Ollama Operator Neko

Ollama Operator is a Kubernetes operator designed to simplify the deployment and management of large language models at scale. It enables users to run multiple models efficiently on a single cluster with minimal resource overhead and configuration complexity.

Key Features:

• Kubernetes Integration: Install the operator directly on your Kubernetes cluster using winget, enabling seamless integration with existing infrastructure.
• CRD Support: Utilize custom resource definitions (CRDs) for fine-grained control over model parameters and configurations.
• Leverage lama.cpp: Eliminate compatibility issues related to Python environments or CUDA drivers through native support for lama.cpp.
• OpenAI API Compatibility: Access familiar endpoints for consistent integration with existing applications, ensuring no code changes are needed.
• Langchain Ready: Seamlessly integrate with Langchain's ecosystem for advanced capabilities like function calling and knowledge base retrieval.

Audience & Benefits: Ideal for data scientists, AI engineers, and DevOps teams, Ollama Operator provides a scalable and efficient solution for deploying large language models. Users benefit from simplified operations, reduced infrastructure costs, and enhanced flexibility to deploy models across various Kubernetes environments, whether on-premises or in the cloud.

With Ollama Operator, organizations can harness the power of large language models with ease, enabling rapid experimentation and deployment while maintaining operational efficiency.