# An Int > An Int is a Shenzhen innovation studio that designs AI infrastructure and builds production AIGC systems for enterprises. The studio designs GPU clusters with Kubernetes, engineers AI platforms for training, fine-tuning, inference, and deployment, and develops LLM applications, agents, and RAG systems. It works with clients worldwide. Site languages: English, Simplified Chinese, Traditional Chinese, and Japanese. ## Pages - [Home](https://anint.site/): What An Int builds, services, FAQ, and contact - [Blog](https://anint.site/blog): Technical articles on AI infrastructure, GPU clusters, and AIGC - [FAQ](https://anint.site/#faq): Direct answers about the studio, services, location, and technical scope - [Contact](https://anint.site/#contact): Project inquiry form ## Services - [GPU Infrastructure](https://anint.site/#core): Scalable GPU clusters and Kubernetes orchestration - [LLM and AIGC Applications](https://anint.site/#core): Fine-tuning, content generation, conversational systems, and agents - [AI Platform Engineering](https://anint.site/#core): Platforms for training, fine-tuning, inference, and deployment - [Cloud Architecture](https://anint.site/#services): High-availability multi-cloud and hybrid infrastructure - [AIGC Development](https://anint.site/#services): LLM-powered products from prototype to production - [Cloud Native](https://anint.site/#services): Containers, microservices, and DevOps - [Security and Compliance](https://anint.site/#services): Cloud security, encryption, and access control - [Data and AI Analytics](https://anint.site/#services): Lakehouse architecture, ML pipelines, and business intelligence - [Technical Consulting](https://anint.site/#services): Digital transformation and AI implementation guidance ## Facts - Name: An Int - Website: https://anint.site/ - Location: Shenzhen, Guangdong, China - Area served: Worldwide - Email: contact@anint.site - Hours: Monday–Friday 09:00–18:00 (Asia/Shanghai) - Languages: English, Simplified Chinese, Traditional Chinese, Japanese ## Optional - [Full summary](https://anint.site/llms-full.txt): Quotable description and FAQ - [Sitemap](https://anint.site/sitemap.xml): Indexable URLs