Comments (6)
Ahh, try updating your Nvidia driver and CUDA runtime on the host, Ollama needs CUDA 12.x and a 5xx series driver afaik. Which GPU is it?
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We've seen some driver issues with 55x, try a 54x driver and CUDA 12.4, I think this should resolve it.
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You were right, it was a nvidia driver issue !
I managed to get to the latest version available for me (535) which includes CUDA 12.2 and it is now using far less CPU ! The model response is also printed faster and I see the GPU usage growing
Thanks 👍 !
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Do you have the Nvidia Container Toolkit installed? https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html
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Yes I followed those instructions, I also followed https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/sample-workload.html to test my setup so I ran this command:
sudo docker run --rm --runtime=nvidia --gpus all ubuntu nvidia-smi
And got the following result :
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Which GPU is it?
NVIDIA GeForce RTX 3060 Laptop GPU
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