Prima.cpp is a breakthrough distributed inference system that enables running large language models (70B parameters) on common home devices without requiring high-end GPU clusters.

• Leverages a mixed CPU-GPU approach to optimize hardware utilization
• Reduces hardware requirements significantly compared to existing solutions
• Solves key technical challenges in memory management and computation distribution
• Makes frontier LLM technology accessible to everyday users with limited resources

This engineering innovation democratizes access to advanced AI capabilities by removing hardware barriers, potentially expanding the LLM user base and enabling new applications in resource-constrained environments.

PRIMA.CPP: Speeding Up 70B-Scale LLM Inference on Low-Resource Everyday Home Clusters