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Ollama docker not using gpu 0s Container local_multimodal_ai-app-1 Created 0. 0 KB pulling 7c23fb36d801 100% 4. ollama is installed directly on linux (not a docker container) - I am using a docker container for openweb-ui and I see the Sep 27, 2024 · What is the issue? After the model is cleared from the graphics card RAM, when it is run again, the model is not loaded to the graphics card RAM but runs on the CPU instead, which slows it down a l Feb 28, 2024 · Make sure you are using the latest image of ollama. ollama networks: - fastgpt restart: always I downloaded the cuda docker image of ollama and when I run it using docker desktop, it errors out presumably because the nvidia container toolkit isn’t configured to work inside my container. Feb 25, 2024 · $ docker exec -ti ollama-gpu ollama pull llama2 docker exec -ti ollama-gpu ollama pull llama2 pulling manifest pulling 8934d96d3f08 100% 3. 29), if you're not on the latest one, you can update your image with docker-compose pull and docker-compose up -d --force-recreate I'm seeing a lot of CPU usage when the model runs. yml file? I run ollama with docker-compose, but gpu was not been used, this is what i write: ollama: container_name: ollama image: ollama/ollama:rocm ports: - 11434:11434 volumes: - ollama:/root/. yml file. go:386 msg="no compatible GPUs were discovered Jan 9, 2025 · Config below. yml file in place, start the container using: docker-compose up -d This will spin up Ollama with GPU acceleration enabled. ollama -p 11434:11434 --name ollama ollama/ollama Run a model. If you enter the container and type ollama --version you should see the version you are on; compare it with the latest release (currently 0. level=INFO source=gpu. In the logs I found. I do see a tiny bit of GPU usage but I don't think what I'm seeing is optimal. Now you can run a model like Llama 2 inside the container. go:800 msg= Sep 25, 2024 · What is the issue? ollama is not utilizing GPU this is what i get in Ubuntu terminal [+] Running 2/0 Container local_multimodal_ai-ollama-1 Created 0. I also see log messages saying the GPU is not working. Now that we have Ollama running inside a Docker container, how do we interact with it efficiently? There are two main ways: 1. 1. 17. To create a new model image May 7, 2024 · I'm running the latest ollama build 0. 8 KB pulling 2e0493f67d0c 100% 59 B pulling fa304d675061 100% 91 B pulling 42ba7f8a01dd 100% 557 B verifying sha256 digest Mar 9, 2024 · I'm running Ollama via a docker container on Debian. 07 drivers - nvidia is set to "on-demand" - upon install of 0. I have the GPU passthrough to the VM and it is picked and working by jellyfin installed in a different docker. Using the Docker shell Apr 26, 2024 · I want run ollama with docker-compose and using nvidia-gpu. 48 machine reports nvidia GPU detected (obviously, based on 2 of 4 models using it extensively). Join Ollama’s Discord to chat with other community May 12, 2025 · But you can use it to maximize the use of your GPU. LOL - I've used 'ollama ps -a' countless times but never realized you could monitor processor usage. 3). Docker Template: SMI output from within the container: Top showing it's using CPU executed inside the container: Oct 5, 2023 · Run Ollama inside a Docker container; docker run -d --gpus=all -v ollama:/root/. Run a model. I have asked a question, and it replies to me quickly, I see the GPU usage increase around 25%, ok that's seems good. If you want to use GPU of your laptop for inferencing, you can make a small change in your docker-compose. 8 GB pulling 8c17c2ebb0ea 100% 7. . Note that usually models are configured in a conservative way. docker run -d --network=host --restart always -v ollama:/root/. 0s Attaching to app-1, ollama-1 ol New to LLMs and trying to selfhost ollama. 90. docker exec ollama ollama run llama3. I have deliberately pinned it to 4 cores to make sure it does not consumer all my CPU's whilst it's running and also limited the memory (bad experience with llama3. Jun 30, 2024 · Using GPU for Inferencing. the gpu usage (nvidia-smi) is always 0%. ollama -p 114 I have a RTX 3050 I went through the install and it works from the command-line, but using the CPU. go:221 msg="looking for compatible GPUs" level=INFO source=gpu. I’ve followed the guides backwards and forward and just can’t seem to make any headway with this. docker exec -it ollama ollama run llama2 More models can be found on the Ollama library. 622Z level=INFO source=images. While cloud-based solutions are convenient, they often come with limitations such <a title="Running Nov 11, 2023 · When I try running this last step, though (after shutting down the container): docker run -d --gpus=all -v ollama:/root/. Any help would be appreciated. For a llama2 model, my CPU utilization is at 100% while GPU remains at 0%. Read this documentation for more information Dec 9, 2024 · Start Ollama container. For example qwen2. I'm running Nov 5, 2024 · What is the issue? In the docker image, ollama ps shows 100% GPU, but in fact it use 0% GPU. Is it a bug? my NVIDIA Container Toolkit CLI version 1. Is there a significant difference between running ollama in Docker (with GPU support) and running it directly on the desktop? It always felt like there was, but perhaps I never configured GPU integration properly in Docker. PARAMETER num_thread 18 this will just tell ollama to use 18 threads so using better the CPU resources. Mar 17, 2024 · I have restart my PC and I have launched Ollama in the terminal using mistral:7b and a viewer of GPU usage (task manager). What should I write in the docker-compose. 2. Here is my output from docker logs ollama: time=2024-03-09T14:52:42. In recent years, the use of AI-driven tools like Ollama has gained significant traction among developers, researchers, and enthusiasts. I have an ubuntu server with a 3060ti that I would like to use for ollama, but I cannot get it to pick it up. 0 OS Docker GPU Mar 25, 2025 · With the docker-compose. Dec 25, 2024 · Introduction In this blog, we’ll discuss how we can run Ollama – the open-source Large Language Model environment – locally using our own NVIDIA GPU. 5 was using a maximum of 6 CPU cores (6 threads) even if my machine has 20 cores. Accessing Ollama in Docker. 48 with nvidia 550. the inference is really slow. ollama -p 11434:11434 --name ollama ollama/ollama. snzm wpszgw swgnij oxxybok kutalq oong kndlx luqa rppfe esfp |
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