U-CAN Computing Power Scheduling Platform
The u-can computing power scheduling platform is designed for all-domain computing power resource supervision scenarios. It provides unified scheduling, monitoring, and optimization capabilities for computing power resources, supports intelligent scheduling strategies, improves computing power resource utilization, reduces operating costs, and facilitates collaboration in the regional computing power industry.
Core function
Provide stable, efficient, and secure functional capabilities around core business processes to help enterprises quickly complete product landing and continuous operation.
computing power resource management
Unified access of GPU,CPU,NPU and other multi-source heterogeneous computing power to the platform, realizing centralized management and global view presentation of cross-regional and cross-vendor computing power resources.
intelligent scheduling optimization
Based on real-time load and business requirements, automatically optimize scheduling strategies through AI algorithms, dynamically allocate computing power resources, and significantly improve the overall utilization rate of computing power resources.
computing power resource monitoring
Real-time monitoring of the usage status, load conditions, and health of various computing power resources, automatic alarms for anomalies, and real-time data support for resource scheduling decisions.
computing power performance analysis
Deeply analyze multi-dimensional data such as energy utilization rate and task cost, and output performance reports to assist operators in optimizing resource allocation and cost control.
Product architecture
Carry core capabilities with modular architecture, taking into account system stability, elastic expansion, and multi-scenario integration requirements.
Product highlights
Focus on performance, security, ease of use, and scalability, continuously enhancing the comprehensive value of the product in complex business scenarios.
Global scheduling
Unified scheduling of cross-regional and cross-type computing power resources, achieving a global view and centralized control of computing power resources, and supporting the coordinated development of regional computing power industries.
Intelligent optimization
Automatically optimize scheduling strategies based on AI algorithms, dynamically allocate resources in combination with real-time load and business requirements, and significantly improve the utilization rate of computing power resources.
Reduce costs
Reduce computing power idleness and resource waste through intelligent scheduling, and effectively reduce the total operating cost of computing power resources by combining performance analysis and cost control capabilities.
Open collaboration
Open standard API interface service, supporting flexible scheduling capabilities for upper-level applications, empowering the computing power industry ecosystem, and helping to promote the efficient circulation and collaborative development of computing power resources.
Application scenario
Suitable for various business and industry scenarios, helping organizations quickly build replicable and scalable digital application capabilities.
Unified scheduling of regional computing power centers
Facing provincial or regional computing power scheduling centers, the platform centrally manages the heterogeneous computing power resources (GPU / CPU / NPU) of multiple data centers and cloud manufacturers within the region, optimizes scheduling strategies through AI algorithms, and improves the utilization rate of computing power to a higher level, supporting regional collaboration of the 'East Data West Compute' project.
Resource management and operation of intelligent computing centers
Towards the operation and management of AI intelligent computing centers, the platform provides full-process capabilities such as access to computing resources, intelligent scheduling, performance analysis, and billing management, supporting various scheduling strategies such as priority, quota, and reservation, and realizing fine-grained operation and commercialized services for computing resources.
Cross-domain collaboration in multi-data centers
Towards large enterprises or cloud service providers with multiple data centers, the platform performs cross-regional and cross-type computing power unified scheduling, achieving load balancing and elastic scaling, and reducing the overall idle rate of computing power.
Computing power trading and industrial collaboration platform
For the scenario of computing power supply and demand trading, the platform opens API interface services, and the upper-level applications can call the scheduling capabilities to build a computing power trading market, realizing computing power resources to be "purchased on demand and paid for by quantity" like electricity.