Flexible H100 GPU Computing

Ubilink provides customized GPU computing solutions based on each customer’s workload, required capacity, and usage period. The standard allocation unit is one GPU server node equipped with eight NVIDIA H100 GPUs（H100 × 8）, with hourly billing available.

Higher-performance storage configurations are also available. Pricing is determined by the required storage capacity, performance level, and usage duration.

High-Performance Computing

Ubilink’s high-performance computing（HPC）environment uses NVIDIA Unified Fabric Manager（UFM） to monitor and manage the InfiniBand network fabric, including network traffic and topology.

Separate high-speed networks are used for compute and storage traffic to improve data-transfer efficiency. A non-blocking network design helps reduce communication bottlenecks, while a High Availability（HA）architecture improves service continuity and system stability for demanding AI and HPC workloads.

AI Computing Node Specifications

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Large-Scale File System Specifications

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AI Model Training

Accelerate AI Development with a High-Performance Training Platform

Ubilink provides GPU computing resources for AI model training, fine-tuning, and other data-intensive workloads. Flexible resource allocation enables enterprises and research teams to select computing capacity according to model size, project duration, and performance requirements.

Enterprise Computing Infrastructure

Build a Dedicated Computing Foundation for Enterprise AI

Building AI computing infrastructure requires more than purchasing servers. Enterprises must also consider workload requirements, network architecture, storage performance, scalability, security, and ongoing system management.

We provide end-to-end computing infrastructure services covering requirements assessment, architecture planning, system deployment, integration, and ongoing maintenance. Each solution is designed around the customer’s AI workloads, business objectives, and deployment environment.