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Introduction

RamaLama strives to make working with AI simple, straightforward, and familiar by using OCI containers.

Description​

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.

Contributors​

Open to contributors