JD Cloud, Moore Threads to Build 100,000-GPU AI Cluster as China Pushes Domestic Chips
Updated
Updated · Global Times · Sep 9
JD Cloud, Moore Threads to Build 100,000-GPU AI Cluster as China Pushes Domestic Chips
3 articles · Updated · Global Times · Sep 9
Summary
Moore Threads said the project will mark the first use of domestically developed GPUs in a 100,000-card core cluster at a leading Chinese AI cloud provider, moving homegrown AI computing toward broader commercial deployment.
The cluster will use Moore Threads' Universal GPUs and support large-model training, inference and embodied-intelligence workloads, with JD Cloud opening the computing capacity to companies across industries.
JD Cloud said the partnership will span chips, cloud platforms and model training, aiming to speed development of its JoyAI models and build a pipeline from data and training to simulation and deployment.
China's policy backdrop has turned more supportive: MIIT this week called for orderly deployment of intelligent-computing clusters with 10,000, 100,000 or more accelerator cards and better adaptation to domestic chips.