The Nanyan Cloud-Intelligent Research Demonstration Platform (iPKU Cloud Lab) at Peking University Shenzhen Graduate School is a cutting-edge science and education platform built for the new paradigm of AI4S. Officially completed in 2025, it is opened in phases. Adhering to the core philosophy of "AI-Driven, Wet-Dry Closed Loops, Full-Chain Intelligence," the platform deeply integrates three key elements: "computing power, intelligent computing, and experimental facilities." Relying on top-tier teams in AI For Life Science and AI For Materials Chemistry, it 打造 s an AI-empowered integrated cloud platform for "research-teaching" in fields such as life sciences and materials chemistry. It is committed to nurturing a cohort of future AI4S talents and driving innovation in research paradigms.

As the world’s first fully intelligent high-throughput synthetic biology science and education cloud platform, it highly integrates functional modules such as high-throughput automated synthetic biology experimental systems, in-house high-performance computing clusters, the world’s first self-developed vertical intelligent reasoning model for biological experiment design, intelligent agent development and evaluation, and multimodal domain databases, all deployed in a cloud-based manner. It will build a dual-engine system of "intelligent hardware + AI core":

Through orbital robotic arms integrating equipment for pipetting, culturing, testing, and storage, it realizes full-process experimental automation in synthetic biology research, from intelligent sample access, DNA component assembly, cell screening and culture to product detection. It supports the efficient construction of over 3,000 samples per week, serving research areas such as gene circuit design and construction, artificial gene design and synthesis, cell factory design and construction, multicellular system construction and application, enzyme molecular directed evolution, cell-free protein synthesis, molecular synthesis and screening, and biomaterial creation.

Through a self-developed AI-driven cloud platform integrating intelligent models and resource management modules covering the entire process from experimental design to analysis, it supports automatic generation of experimental protocols, intelligent matching of reagents and equipment, and autonomous data optimization. It delivers a cloud-based research experience where "instruction equals execution." Meanwhile, through continuously iterating and innovating decision-making and reasoning capabilities, the system accelerates the iteration cycle of experimental design-execution-optimization.

iPKULS Cloud Lab, with its integrated hardware-software and intelligent decision-making technology system, breaks through traditional research models and offers the following differentiated advantages:

Through deep coupling of automated hardware and AI cloud-based systems, iPKULS Cloud Lab connects the full chain of "computational design - experimental verification - data iteration." Driven by wet-dry closed loops, it enables precise design, synthesis, and regulation of life systems, accelerates the innovation of life science research paradigms, and provides full-stack empowerment for scientific research innovation and industrial transformation in fields such as synthetic biology and biomanufacturing.