H3C UniPoD S80000 AI Supercluster Enterprise Network Storage Server GPU Liquid Cooling For LLM Training

• Breaks the interconnection limit of traditional 8-card AI servers, supporting flexible deployment of 32–1024 H200/B300 GPUs per cluster, with maximum elastic expansion up to 16384 cards to meet ultra-large-scale AI computing demands.
• Adopts full NVLink interconnection architecture, boosting intra-cluster bandwidth 8 times higher than traditional solutions, effectively eliminating network congestion during large model parallel training.
• Ultra-high-density cabinet design integrates the computing power of 8 sets of traditional 8-card GPU servers in one cabinet, saving massive data center rack space and overall deployment costs.

• Solves the industry common point of low GPU utilization (below 60%) caused by mismatched network, storage and scheduling resources in ordinary GPU clusters.
• Equipped with H3C self-developed intelligent scheduling algorithm and full-stack optimized architecture, realizing deep synergy of computing, network, storage and cloud resources.
• Raises overall GPU resource utilization up to 82%, improves large model training performance by 70%, and triples AI inference efficiency, greatly reducing per-Token computing costs and improving cluster investment ROI.

• Adopts full-scenario liquid cooling heat dissipation solution, covering core heat sources such as GPUs, CPUs and memory modules with 75%-80% cooling coverage rate.
• Superior to traditional air-cooled servers, it drastically reduces operating noise and energy consumption, lowers PUE to an ultra-low level, and supports a single cabinet maximum power load of 120KW.
• Stably adapts to long-term, high-load, uninterrupted trillion-parameter model training tasks, avoiding performance attenuation and equipment failure caused by high-temperature overheating.

• Features open decoupling and standardized modular architecture, fully compatible with mainstream heterogeneous computing devices such as multi-brand CPUs, GPUs and NPUs, supporting seamless iteration of next-generation AI acceleration cards.
• Comes with blind pluggable design for water, power and network buses, supporting one-click rapid deployment and convenient daily maintenance.
• Integrated full-process AI computing tool chain covers hardware deployment to model optimization, greatly lowering the technical threshold for enterprises to deploy large-scale AI businesses.

• Trillion-parameter LLM training and inference
• Ultra-large-scale generative AI mass computing
• High-end scientific research and HPC computing
• Industrial AI large model customization and iteration
• National-level AI supercomputing center construction
• Ultra-large cloud AI infrastructure deployment

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