Artificial Intelligence

A training hub for trillion-parameter models, supporting core components such as large-model distributed clusters, edge inference boxes, automatic computing units, robot decision-making systems, and semantic analysis acceleration cards.

Hardware Solution

• Computing Core: 128 NVIDIA H100 GPUs urgently allocated (with a memory bandwidth of 3.35 TB/s).

• High-Speed Interconnection: Equipped with NVLink 4.0 to achieve 900 GB/s inter-GPU interconnection.

• Storage Acceleration: Paired with Micron DDR5 6400 memory (latency of 69 ns) + Kioxia PCIe 5.0 SSD (read speed of 32 GB/s).

• Supply Chain Assurance: Dual-warehouse linkage between Shenzhen and Hong Kong, completing chip sorting → liquid cooling modification → pressure testing → delivery and racking within 72 hours.

Key Term Explanations

1.  (Training Hub for Trillion-Parameter Models): A core computing platform dedicated to training large AI models with trillion-scale parameters. The term "training hub" emphasizes its central role in the model training process, while "trillion-parameter models" clearly specifies the target of its support, aligning with AI industry terminology.

2. NVLink 4.0: A high-speed interconnect technology developed by NVIDIA for direct data transmission between GPUs. The version number "4.0" and brand-specific term "NVLink" are retained in their original form to ensure accuracy, as they are industry-recognized technical designations.

3.  (Liquid Cooling Modification): A hardware modification process that replaces or supplements traditional air cooling with liquid cooling systems to enhance heat dissipation for high-performance components like GPUs. This translation accurately reflects the technical nature of the modification while remaining concise.