GPU Computing
High-performance GPU resources for large-scale parallel computing, graphics rendering and complex data processing.
GPU Computing Infrastructure
We bring together data centers, compute nodes and distributed resources to build efficient, reliable and scalable infrastructure for GPU and AI workloads. From model training and inference to diverse digital applications, we support enterprise transformation and the growth of digital ecosystems.
AI Computing
Flexible, efficient computing for AI model training, inference and deployment, accelerating real-world AI adoption.
Data Centers
Reliable data centers combining computing, storage and networking to keep digital businesses running.
Compute Nodes
Regionally deployed compute nodes provide local access and flexible resource allocation for faster service delivery.
Distributed Computing
Connected compute nodes across regions enable resource sharing and on-demand scaling through coordinated scheduling.
GPU Computing Ecosystem
AI
High-performance GPUs support AI training and inference, accelerating the development and deployment of intelligent applications.
Data
Connecting diverse data sources and computing resources for efficient processing, analysis, model optimization and business innovation.
Computing
Distributed GPU resources with dynamic scheduling and elastic scaling to meet the demands of different workloads.
Web3
Infrastructure for decentralized applications and distributed computing, connecting compute resources with the Web3 ecosystem.
Global Network
Connecting compute nodes worldwide to enable collaboration across regions and an interconnected computing services network.