Moore Threads · Supernode / Cluster
MTT KUAE
MTT KUAE is Moore Threads' full-stack solution for AI data centers, built on the MTT S5000 GPU and the dual-processor 8-GPU server MTT SGX5000. This integrated solution addresses the construction and operation of large-scale GPU computing power, comprising the compute-cluster infrastructure, the KUAE Platform for cluster management, and the KUAE ModelStudio for model services.
Key Highlights
- Quick deployment: cluster built in 30 days
- best-practice optimization across compute, storage and networking
- ready-to-use complete tooling and software stack
- high performance for trillion-parameter distributed training. Core components: KUAE Platform (Kubernetes cluster management with training insights, 3D parallelism visualization and slow-node localization), ModelStudio, KUAE Training Suite and KUAE Inference Suite (including the MT Transformer inference engine).
Technical Specifications
| 定位/Positioning | full-stack AI data-center solution (软硬件一体/integrated hardware+software) |
|---|---|
| 硬件底座/Hardware Base | MTT S5000 GPU + SGX5000 8-GPU server |
| 软件组件/Software | KUAE Platform, ModelStudio, Training Suite, Inference Suite |
| 交付周期/Delivery | cluster in ~30 days |
| Nodes, card count & cluster compute | 官网未公开量化值 (Not published) |
Typical Use Cases
Large-scale AI data centers for internet, telecom and financedistributed training and inference of trillion-parameter modelsintegrated build, scheduling, O&M and model-service delivery for GPU clusters.
英文取自官网英文页正文（解析文本曾漏抽，已从原始 HTML 提取）；官网未公开集群节点/卡数/整机算力等量化指标；图片采用官网 related/KUAE.jpg 机柜集群渲染（KUAE 目录 cover.jpg 为机房走廊氛围图、无产品主体，故未采用）。
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