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Therefore, the VPC network model applies to scenarios that have high requirements on performance, such as AI computing and big data computing.
Therefore, the VPC network model applies to scenarios that have high requirements on performance, such as AI computing and big data computing.
The CCE AI Suite (NVIDIA GPU) add-on has been installed in the cluster and its version is 2.1.30, 2.7.46, or later. For details about how to install the add-on, see CCE AI Suite (NVIDIA GPU).
It accesses the computing frameworks for various industries such as AI, big data, gene, and rendering and schedules up to 1000 pods per second for end users, greatly improving scheduling efficiency and resource utilization.
AI-accelerated ECSs are classified as kAi series and Ai series ECSs. kAi series: Arm ECSs, which use Kunpeng 920 processors AI series: x86 ECSs, which use Intel Xeon processors Table 40 AI-accelerated ECS features ECS Type Compute Network Supported Cluster Type kAi1s vCPU-to-memory
VPC network: applies to small clusters (with 1000 nodes or fewer) and scenarios that demand high performance such as AI and big data computing. For more details about their differences, see Overview.
