Ollama is not using gpu. 25 words/s, making it unusable for me. Run: go generate . All right. json, and it's been working without issue for many hours. cgroupdriver=cgroupfs"] to my daemon. For most attempts at using Ollama, I cannot use Ollama without first restarting the container. Feb 24, 2024 · Guys, have some issues with Ollama on Windows (11 + WSL2). 33 is not. May 8, 2024 · I'm running the latest ollama build 0. x. Jul 3, 2024 · What is the issue? I updated ollama version from 0. Run the script with administrative privileges: sudo . Make it executable: chmod +x ollama_gpu_selector. Aug 8, 2024 · A few days ago, my ollama could still run using the GPU, but today it suddenly can only use the CPU. 0. 3. Do one more thing, Make sure the ollama prompt is closed. Assuming you want to utilize your gpu more, you want to increase that number, or if you just want ollama to use most of your gpu, delete that parameter entirely. Dec 28, 2023 · I have ollama running on background using a model, it's working fine in console, all is good and fast and uses GPU. `nvtop` says: 0/0/0% - Oct 17, 2023 · Ollama does not make use of GPU (T4 on Google Colab) #832. If do then you can adapt your docker-compose. Mar 7, 2024 · Download Ollama and install it on Windows. Users on MacOS models without support for Metal can only run ollama on the CPU. You signed in with another tab or window. 5 and cudnn v 9. This should increase compatibility when run on older systems. I decided to compile the codes myself and found that WSL's default path setup could be a problem. But since you're already using a 3bpw model probably not a great idea. Nov 8, 2023 · Requesting a build flag to only use the CPU with ollama, not the GPU. Aug 4, 2024 · I installed ollama on ubuntu 22. How to Use Ollama to Run Lllama 3 Locally. Dec 21, 2023 · Finally followed the suggestion by @siikdUde here: ollama install messed the CUDA setup, ollama unable to use CUDA #1091 and installed oobabooga, this time the GPU was detected but is apparently not being used. Here is my output from docker logs ollama: time=2024-03-09T14:52:42. Since reinstalling I see that it's only using my CPU. 7 GB). Apr 24, 2024 · Harnessing the power of NVIDIA GPUs for AI and machine learning tasks can significantly boost performance. May 8, 2024 · Struggling on how to resolve an issue where some llama models fully utilize the GPU and some do not. I have tried different models from big to small. Using the name of the authors or the project you're building on can also read like an endorsement, which is not _necessarily_ desirable for the original authors (it can lead to ollama bugs being reported against llama. . Dec 20, 2023 · it does not appear to use the GPU based on GPU usage provided by GreenWithEnvy (GWE), but I am unsure how to verify that information. 2-q8_0 gpu: 2070 super 8gb Issue: Recently I switch from lm studio to ollama and noticed that my gpu never get above 50% usage while my cpu is always over 50%. g. Here's what I did to get GPU acceleration working on my Linux machine: Tried that, and while it printed the ggml logs with my GPU info, I did not see a single blip of increased GPU usage and no performance improvement at all. Additional Considerations: Feb 15, 2024 · 👋 Just downloaded the latest Windows preview. All this while it occupies only 4. I just got a Microsoft laptop7, the AIPC, with Snapdragon X Elite, NPU, Adreno GPU. 85), we can see that ollama is no longer using our GPU. 07 drivers - nvidia is set to "on-demand" - upon install of 0. I have Nvidia cuda toolkit installed. Here’s how: hello, Window preview version model used : mistral:7b-instruct-v0. I still see high cpu usage and zero for GPU. 10 and updating to 0. 9" services: ollama: container_name: ollama image: ollama/ollama:rocm deploy: resources: reservations: devices: - driver: nvidia capabilities: ["gpu"] count: all volumes: - ollama:/root/. GPU is fully utilised by models fitting in VRAM, models using under 11 GB would fit in your 2080Ti VRAM. If a GPU is not found, Ollama will issue a May 15, 2024 · This typically involves installing the appropriate drivers and configuring the GPU devices in the Ollama configuration file. Ollama models works on CPU, not on GPU (Nvidia 1080 11G). For example, to run Ollama with 4 GPUs, the user would use the following command: May 15, 2024 · This typically involves installing the appropriate drivers and configuring the GPU devices in the Ollama configuration file. I didn't catch the no-gpu thing earlier. Edit - I see now you mean virtual RAM. To use them: ollama run llama2 --verbose This command provides detailed information about model loading time, inference speed, and resource usage. Running Ollama with GPU Acceleration in Docker. I've tried `export ROCR_VISIBLE_DEVICES=0` and restarted ollama service but the log is still showing 1. llama. +-----+ | NVIDIA-SMI 525. 41. Jan 30, 2024 · ollama log shows "INFO ROCm integrated GPU detected - ROCR_VISIBLE_DEVICES=1". I decided to run Ollama building from source on my WSL 2 to test my Nvidia MX130 GPU, which has compatibility 5. then follow the development guide ,step1,2 , then search gfx1102, add your gpu where ever gfx1102 show . Have an A380 idle in my home server ready to be put to use. Check if there's a ollama-cuda package. go the function NumGPU defaults to returning 1 (default enable metal Configure Environment Variables: Set the OLLAMA_GPU environment variable to enable GPU support. Ollama leverages the AMD ROCm library, which does not support all AMD GPUs. What did you expect to see? better inference speed with full utilization of gpu especially when gpu ram is not limiting. / go build . 48 ,and then found that ollama not work GPU. For a llama2 model, my CPU utilization is at 100% while GPU remains at 0%. I have NVIDIA CUDA installed, but I wasn't getting llama-cpp-python to use my NVIDIA GPU (CUDA), here's a sequence of I do have cuda drivers installed: I think I have a similar issue. Despite setting the environment variable OLLAMA_NUM_GPU to 999, the inference process is primarily using 60% of the CPU and not the GPU. Here, you can stop the Ollama server which is serving the OpenAI API compatible API, and open a folder with the logs. /deviceQuery Starting CUDA Device Query (Runtime API) version (CUDART static linking) Detected 1 CUDA Capable device(s) Device 0: "NVIDIA GeForce RTX 3080 Ti" CUDA Driver Version / Runtime Version 12. Reload to refresh your session. When I run the script it still takes 5 minutes to finish just like on my local computer, and when I check the GPU usage using pynvml it says 0%. Oct 16, 2023 · Starting the next release, you can set LD_LIBRARY_PATH when running ollama serve which will override the preset CUDA library ollama will use. No response Jul 9, 2024 · When I run Ollama docker, machine A has not issue running with GPU. is it not using my 6700XT GPU with 12GB VRAM? Is there some way I need to configure docker for ollama container to give it more RAM, cpus and access to GPU? OR is there a better option to run on ubuntu server that mimics the OpenAI API so that webgui works with it? Jul 11, 2024 · However, when I start the model and ask it something like "hey," it uses 100% of the CPU and 0% of the GPU, and the response takes 5-10 minutes. /deviceQuery . the GPU shoots up when given a prompt for a moment (<1 s) and then stays at 0/1 %. cpp is not bad to install standalone, ollama I heard could work with their binaries. Stuck behind a paywall? Read for Free! Mar 12, 2024 · You won't get the full benefit of GPU unless all the layers are on the GPU. During that run the nvtop command and check the GPU Ram utlization. 6 GB 100% CPU 4 minutes from now We would like to show you a description here but the site won’t allow us. 105. Dec 21, 2023 · Ollama, at least, needs to say in logs that i'm not going to use Gpu because your vram is less. Ollama RAG Chatbot (Local Chat with multiple PDFs using Ollama and RAG) BrainSoup (Flexible native client with RAG & multi-agent automation) macai (macOS client for Ollama, ChatGPT, and other compatible API back-ends) Jun 30, 2024 · A guide to set up Ollama on your laptop and use it for Gen AI applications. 10 now. ollama -p 114 $ 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 command Flags: -h, --help help for ollama -v Dec 28, 2023 · Bug Report Description Bug Summary: I have ollama running on background using a model, it's working fine in console, all is good and fast and uses GPU. 04. But also. 2024 from off-site, version for Windows. 32 to 0. How to make Ollama use my GPU? I tried different server settings Apr 4, 2024 · Ollama some how does not use gpu for inferencing. go:77 msg="Detecting GPU type" Aug 31, 2023 · I also tried this with an ubuntu 22. 3bpw instead of 4bpw, so everything can fit on the GPU. ollama is installed directly on linux (not a docker container) - I am using a docker container for openweb-ui and I see the We don't yet have a solid way to ignore unsupported cards and use supported cards, so we'll disable GPU mode if we detect any GPU that isn't supported. 04 with AMD ROCm installed. Here's how to use them, including an example of interacting with a text-based model and using an image model: Text-Based Models: After running the ollama run llama2 command, you can interact with the model by typing text prompts directly into the terminal. Just git pull the ollama repo. You switched accounts on another tab or window. 2 / 12. 04 Virtual Machine using the the Ollama Linux install process which also installed the latest Cuda Nvidia Drivers and it is not using my GPU. cpp instead of to the ollama devs and other forms of support request toil). Or give other reason as to why it chose to not use GPU. 11 didn't help. May 25, 2024 · One for the Ollama server which runs the LLMs and one for the Open WebUI which we integrate with the Ollama server from a browser. Yeah, if you're not using gpu, your CPU has to do all the work, so you should expect full usage. 105 Mar 14, 2024 · Ollama now supports AMD graphics cards March 14, 2024. go:800 msg= I'm seeing a lot of CPU usage when the model runs. 7 GB 100% GPU 4 minutes from now Jun 28, 2024 · Hi all. I tried to reinstall ollama, use an old version of ollama, and We would like to show you a description here but the site won’t allow us. sh script from the gist. You have the option to use the default model save path, typically located at: C:\Users\your_user\. Which unfortunately is not currently supported by Ollama. For example, to run Ollama with 4 GPUs, the user would use the following command: Jun 11, 2024 · GPU: NVIDIA GeForce GTX 1050 Ti CPU: Intel Core i5-12490F Ollama version: 0. 263+01:00 level=INFO source=gpu. OS: ubuntu 22. 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. The 6700M GPU with 10GB RAM runs fine and is used by simulation programs and stable diffusion. I run ollama-webui and I'm not using docker, just did nodejs and uvicorn stuff and it Dec 27, 2023 · In general, Ollama is going to try to use the GPU and VRAM before system memory. I think 1 indicates it is using CPU's integrated GPU instead of the external GPU. I tried both releases and I can't find a consistent answer on whether or not looking at the issues posted here. Mar 28, 2024 · Ollama offers a wide range of models for various tasks. This can be done in your terminal or through your system's environment settings. Jul 19, 2024 · The simplest and most direct way to ensure Ollama uses the discrete GPU is by setting the Display Mode to Nvidia GPU only in the Nvidia Control Panel. 33, Ollama no longer using my GPU, CPU will be used instead. 02. May 31, 2024 · I pip installed ollama and pulled llama 3 8gb version after connecting to the virtual machine using SSH. : $ ollama ps NAME ID SIZE PROCESSOR UNTIL qwen:1. Look for messages indicating “Nvidia GPU detected via cudart” or similar wording within the logs. As shown in the image below, May 23, 2024 · Ollama can't make use of NVIDIA GPUs when using latest drivers - fix is easy: Downgrade and wait for the next release. 1. 3 CUDA Capability Major/Minor version number: 8. I run ollama-webui and I'm not using docker, just did nodejs and uvicorn stuff and it's running on port 8080, it communicated with local ollama I have thats running on 11343 and got the models available. / Hi @easp, I'm using ollama to run models on my old MacBook Pro with an Intel (i9 with 32GB RAM) and an AMD Radeon GPU (4GB). Once the GPUs are properly configured, the user can run Ollama with the --gpus flag, followed by a comma-separated list of the GPU device IDs. This confirmation signifies successful GPU integration with Ollama. Feb 24, 2024 · I was trying to run Ollama in a container using podman and pulled the official image from DockerHub. If you want to use GPU of your laptop for inferencing, you can make a small change in your docker-compose. Using the newly available ollama ps command confirmed the same thing: NAME ID SIZE PROCESSOR UNTIL mistral:latest 61e88e884507 4. Test Scenario: Use testing tools to increase the GPU memory load to over 95%, so that when loading the model, it can be split between the CPU and GPU. Mar 9, 2024 · I'm running Ollama via a docker container on Debian. (Use docker ps to find the container name). We would like to show you a description here but the site won’t allow us. Supported graphics cards Dec 10, 2023 · . 5gb of gpu ram. I added "exec-opts": ["native. This guide will walk you through the process of running the LLaMA 3 model on a Red Hat Mar 1, 2024 · My CPU does not have AVX instructions. For example The Radeon RX 5400 is gfx1034 (also known as 10. 90. Using Windows 11, RTX 2070 and latest Nvidia game ready drivers. Thanks! I used Ollama and asked dolphin-llama3:8b what this line does: Prompt Huge fan of ollama. first ,run the command ollama run gemma:latest no matter any model then ,run this command ps -ef|grep ollama I got these info: ol Dec 19, 2023 · Extremely eager to have support for Arc GPUs. It would be nice to be able to set the number of threads other than using a custom model with the num_thread parameter. We've been improving our prediction algorithms to get closer to fully utilizing the GPU's VRAM, without exceeding it, so I'd definitely encourage you to try the latest release. I compared the differences between the old and new scripts and found that it might be due to a piece of logic being deleted? OS. 4) however, ROCm does not currently support this target. However, now that the model is being run on the CPU, the speed has significantly decreased, with performance dropping from 3-6 words/s to just ~0. Unfortunately, the problem still persi You signed in with another tab or window. Before I did I had ollama working well using both my Tesla P40s. CPU. Jan 30, 2024 · Good news: the new ollama-rocm package works out of the box, use it if you want to use ollama with an AMD GPU. ps1,add your gpu number there . example: llama3:latest, fully utilizes the GPU as does llama2:latest but neither mixtral nor llama3:70b are even touching the GPU and solely peg out most if not all cores on the 7900x. 6 Total amount of global memory: 12288 MBytes (12884377600 bytes) (080) Multiprocessors, (128) CUDA Cores/MP: 10240 CUDA Don't know Debian, but in arch, there are two packages, "ollama" which only runs cpu, and "ollama-cuda". ollama restart: always volumes: ollama: May 21, 2024 · Later I noticed that ollama now no longer uses my GPU, noticing it was much slower and looking at resources there GPU memory was not used. Nov 11, 2023 · I have a RTX 3050 I went through the install and it works from the command-line, but using the CPU. But I found that NPU is not running when using Ollama. 32, and noticed there is a new process named ollama_llama_server created to run the model. 04 VM client says it's happily running nvidia CUDA drivers - but I can't Ollama to make use of the card. Apr 20, 2024 · make sure make your rocm support first . 32 can run on GPU just fine while 0. An example image is shown below: The following code is what I use to increase GPU memory load for testing purposes. Feb 22, 2024 · ollama's backend llama. May 2, 2024 · What is the issue? After upgrading to v0. I am using mistral 7b. It is an ARM based system. I do see a tiny bit of GPU usage but I don't think what I'm seeing is optimal. x or 3. Apr 19, 2024 · Note: These installation instructions are compatible with both GPU and CPU setups. Model I'm trying to run : starcoder2:3b (1. I think it's CPU only. "? The old version of the script had no issues. May 15, 2024 · I am running Ollma on a 4xA100 GPU server, but it looks like only 1 GPU is used for the LLaMa3:7b model. download somewhere in github , eg, here replace the file in hip sdk. I have asked a question, and it replies to me quickly, I see the GPU usage increase around 25%, ok that's seems good. GPU. Ollama on Windows includes built-in GPU acceleration, access to the full model library, and serves the Ollama API including OpenAI compatibility. @MistralAI's Mixtral 8x22B Instruct is now available on Ollama! ollama run mixtral:8x22b We've updated the tags to reflect the instruct model by default. I just upgraded to 0. I recently reinstalled Debian. podman run --rm -it --security-opt label=disable --gpus=all ollama But I was met with the following log announcing that my GPU was not d May 9, 2024 · After running the command, you can check Ollama’s logs to see if the Nvidia GPU is being utilized. AMD ROCm setup in . Although this is the first official linux release, I've been using it on linux already for a few months now with no issues (through the arch package which builds from source). However, the intel iGPU is not utilized at all on my system. 622Z level=INFO source=images. 0 and I can check that python using gpu in liabrary like pytourch (result of Apr 2, 2024 · Ok then yes - the Arch release does not have rocm support. When I try running this last step, though (after shutting down the container): docker run -d --gpus=all -v ollama:/root/. In some cases you can force the system to try to use a similar LLVM target that is close. Maybe the package you're using doesn't have cuda enabled, even if you have cuda installed. I read that ollama now supports AMD GPUs but it's not using it on my setup. yml file. Feb 28, 2024 · If you have followed those instructions, can you share the server log from the container so we can see more information about why it's not loading the GPU? It may be helpful to set -e OLLAMA_DEBUG=1 to the ollama server container to turn on debug logging. Ollama will run in CPU-only mode. Cd into it. When I look at the output log, it said: Apr 8, 2024 · What model are you using? I can see your memory is at 95%. As far as I can tell, Ollama should support my graphics card and the CPU supports AVX. Linux. Mar 18, 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). For me, I am using an RTX3060 8GB and the issue really doesn't seem to be around which Linux distro, I get the same issue with ubuntu. How to Use: Download the ollama_gpu_selector. If not, you might have to compile it with the cuda flags. I'm running Aug 2, 2023 · @voodooattack wrote:. 17 Driver Version: 525. Running Ollama on Google Colab (Free Tier): A Step-by-Step Guide. I was able to CURL the server, but I notice that the server does not make use of the notebook GPU. Jun 11, 2024 · What is the issue? After installing ollama from ollama. My Intel iGPU is Intel Iris Feb 19, 2024 · Hello, Both the commands are working. Nvidia. Is there a specific command I need to run to ensure it uses the GPU instead of the CPU? Ollama not using GPUs. As a workaround until we fix #1756 , you can pull the K80 and Ollama should run on the P40 GPU. At the moment, Ollama requires a minimum CC of 5. Apr 20, 2024 · @igorschlum thank you very much for the swift response. May 24, 2024 · This bug has been super annoying. From the server-log: time=2024-03-18T23:06:15. But machine B, always uses the CPU as the response from LLM is slow (word by word). 8b-chat-fp16 7b9c77c7b5b6 3. When you run Ollama on Windows, there are a few different locations. How can I use all 4 GPUs simultaneously? I am not using a docker, just use ollama serve and Feb 8, 2024 · My system has both an integrated and a dedicated GPU (an AMD Radeon 7900XTX). Mar 5, 2024 · In my case, I use a dual-socket 2x64 physical cores (no GPU) on Linux, and Ollama uses all physical cores. Getting started was literally as easy as: pacman -S ollama ollama serve ollama run llama2:13b 'insert prompt' You guys are doing the lord's work here Regularly monitoring Ollama's performance can help identify bottlenecks and optimization opportunities. 33 and older 0. On the same PC, I tried to run 0. CUDA: If using an NVIDIA GPU, the appropriate CUDA version must be installed and configured. Steps to reproduce Mar 21, 2024 · If the ID of your GPU of Level-zero is not 0, please change the device ID in the script. Offline #15 2024-05-16 00:33:16. bashrc Jul 29, 2024 · Yes, that must be because autotag looks in your docker images for containers with matching names, and yea it found ollama/ollama - sorry about that haha. May 28, 2024 · I have an NVIDIA GPU, but why does running the latest script display: "No NVIDIA/AMD GPU detected. The Xubuntu 22. Testing the GPU mapping to the container shows the GPU is still there: May 14, 2024 · This seems like something Ollama needs to work on and not something we can manipulate directly via the built-in ollama/ollama#3201. To deploy Ollama, you have three options: Running Ollama on CPU Only (not recommended) If you run the ollama image with the command below, you will start the Ollama on your computer memory and CPU. I couldn't help you with that. I would not downgrade back to JP5, if for none other than a lot of ML stuff is on Python 3. Ollama does work, but GPU is not being used at all as per the title message. Using Ollama's Built-in Profiling Tools. The CUDA Compute Capability of my GPU is 2. You signed out in another tab or window. 48 machine reports nvidia GPU detected (obviously, based on 2 of 4 models using it extensively). For users who prefer Docker, Ollama can be configured to utilize GPU acceleration. It may be worth installing Ollama separately and using that as your LLM to fully leverage the GPU since it seems there is some kind of issues with that card/CUDA combination for native pickup. Currently in llama. For example, if you want to Jul 22, 2024 · effectively, when you see the layer count lower than your avail, some other application is using some % of your gpu - ive had a lot of ghost app using mine in the past and preventing that little bit of ram for all the layers, leading to cpu inference for some stuffgah - my suggestion is nvidia-smi -> catch all the pids -> kill them all -> retry Apr 26, 2024 · I'm assuming that you have the GPU configured and that you can successfully execute nvidia-smi. I see ollama ignores the integrated card, detects the 7900XTX but then it goes ahead and uses the CPU (Ryzen 7900). All the features of Ollama can now be accelerated by AMD graphics cards on Ollama for Linux and Windows. Docker: ollama relies on Docker containers for deployment. I'm not sure if I'm wrong or whether Ollama can do this. Everything looked fine. If manually running ollama serve in a terminal, the logs will be on that terminal. 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 now supports AMD graphics cards in preview on Windows and Linux. Ollama provides built-in profiling capabilities. Feb 6, 2024 · Even though it took some time to load and macOS had to swap out nearly everything else in memory, it ran smoothly and quickly. Ollama uses only the CPU and requires 9GB RAM. Jun 30, 2024 · When the flag 'OLLAMA_INTEL_GPU' is enabled, I expect Ollama to take full advantage of the Intel GPU/iGPU present on the system. com it is able to use my GPU but after rebooting it no longer is able to find the GPU giving the message: CUDA driver version: 12-5 time=2024-06-11T11:46:56. 2. I also see log messages saying the GPU is not working. Jun 14, 2024 · What is the issue? I am using Ollama , it use CPU only and not use GPU, although I installed cuda v 12. All reactions Aug 23, 2023 · The previous answers did not work for me. Feb 18, 2024 · The only prerequisite is that you have current NVIDIA GPU Drivers installed, if you want to use a GPU. After the installation, the only sign that Ollama has been successfully installed, is the Ollama logo in the toolbar. As the inference performances does not scale above 24 cores (in my testing), this is not relevant. version: "3. Ollama version - was downloaded 24. yml as follows:. Nov 24, 2023 · I have been searching for solution on Ollama not using the GPU in WSL since 0. ollama Oct 11, 2023 · I am testing using ollama in a collab, and its not using the GPU at all and we can see that the GPU is there. Ollama will automatically detect and utilize a GPU if available. As the above commenter said, probably the best price/performance GPU for this work load. 32 side by side, 0. sh. e. 48 with nvidia 550. ollama run mistral and make a request: "why is the sky blue?" GPU load would appear while the model is providing the response. I found my issue, (it was so stupid) this may effect any distro but i was using openSUSE tumbleweed, if you install ollama from the package manager it appears to be out of date or somethings wrong, installing using the script appeared to fix my issue. Jul 27, 2024 · If "shared GPU memory" can be recognized as VRAM, even it's spead is lower than real VRAM, Ollama should use 100% GPU to do the job, then the response should be quicker than using CPU + GPU. You might be better off using a slightly more quantized model e. GPU usage would show up when you make a request, e. Therefore, no matter how powerful is my GPU, Ollama will never enable it. Dec 31, 2023 · A GPU can significantly speed up the process of training or using large-language models, but it can be challenging just getting an environment set up to use a GPU for training or inference Mar 20, 2024 · I have followed (almost) all instructions I've found here on the forums and elsewhere, and have my GeForce RTX 3060 PCI Device GPU passthrough setup. tronicdude Member May 23, 2024 · As we're working - just like everyone else :-) - with AI tooling, we're using ollama host host our LLMs. Then git clone ollama , edit the file in ollama\llm\generate\gen_windows. However I can verify the GPU is working hashcat installed and being benchmarked May 13, 2024 · If you can upgrade to the newest version of ollama you can try out the ollama ps command which should tell you if your model is using the GPU or not. /ollama_gpu_selector. Updating to the recent NVIDIA drivers (555. Jan 6, 2024 · This script allows you to specify which GPU(s) Ollama should utilize, making it easier to manage resources and optimize performance. 544-07:00 level=DEBUG sou Bad: Ollama only makes use of the CPU and ignores the GPU. qafxzxrrsioexirryptjvwqqpfofxqfknsorsvdxzkpldh