Fix K8s pod connection issues
When trying to deploy, if the following error pops up: We need to delete the calico pods so we can deploy new pods:
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Linux WiFi disable power mode
Check your current power save state: Unless it has been previously changed, it should read: In this context, 3 indicates that the Network Manager will use power saving. Let’s change it to 2, indicating that the system will not use power saving. From the terminal:
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Install multiple versions of python
Get automatic installer Add path to .bashrc Reload bash Install python version
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Bind Ollama to 0.0.0.0 interface
Edit Ollama service Add: Restart Ollama service:
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Install Docker, Kubectl and Helm
Set up Docker’s apt repository. Install the Docker packages. Grant user permissions Installing Kubectl Get installer Install Kubectl Generate kubeconfig in master node Copying kubeconfig to local machine Set permissions for k8s config file Installing Helm
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Installing Git Prompt
Repository Clone repository Edit ~/.bashrc file: Add: Reload the bash:
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Installing Nvidia Cuda on Linux
CUDA Toolkit Installer https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=x86_64&Distribution=Ubuntu&target_version=24.04&target_type=deb_local Tensor RT Download deb installer from: https://developer.nvidia.com/tensorrt/download/10x Instructions: https://docs.nvidia.com/deeplearning/tensorrt/install-guide/index.html#installing-debian cuDNN 9.4.0 https://developer.nvidia.com/cudnn-downloads?target_os=Linux&target_arch=x86_64&Distribution=Ubuntu&target_version=24.04&target_type=deb_local To install for CUDA 11, perform the above configuration but install the CUDA 11 specific package: To install for CUDA 12, perform the above configuration but install the CUDA 12 specific package:
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