI starts, you know the feeling of frustration that comes with vague ModuleNotFoundError messages. I was trying to spin up a LangChain‑based AI tool on an … Read more