CUDA Compute Pool Management
Treats GPUs across different servers as a unified compute pool, dynamically scheduling resources to avoid single-node bottlenecks.
AI Vision × ViDA.ai Containerized Platform
MVSS
AI Metagraph Vision Service Solution
Orchestrates video AI, event semantics, and containerized compute into a scalable vision service architecture that supports cross-site deployment, cross-system integration, and decision workflows.
Perception-layer Vision AI
Translate live video into structured event semantics
Recognition Server
Fault Tolerance and Dynamic Load Allocation
VIDAWARE includes an active monitoring mechanism for the Management Server. When a Recognition Server fails or a camera analysis workload becomes overloaded, the system automatically triggers migration strategies.
Automatic Fault-tolerant Allocation Logic
The management server automatically takes over container instances from failed nodes and assigns video analytics tasks to healthy hardware clusters.
Dynamic Load Balancing
The system routes new tasks intelligently according to remaining GPU capacity on each server, preventing local hotspots.
Management Service SVR
RECOGNITION A
RECOGNITION B
RECOGNITION C
Failover
AI × VIDAWARE Containerized Service Advantages
Breaks the limitations of traditional single-machine deployments by fully decoupling recognition functions from computing resources.
Modular Application Services
AI algorithms are deployed as containers, enabling independent upgrades and hot-swappable modules without interrupting system operations.
Compute-point Operating Model
Supports pricing by token or compute usage, allowing customers to pay only for actual AI computing resources consumed.
Load Balancing
When a host fails, automatic failover and reassignment keep AI services continuously online.
AI Compute Scheduling and Fault-tolerance Simulation
Management Server (Primary)
Management Server (Standby)
Server A Node
READY
Vehicle Features
License Plate Recognition
Behavior Recognition
10%
GPU: RTX 4070Ti
Tasks: 4
Tasks: 4
Server B Node
READY
Behavior Recognition
Human Features
20%
GPU: PRO 6000
Tasks: 3
Tasks: 3
Server C Node
READY
License Plate Recognition
10%
GPU: PRO 6000
Tasks: 5
Tasks: 5
Server D Node
System Fault
0%
GPU: RTX 5090
FAULT
FAULT
Server E Node
READY
License Plate Recognition
Human Features
10%
GPU: RTX 5070Ti
Tasks: 2
Tasks: 2
Server F Node
READY
Human Features
Behavior Recognition
20%
GPU: RTX 5090
Tasks: 4
Tasks: 4
Active Containers22
Cluster Health82%
Average Load (GPU)64%
Total Available Compute2.4 PetaFLOPS
AI Algorithm Module Marketplace
Modular AI Services × Real-Time Computing Scheduling × Flexible Billing
Face Recognition Module
High-precision face feature vector extraction and real-time comparison engine. Supports blacklist, whitelist, and cross-domain identity recognition. Suitable for access control, public safety, and smart building applications.
License Plate Recognition Module
24/7 high-speed license plate recognition core. Supports multi-country plate formats, character structure analysis, and vehicle color attribute analysis. Suitable for smart parking, traffic management, and law enforcement scenarios.
Fall Behavior Detection
Combines pose tracking and dynamic behavior analysis models to identify falls, abnormal postures, and long-duration stationary events in real time. Widely applicable to healthcare, long-term care facilities, and workplace safety monitoring.
General Object Detection
High-performance multi-class object recognition engine. Supports real-time recognition and tracking of more than 80 common object categories, enabling area analysis, behavior correlation, and event triggering.
CoreSmart AIoT solution update
Based on VIDAWARE containerization technology, ensuring AI services remain always online.
Host Expansion Mechanism
When computing power is insufficient, the management server automatically starts a new node, completes initialization, and takes over AI tasks immediately.
Host Expansion Mechanism
Fault Tolerance and Disaster Recovery Mechanism
When the recognition server encounters an abnormal condition, AI tasks continue to run on healthy nodes without interrupting monitoring and inference services.
Fault Tolerance and Disaster Recovery Mechanism
Load Balancing Mechanism
The management server dynamically allocates computing power based on the GPU load of each AI task, ensuring maximum performance efficiency.
Load Balancing Mechanism
Real-Time Video Gateway & Event Intelligence Bus (demo)
Vida.ai × Smart City Governance