RamaLama is an open-source tool that simplifies the local use and serving of AI models for inference from any source through the familiar approach of containers. It allows engineers to use container-centric development patterns and benefits to extend to AI use cases.RamaLama eliminates the need to configure the host system by instead pulling a container image specific to the GPUs discovered on the host system, and allowing you to work with various models and platforms.
Eliminates the complexity for users to configure the host system for AI.
Detects and pulls an accelerated container image specific to the GPUs on the host system, handling dependencies and hardware optimization.
RamaLama supports multiple AI model registries, including OCI Container Registries.
Models are treated similarly to how Podman and Docker treat container images.
Use common container commands to work with AI models.
Run AI models securely in rootless containers, isolating the model from the underlying host.
Keep data secure by defaulting to no network access and removing all temporary data on application exits.
Interact with models via REST API or as a chatbot.
