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Data management Web platform SMore LrMo
trainingdevelopmentreal-time

Data management Web platform - SMore LrMo - SmartMoreInside - training / development / real-time
Data management Web platform - SMore LrMo - SmartMoreInside - training / development / real-time
Data management Web platform - SMore LrMo - SmartMoreInside - training / development / real-time - image - 2
Data management Web platform - SMore LrMo - SmartMoreInside - training / development / real-time - image - 3
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Data management Web platform - SMore LrMo - SmartMoreInside - training / development / real-time - image - 5
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Characteristics

Function
training, data management, development
Other characteristics
real-time

Description

Product Overview
A comprehensive enterprise AI development and application platform delivering AI services across software layers, algorithm frameworks and infrastructure. The platform supports the full AI lifecycle, including intelligent algorithm dispatch management, data annotation and analysis, model code development and debugging, model training and tuning, model management and model inference, enabling organizations to lower barriers to AI adoption and accelerate deployment.

Key Features
  • Flexible development and training environment
    Optimized environment setup and resource management tailored for model construction, fine‑tuning and production deployment.
  • End‑to‑end model service and deployment
    Efficient model packaging, deployment and lifecycle control to ensure reliable production inference.
  • Multi‑heterogeneous GPU cluster management
    Unified management and flexible scheduling of diverse GPU resources to improve utilization.


Supported Industries / Use Cases
  • Automotive
  • Electronics
  • Precision optics


Technical specifications
  • Platform type: Enterprise AI development and application platform
  • Capabilities: AI services across software layers, algorithm frameworks and infrastructure
  • Supported scenarios: algorithm dispatch management, data annotation and analysis, model code development and debugging, model training and tuning, model management, model inference
  • Benefits: reduces AI development barriers, improves deployment efficiency, accelerates AI progress
  • Computing management: multi‑heterogeneous GPU cluster invocation, unified management and flexible scheduling

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