Background of the solution:
With the rapid development of artificial intelligence and computer science, the demand for computing power is increasing. Traditional CPU computing can no longer meet the processing needs of certain complex problems, especially in fields such as AI and large models, design and simulation, and autonomous driving. These fields require processing large-scale data and performing high-precision simulations and calculations.
Solution features:
Deploy GPU server equipment according to customer needs and build an integrated computing platform through efficient networking.
1) GPU Server Deployment: High-performance 8-GPU servers serve as the core computing nodes, paired with NVIDIA high-performance computing accelerator cards.
2) Building an IB network: Employing high-bandwidth, low-latency network technology to reduce transmission latency and improve computing efficiency.
3) Build an integrated computing power platform: Integrate computing power resources, realize centralized management and dynamic allocation of computing power resources through a scheduling and management platform, and provide elastic computing power services to the outside world.
Solution Architecture:
