GMI Cloud Showcases Full-Stack AI Infrastructure at WAIC 2026, Launches Production-Grade Agent Deployment Platform

GMI Cloud, one of seven global Reference Platform NVIDIA Cloud Partners, made a major showing at the 2026 World Artificial Intelligence Conference (WAIC) with a comprehensive product portfolio spanning GPU infrastructure to AI Agent deployment.

The centerpiece of the exhibition was Agentbox, a new end-to-end platform purpose-built for production-grade AI Agent workloads. It provides fully managed virtual machines with dedicated CPU resources, multi-tenant sandboxed runtime environments for security isolation, and access to underlying NVIDIA GB200/GB300 GPU clusters. The platform offers one-click deployment and distribution, a built-in MaaS model library supporting 170+ leading models through a single API key, and full observability with dual-dimension billing (compute + tokens).

GMI Cloud's broader product lineup includes AI Cloud, which delivers GPU cloud services based on GB300, GB200, B200, and H200 chips. The company has already built a 10,000-card AI Factory cluster in Taipei powered by GB300. The Cluster Engine provides cloud-native orchestration for bare metal and container compute, while the Inference Engine integrates over 200 mainstream LLMs for unified access.

On the WAIC main stage, GMI Cloud China President Jiang Jianbiao and Engineering VP Qian Yujing delivered a keynote titled "Global AI Industry Paradigm Innovation," arguing that international competition has shifted from model-level benchmarks to a tripartite contest of inference optimization, agent deployment, and underlying compute infrastructure.

Qian also presented at WAIC's open-mic technical session on "Production-Grade AI Agent Deployment," identifying distributed compute scheduling, lack of runtime isolation and observability, and high multi-model integration costs as the key engineering gaps preventing agents from moving from lab to production.

The company also showcased a joint AI infrastructure solution with DataDirect Networks (DDN) for high-concurrency training and inference workloads, and operated an interactive experience zone where attendees could instantly call over 200 mainstream LLM APIs. Community initiatives included a co-branded event with AGI Bar and a partnership with Zhihu's Creator Map program.