JD Cloud Plans 100,000-GPU AI Cluster
💡A planned 100,000-GPU cluster could materially change China’s available capacity for large-model workloads.
⚡ 30-Second TL;DR
What Changed
The planned cluster will use 100,000 general-purpose GPUs.
Why It Matters
If delivered, the project would create a major domestic computing pool for Chinese AI developers and enterprises. Its scale could increase access to training and inference capacity while expanding the role of Moore Threads in China’s AI infrastructure ecosystem.
What To Do Next
Contact JD Cloud for access requirements and benchmark availability, then test a representative training or inference workload on Moore Threads hardware.
Key Points
- •The planned cluster will use 100,000 general-purpose GPUs.
- •Moore Threads will supply the GPUs for JD Cloud’s infrastructure.
- •Use cases include large-model training, inference, and embodied AI.
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Original source: TechNode ↗
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