H3C UniServer R5350 G6

Compared with the previous generation, the specifications of CPU and GPU have significantly improved, and the product has excellent performance and weight

With the characteristics of plastic architecture, strong scalability and high reliability, it can be applied to deep learning model training, deep learning reasoning,

High-performance computing, data analysis and other application scenarios, easy to manage and deploy, compute and storage integrated design, so that it is successful

For the intelligent era of hybrid computing power engine.

The H3C UniServer R5350 G6 can support multiple types of AI acceleration cards to cope with different AI scenarios

Demand for heterogeneous computing power. The CPU and GPU mount ratio can support 1:4, 1:8, and can support a variety of pass-through

Topology configuration, users can configure/flexibly (or one-click) switch based on the application model, and support rich AI

Acceleration cards and intelligent network cards to adapt to the needs of different AI scenarios