Important Information about Generative Large Language Models (LLMs)
Generative Large Language Models (LLMs) are a powerful tool for many tasks, but they require a lot of memory and a high-performance GPU. Recently, researchers developed PowerInfer, an efficient LLM inference system for local deployments using a single consumer-grade GPU. This system reduces memory requirements and increases performance.
Why PowerInfer is Effective
The PowerInfer system is designed to take advantage of the high locality in LLM inference, meaning that many of the neurons in the model are either always active or rarely active. By optimizing the distribution of this workload between the CPU and GPU, PowerInfer reduces memory requirements and data transfers, resulting in faster performance.
The team behind PowerInfer evaluated its performance and found that it can generate around 13 to 29 tokens per second using a single NVIDIA RTX 4090 GPU. This is almost as good as using a top-of-the-line server-grade A100 GPU, showing that PowerInfer is very effective even on mainstream hardware.
Potential for Desktop PCs
PowerInfer can run up to 11.69 times faster than existing systems while retaining model fidelity. This means that it offers a significant performance boost for running advanced language models on desktop PCs with limited GPU capabilities.
For more information about PowerInfer, you can check out the research paper and code on Github. If you’re interested in AI research and projects, you can also join the related ML SubReddit, Facebook Community, Discord Channel, and Email Newsletter.