Compute Power Management Platform
Industry Pain Points
-
Significant Heterogeneity of Computing Resources
With the advancement of digitalization, government and enterprise computing environments have become increasingly complex. Multiple platforms coexist-including physical servers, cloud computing, hyper-converged infrastructure, and container clouds. Within each platform, computing servers come from different vendors with varying models, resulting in substantial performance and architectural differences that create a fragmented computing landscape. -
High Difficulty in Unified Management
Computing resources across different vendors and platforms lack unified standards and interfaces. Traditional management tools struggle to adapt to diverse equipment, making it difficult to establish a global management perspective. This poses significant challenges for unified access, configuration, and maintenance of computing resources across the industry. -
Obstacles in Intelligent Scheduling Implementation
Due to the complex characteristics of computing resources and the absence of effective scheduling mechanisms, issues such as uneven resource allocation and low task execution efficiency frequently occur. This prevents dynamic optimization and efficient utilization of computing resources.
Solution Overview
Compute Power Management Platform
SenseTime's Compute Management Platform.
Leveraging Docker container cloud technology, the platform enables unified management, monitoring, and scheduling of diverse computing resources across different vendors, instruction sets, and hardware models. It dynamically allocates and reallocates computing resources based on elastic business demands, delivering three key benefits:
• Investment Protection - Preserves customer capital expenditure
• Resource Sharing - Enables shared utilization of compute resources
• Efficiency Optimization - Improves resource utilization rates and capital efficiency
Solution Highlights
Application Value
-
Shared AI Resources
Eliminates redundant construction. Enables centralized sharing and unified evolution of AI capabilities. -
Resource Optimization
Implements intelligent allocation of computing resources. Ensures maximum utilization efficiency of computational power. -
Lowered Technical Barriers
Provides plug-and-play AI capabilities for government applications. Stimulates organizational innovation vitality. -
Optimized Investment
Delivers unified technological development through centralized AI platform. Maximizes return on investment through economies of scale.
