RamaLama

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.