PIPO introduces a fine-grained pipeline approach that dramatically improves inference efficiency of large language models on consumer-grade hardware by optimizing memory management and GPU utilization.

• Addresses the key challenge of running memory-intensive LLMs on devices with limited GPU resources
• Implements a novel pipelined offloading strategy that significantly improves GPU utilization
• Achieves up to 2.2× throughput compared to existing offloading techniques
• Enables practical deployment of powerful language models on affordable consumer hardware

This engineering breakthrough makes advanced AI capabilities more accessible by optimizing computational resources, potentially democratizing access to high-performance language models without requiring specialized hardware.

PIPO: Pipelined Offloading for Efficient Inference on Consumer Devices