How to run ollama with gpu. Feb 22, 2024 · ollama's backend llama.

How to run ollama with gpu The process will bound to the tcp port: 11434. From consumer-grade AMD Radeon™ RX graphics cards to high-end AMD Instinct™ accelerators, users have a wide range of options to run models like Llama 3. Also running LLMs on the CPU are much slower than GPUs. Under Hardware Accelerator, select GPU. To run Open WebUI with Nvidia GPU support, use this command: Mar 25, 2025 · Or, if you want the GPU support: docker run -d --gpus=all -v ollama:/root/. You signed out in another tab or window. Test Ollama with a Model: --- Test the setup by running a sample model like Mistral: bash ollama run mistral May 25, 2024 · docker run -d -v ollama:/root/. If successful, you’ll see the installed version number. From using "nvidia-smi" on the terminal repeatedly. Is anyone running it under WSL with GPU? I have a 3080. This tutorial should serve as a good reference for anything you wish to do with Ollama, so bookmark it and let’s get started. ollama -p 11434:11434 --name ollama ollama/ollama Run a model. Feb 27, 2025 · 1. This guide will provide you with a step-by-step process for setting up and running DeepSeek on your server using Ollama. 0:11434. A server with NVIDIA GPU (tested with RTX 3060 12GB) Nov 8, 2024 · Right-click on Ollama in your system tray, click "View logs" to open up the log file. sh script from the gist. /ollama serve. I have asked a question, and it replies to me quickly, I see the GPU usage increase around 25%, ok that's seems good. /ollama serve instead of just . On linux, after a suspend/resume cycle, sometimes Ollama will fail to discover your NVIDIA GPU, and fallback to running on the CPU. For a complete list of models, see the Ollama Library . Once it has finished answering, go to the bottom right corner and click on Show Hidden Icons -> Ollama -> View logs. This blog post will guide you through the process of downloading and configuring a large Mar 27, 2024 · Install Ollama without a GPU. 2 and later versions already have concurrency support May 14, 2025 · Before running DeepSeek-R1 on Ollama, we need to properly configure GPU passthrough so that our virtual machine can directly access the GPU. 0. Memory Management: – Use mmap for larger models – Enable swap space optimization Jan 1, 2025 · After I installed ollama through ollamaSetup, I found that it cannot use my gpu or npu. PARAMETER num_thread 18 this will just tell ollama to use 18 threads so using better the CPU $ ollama -h Large language model runner Usage: ollama [flags] ollama [command] Available Commands: serve Start ollama create Create a model from a Modelfile show Show information for a model run Run a model pull Pull a model from a registry push Push a model to a registry list List models cp Copy a model rm Remove a model help Help about any A guide to setup Ollama with GPU with Coolify. conda activate ollama_env pip install --pre --upgrade ipex-llm[cpp] init_ollama # if init_ollama. Ollama with GPU . For instance, if the model fits into a single GPU, you can create multiple GPU server instances on a single Sep 23, 2024 · Introduction. zip zip file is available containing only the Ollama CLI and GPU library dependencies for Nvidia and AMD. Join Ollama’s Discord to chat with other community Ollama is a tool used to run the open-weights large language models locally. Different models for different purposes. - ollama/ollama To enable GPU in this notebook, select Runtime -> Change runtime type in the Menu bar. If there are issues, the response will be slow when interacting with the model. 0 . >>> Install complete. Head over to /etc/systemd/system Mar 14, 2024 · Ollama now supports AMD graphics cards March 14, 2024. Jun 30, 2024 · Make sure the Ollama, that we brought up in the previous step is still running with the downloaded LLM models. Ollama on Windows includes built-in GPU acceleration, access to the full model library, and serves the Ollama API including OpenAI compatibility. The models will need a GPU to run, Run ollama run llama3. If you want to run using your CPU, which is the simplest way to get started, then run this command: docker run -d -v ollama:/root/. Get up and running with Llama 3. Run Ollama Serve: --- After installation, start the Ollama service by running: bash ollama serve & Ensure there are no GPU errors. Hardware Requirements. DeepSeek-R1 should appear in the list of installed models. ollama -p 11434:11434 --name ollama ollama/ollama ⚠️ Warning This is not recommended if you have a dedicated GPU since running LLMs on with this way will consume your computer memory and CPU. Feb 22, 2024 · ollama's backend llama. Jun 15, 2024 · Run Ollama Serve. How to solve this problem? CPU: intel ultra7 258v System: windows 11 24h2 Jun 2, 2025 · FROM ollama/ollama:latest # Listen on all interfaces, port 8080 ENV OLLAMA_HOST 0. This way, you can run high-performance LLM inference locally and not need a cloud May 9, 2024 · This setup provides a seamless and GPU-accelerated environment for running and managing LLMs locally on NVIDIA Jetson devices. Sep 14, 2024 · If the model fits entirely on any single GPU, Ollama will load the model on that GPU. I have 3x 1070. [ ] Jan 29, 2025 · If you’re looking to run Ollama and LLMs (Large Language Models) locally without spending a fortune, you’ll need a GPU with good VRAM, CUDA (for NVIDIA), or ROCm (for AMD). Download ↓ Explore models → Jun 14, 2024 · Running large language models (LLMs) on your local machine has never been easier, thanks to Ollama. --name ollama: Names the container "ollama. Aug 2, 2024 · Photo by Bonnie Kittle on Unsplash. Choosing the right GPU can make a big difference in performance and model compatibility. -v May 20, 2025 · Once you enable GPU passthrough though, it is easy to pass these PCI devices to your virtual machines, or LXC containers. If you're running models on the Ollama platform, selecting the right NVIDIA GPU is crucial for performance and cost-effectiveness. Additionally, I've included aliases in the gist for easier switching between GPU selections. To enable GPU support, you'll need to install the appropriate drivers for your graphics card. Run the script with administrative privileges: sudo . ollama -p 11434:11434 --name ollama ollama/ollama. This is very simple, all we need to do is to set CUDA_VISIBLE_DEVICES to a specific GPU(s). This article is a guide to run Large Language Models using Ollama on H100 GPUs offered by DigitalOcean. Make it executable: chmod +x ollama_gpu_selector. Ollama now supports AMD graphics cards in preview on Windows and Linux. GPU Acceleration: – NVIDIA GPUs: Install CUDA 11. Ask the model a question. Downloading models locally. I personally use an MSI RTX 2080 SUPER, and it runs Deepseek-R1 smoothly. 7 or later – AMD GPUs: Enable ROCm support # Check GPU availability ollama run llama2 "Hello" --verbose # Enable specific GPU CUDA_VISIBLE_DEVICES=0 ollama run llama2. docker exec -it ollama ollama run llama2 More models can be found on the Ollama library. When you have GPU available, the processing of the LLM chats are offloaded to your GPU. Get up and running with large language models. Additionally, you can use Windows Task Manager to Apr 29, 2024 · By utilizing the GPU, OLLAMA can speed up model inference by up to 2x compared to CPU-only setups. AMD Radeon. 2 on their own hardware. Running Ollama on AMD GPU Jul 19, 2024 · While it is responding, open a new command line window and run ollama ps to check if Ollama is using the GPU and to see the usage percentage. /ollama_gpu_selector. Run "ollama" from the command May 12, 2025 · Note that basically we changed only the allocation of GPU cores and threads. I'm using NixOS, not that it should matter. Install NVIDIA Container Toolkit. Feb 25, 2024 · $ docker exec -ti ollama-gpu ollama run llama2 >>> What are the advantages to WSL Windows Subsystem for Linux (WSL) offers several advantages over traditional virtualization or emulation methods of running Linux on Windows: 1. Reload to refresh your session. Start the Ollama runtime by opening a terminal and typing: ollama start; Once the runtime is active, run DeepSeek-R1 by entering: ollama run deepseek-r1:32b [PROMPT] Replace [PROMPT] with your desired input. exe and follow the installation prompts. Go to your oldest serverX. . By default, Ollama utilizes all available GPUs, but sometimes you may want to dedicate a specific GPU or a subset of your GPUs for Ollama's use. Oct 5, 2023 · Run Ollama inside a Docker container; docker run -d --gpus=all -v ollama:/root/. ollama run [model name] # ollama run llama2 # ollama run mistral Replace [model name] with the name of the AI model you wish to deploy. env file. PARAMETER num_gpu 0 this will just tell the ollama not to use GPU cores (I do not have a good GPU on my test machine). Dec 10, 2023 · Hi I am running it under WSL2. 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). 3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3. cpp does not support concurrent processing, so you can run 3 instance 70b-int4 on 8x RTX 4090, set a haproxy/nginx load balancer for ollama api to improve performance. Ollama supports the following AMD GPUs: Linux Support Jul 17, 2024 · What is the issue? my model sometime run half on cpu half on gpu，when I run ollam ps command it shows 49% on cpu 51% on GPU，how can I config to run model always only on gpu mode but disable on cpu？ pls help me OS Linux GPU No response CP Feb 1, 2025 · Setting the correct environment variables in the service file is crucial for running Ollama in a GPU-enabled environment. This guide explores the relationship between model sizes and GPU memory requirements and recommends the best NVIDIA GPUs for different workloads. May 12, 2025 · Running Ollama itself isn't much of a drag and can be done on a wide range of hardware. Feb 12, 2025 · Ollama is a powerful tool for running and managing AI models locally, but setting it up to leverage an AMD GPU on Ubuntu requires a few extra steps. Navigate to app folder in the repo and run docker-compose up -d This will bring up a Jan 6, 2024 · Download the ollama_gpu_selector. Now you can run a model like Llama 2 inside the container. The tokens are produced at roughly the same rate as before. Open your terminal and run: ollama run llama2 May 23, 2024 · Deploying Ollama with GPU. Ollama has support for GPU acceleration using CUDA. 2:1b on cmd. Once that's done, running OLLAMA with GPU support is as simple as adding a --gpu flag to your command: Apr 24, 2024 · docker run -it --rm -p 11434:11434 --name ollama ollama/ollama Transitioning to GPU Acceleration To leverage the GPU for improved performance, modify the Docker run command as follows: You signed in with another tab or window. Aug 14, 2024 · 2. Apr 19, 2024 · Open WebUI UI running LLaMA-3 model deployed with Ollama Introduction. >>> The Ollama API is now available at 0. Step 3: Run DeepSeek-R1. Run Your First Model. 3. DigitalOcean GPU Droplets provide a powerful, scalable solution for AI/ML training, inference, and other compute-intensive tasks such as deep learning, high-performance computing (HPC), data analytics, and graphics rendering. We will use docker image for running Open Web UI. log file and search gfx. - ollama/docs/gpu. 5‑VL , Gemma 3 , and other models, locally. set no_proxy=localhost,127. ⚠️ It is strongly recommended to have at least one GPU for smooth model operation. md at main · ollama/ollama Dec 16, 2024 · Install Ollama Double-click OllamaSetup. Running Ollama on AMD GPU If you have a AMD GPU that supports ROCm, you can simple run the rocm version of the Ollama image. May 28, 2025 · If you want to run Ollama on a specific GPU or multiple GPUs, this tutorial is for you. 1 and other large language models. This involves enabling IOMMU, configuring the system to use VFIO drivers, and setting up the VM correctly. You switched accounts on another tab or window. Written by Xiaojian Yu. 2. Mar 29, 2025 · While you can run Ollama with a single Docker command, Docker Compose offers several advantages: Configuration as code: Your entire setup is documented in a YAML file; Easy resource management: Configure memory limits, GPU access, and networking in one place; Service orchestration: Run multiple containers that work together (like adding a web UI) May 25, 2024 · This is not recommended if you have a dedicated GPU since running LLMs on with this way will consume your computer memory and CPU. Ollama 0. Ollama is a robust framework designed for local execution of large language models. Step 4: Now run the Open Web UI which will provide us interface to these LLM Models. All the features of Ollama can now be accelerated by AMD graphics cards on Ollama for Linux and Windows. To run, select Runtime -> Run all. Mar 7, 2024 · Running Ollama [cmd]. You can workaround this driver bug by reloading the NVIDIA UVM driver with sudo rmmod nvidia_uvm && sudo modprobe nvidia_uvm. This guide showcases the power and versatility of NVIDIA Jetson devices when paired with Ollama and Open WebUI, enabling advanced AI workloads at the edge with ease and efficiency. ----Follow. It’s quick to install, pull the LLM models and start prompting in your terminal / command prompt. "-p 11434:11434: Maps port 11434 from the container to the host. Run ollama serve Running Ollama in server mode without entering chat mode can also give you clues. Please run the following command in Miniforge Prompt. I see the same with a AMD GPU on Linux. What is … Ollama Tutorial: Your Guide to running LLMs Locally Read More » Nov 12, 2024 · In this post, I’ll walk you through the process of setting up NVIDIA GPU Operator, Ollama, Follow the steps below to download the Mistral 7B model to Ollama running on the Kubernetes cluster. sg:. It provides a user-friendly approach to Jan 27, 2025 · Verify the installation by running: ollama list. Then, scroll to the Configuration cell and update it with your ngrok authentication token. If you have a Sep 25, 2024 · The extensive support for AMD GPUs by Ollama demonstrates the growing accessibility of running LLMs locally. Follow the prompts to select the GPU(s) for Ollama. Verify Installation Open a terminal (Command Prompt, PowerShell, or your preferred CLI) and type: ollama --version. Here are the key configurations: OLLAMA_HOST: Now that we have set up the environment, Intel GPU drivers, and runtime libraries, we can configure ollama to leverage the on-chip GPU. The model files will be downloaded automatically, and you just wait for the download to complete. The bigger the model, the more horsepower you need. Run DeepSeek-R1 , Qwen 3 , Llama 3. This allows for embedding Ollama in existing applications, or running it as a system service via ollama serve with tools such as NSSM . 0:8080 # Store model weight files in /models ENV OLLAMA_MODELS /models # Reduce logging verbosity ENV OLLAMA_DEBUG false # Never unload model weights from the GPU ENV OLLAMA_KEEP_ALIVE-1 # Store the model weights in the container image ENV MODEL gemma3:4b RUN Tutorial - Ollama Ollama is a popular open-source tool that allows users to easily run a large language models (LLMs) locally on their own computer, serving as an accessible entry point to LLMs for many. Go to this cell and read the instructions on how to update your . If your GPU model appears then Ollama has succesfully found your GPU. Here's a breakdown of what's going on with this command: docker run -d: Runs the container in detached mode. Feb 10, 2025 · To make managing and running DeepSeek easier, we can utilize Ollama, a lightweight command-line tool designed for handling large AI models locally or on cloud-based VPS. 3 , Qwen 2. If you see a message saying, “no compatible GPUs were discovered,” then it’s a good indication Ollama defaulted to using your CPU. This tutorials is only for linux machine. I see that the model's size is fairly evenly split amongst the 3 GPU, and the GPU processor utilization rate seems to go up at different GPUs @ different times. Dec 25, 2024 · You can see the ollama process in running state. But you can use it to maximize the use of your GPU. It is telling me that it cant fing the GPU. The idea for this guide originated from the following issue: Run Ollama on dedicated GPU. ollama -p 11434:11434 --name ollama as far as I can tell, the advantage of multiple gpu is to increase your VRAM capacity to load larger models. sh. Make sure and quit If you'd like to install or integrate Ollama as a service, a standalone ollama-windows-amd64. Supported graphics cards Feb 15, 2024 · Ollama is now available on Windows in preview, making it possible to pull, run and create large language models in a new native Windows experience. All CPU cores are going full, but memory is reserved on the GPU with 0% GPU usage. Based on the detailed guide from geek. ollama run llama3. 1 set ZES_ENABLE_SYSMAN=1 set OLLAMA_NUM_GPU=999 ollama serve To allow the service to accept connections from all IP addresses, use OLLAMA_HOST=0. bat is not available in your environment, restart your terminal Aug 2, 2023 · I've tried with both ollama run codellama and ollama run llama2-uncensored. Aug 16, 2024 · You now have a hosted OLLAMA service running in a K8s with a GPU! You can use the WebUI or Python library to do tests and enjoy a smooth experience. dbochs hzzmt bkwuro kjow jcngzvp rsngw lgxjh ggagde posm sasvdpu