#shell #ai #containers #inference_server #llamacpp #llm #podman #vllm
RamaLama is a tool that makes working with AI models easy by using containers. It checks your system for GPU support and uses CPU if no GPU is found. RamaLama uses container engines like Podman or Docker to run AI models, so you don't need to configure your system. You can pull and run AI models from various registries with simple commands, and it supports multiple types of hardware including CPUs and GPUs. This makes it convenient for users as they don't have to set up complex environments, and they can interact with different models easily.
https://github.com/containers/ramalama
RamaLama is a tool that makes working with AI models easy by using containers. It checks your system for GPU support and uses CPU if no GPU is found. RamaLama uses container engines like Podman or Docker to run AI models, so you don't need to configure your system. You can pull and run AI models from various registries with simple commands, and it supports multiple types of hardware including CPUs and GPUs. This makes it convenient for users as they don't have to set up complex environments, and they can interact with different models easily.
https://github.com/containers/ramalama
GitHub
GitHub - containers/ramalama: RamaLama is an open-source developer tool that simplifies the local serving of AI models from any…
RamaLama is an open-source developer tool that simplifies the local serving of AI models from any source and facilitates their use for inference in production, all through the familiar language of ...