> For the complete documentation index, see [llms.txt](https://pingo-work.gitbook.io/pingo/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://pingo-work.gitbook.io/pingo/technology/reducing-ai-inference-costs.md).

# Reducing AI Inference Costs

## "Lowering AI inference costs is both a challenge and a priority."

To address the dynamics of meme coin communities and the nature of image dissemination, AI computing power faces a significant challenge: linear growth in users results in exponential growth in AI inference costs. To tackle this issue, PinGo Cloud adopts a distributed cloud approach. 

By leveraging its strong market mobilization capabilities, PinGo will aggregate a large number of mid-to-low-end GPUs (such as RTX 4090) to create a vast distributed GPU computing network. This strategy aims to significantly reduce computing costs while maintaining high performance and scalability.