Pruna is an open-source, self-hostable AI inference engine designed to help teams deploy and manage large language models (LLMs) efficiently across private or hybrid infrastructures. Built with performance and developer ergonomics in mind, Pruna simplifies inference workflows by enabling multi-model orchestration, autoscaling, GPU resource allocation, and compatibility with popular open-source models. It is ideal for companies or teams looking to reduce reliance on external APIs while maintaining speed, cost-efficiency, and full control over their data and AI stack. With a focus on extensibility and observability, Pruna empowers engineers to scale LLM applications from prototype to production securely and reliably.
Features
- Self-hosted engine for managing LLM inference
- Supports multi-model orchestration and routing
- Dynamic autoscaling for resource optimization
- GPU-aware scheduling and load balancing
- Compatible with open-source models like LLaMA and Mistral
- HTTP and gRPC APIs for easy integration
- Built-in observability and performance tracking
- Deployment-ready with Docker and Kubernetes support
Project Samples
