Intelligent Computing Center Management System:
1. Computing Resource Management
o Heterogeneous resource pooling (CPU, GPU, DPU, FPGA, TPU, etc.)
o Task scheduling (load balancing, reserved computing power, preemptive scheduling)
o Resource monitoring (computing, storage, network utilization)
o Elastic scaling (on-demand resource allocation)
o Computing virtualization (e.g., NVIDIA MIG, GPU passthrough)
2. User and Tenant Management
o Multi-tenant management (enterprises, research institutions, developers sharing computing resources)
o User authentication (LDAP, OAuth, RBAC access control)
o Billing and invoicing (supports pay-as-you-go and reserved computing power)
3. Task Scheduling and Optimization
o Supports multiple task types:
§ AI training
§ HPC simulation
§ Big data analysis
§ Low-latency inference tasks
o Intelligent scheduling strategies:
§ Task priority management
§ Load balancing
§ Resource fragmentation optimization
4. Storage and Data Management
o Distributed storage support
o High-speed data transfer
o Data access control and security
5. Energy and Temperature Control Management
o Dynamic power adjustment (reducing idle resource power consumption)
o Air + liquid cooling intelligent control (optimizing data center PUE)
o Carbon emission monitoring (supporting green computing)
