TREE NEWS update: JD Cloud announced plans to build a 100,000-GPU full-featured computing cluster using Moore Threads GPUs, unveiled at the 2026 JD Global Technology Explorer Conference in Beijing on September 9. The cluster will focus on large-model training, inference, and embodied intelligence, offering open computing power to the industry. This marks the first time domestic GPUs enter a top-tier AI cloud provider’s core cluster at this scale, signaling a shift from usable to large-scale commercial deployment.
JD Cloud to build 100k-GPU AI cluster with Moore Threads
This move signals a potential inflection point for domestic GPU adoption, moving beyond pilot projects into core infrastructure at a major cloud provider. The scale of 100k GPUs suggests confidence in Moore Threads' reliability for production workloads, not just testing. It could pressure other cloud providers to diversify their hardware sourcing, especially given supply chain considerations. The open question is whether this cluster will achieve performance parity with established solutions in real-world training and inference tasks, or if it remains a strategic, less efficient alternative. Watch for benchmark results and adoption rates from external developers using the offered computing power.
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