ModelOps Platform

GTraining Industrial Model Training Platform

End-to-end coverage of data, annotation, training, evaluation, export, and inference deployment — helping enterprises and ISVs build a sustainable industrial algorithm production line.

60%+

Reduction in Model Dev Cycle

5-8x

Annotation Efficiency Gain

20+

Mainstream Model Architectures

30+

Industrial Annotation Tools

Product Positioning

The Model Production Line for Industrial AI Development

GTraining is not a single-point training tool — it is an industrial model training and inference platform that organizes datasets, annotation, training, evaluation, versioning, publishing, and inference deployment into a single unified workflow. Enterprises can accumulate sample assets and reuse algorithm experience in a private environment, then stably release models to field systems.

Data Security

Supports private deployment — data and models remain in the enterprise's controlled environment.

Continuous Evolution

Field sample feedback drives continuous model version optimization.

Workflow

A Closed-Loop Process from Samples to the Field

The platform organizes capabilities around the real delivery chain of industrial AI projects, turning model development, deployment, and performance review into a manageable, standardized workflow.

Data Ingestion

Unified collection of on-site images, video frames, and historical samples

Smart Annotation

Assisted labeling, multi-user collaboration, quality review and version management

Model Training

Detection, classification, segmentation training with automatic hyperparameter tuning

Evaluation & Release

Precision, recall, false-positive/negative analysis and version selection

Inference & Deploy

Model export, edge push, and continuous field feedback loop

Core Capabilities

Core Features

The key is showing customers how the platform brings real model training results into the industrial field — not just listing parameters.

Model Training

A visual training workflow designed for industrial vision scenarios, supporting detection, classification, and segmentation tasks to reduce collaboration costs between algorithm and business teams.

One-click training job creation
Auto hyperparameter tuning & transfer learning
Multi-GPU / multi-node training
Parallel detection, segmentation, and classification tasks

Model Evaluation

Manage model performance in real business contexts, helping customers select deployable, explainable, and auditable model versions from multiple candidates.

Precision, recall, and metric evaluation
Sample result and false-positive/negative analysis
Model version comparison
Auto-generated evaluation reports

Model Export

Convert trained models into edge-deployable formats, forming a unified pipeline with GSmart Edge, AI camera modules, and inference platforms.

ONNX / TensorRT export
Edge lightweight optimization
Unified model version management
Connected to inference-side model library

Model Deployment

Supports server, edge terminal, and private environment deployment — bringing models from the lab to the industrial floor quickly.

Synchronized publish from training platform
Local server deployment
Batch edge device push
Canary release and rollback

Strategy & Inference

Organize model capabilities into on-site executable recognition, alerting, traceability, and analytics tasks.

Video stream / image real-time inference
Detection, recognition, tracking task config
Alerting and event traceability
Statistics dashboard and performance review

Multi-Dimensional Compatibility

Compatible with mainstream deep learning frameworks and diverse hardware environments, adapting to existing compute infrastructure and field deployment conditions.

Compatible with PyTorch / TensorFlow
Supports GPU / CPU / edge computing
Private deployment
Adapts to multi-industry hardware environments

For Whom

For Organizations Building Their Own AI Capabilities

The value of GTraining is not completing a one-time model development for customers — it is helping customers and partners build reusable, scalable, and auditable algorithm production capabilities.

Large Industrial Enterprises

Build a group-level algorithm asset and model management system, reduce redundant development, and ensure data and model security.

Industry ISVs / Integrators

Rapidly train dedicated models based on customer field samples, shorten project delivery cycles, and improve solution replication capability.

Research Institutes & Universities

Used for algorithm validation, experiment management, model comparison, and technology transfer, supporting standardized research workflows.

Intelligent Hardware Partners

Provides model training, compression, export, and edge deployment capabilities for cameras, edge terminals, and industry devices.

Application Scenarios

Suited for industrial vision projects requiring continuous training, rapid customization, and multi-endpoint deployment — especially for customers with many long-tail scenarios and large field variability.

Industrial Manufacturing

Train quality inspection and safety algorithms independently

Rapidly build defect detection, foreign object recognition, and personnel violation models from production-line images and on-site video, then deploy to edge or server-side systems.

State-Owned Enterprises

Unified management of privatized AI capabilities

Address algorithm reuse needs across multiple branches, scenarios, and projects through unified data, model, permission, and operations management.

Research Institutions

Model validation and algorithm innovation platform

Supports multi-framework experiments, training job tracking, and model performance comparison to help research teams improve experiment reproducibility and technology transfer efficiency.

Industry ISVs

Rapidly deliver model services to customers

Quickly customize models based on customer samples, and complete industry solution delivery in combination with the GSmart platform, edge terminals, or third-party systems.

Extremely Efficient

Integrated train-infer automation reduces manual handoffs between data, training, and deployment — models reach the field in one step.

Lower Barrier

Low-code / no-code visual operations allow business users to participate in sample management, task configuration, and result validation.

Strong Adaptability

Compatible with multiple hardware, frameworks, and industry templates, fitting equipment inspection, quality control, and safety alerting scenarios.

Related Cases

How Customers Use This Product

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Manufacturing

Leading Manufacturing

GTraining Empowers a Leading Manufacturing SOE to Build an Enterprise AI Platform and Scale Algorithm Capabilities

Powered by the GTraining Industrial Model Training & Inference Platform, a leading manufacturing SOE built an enterprise AI platform that unifies data, model development, and deployment workflows, enabling rapid AI application development and scalable replication across production scenarios.

GTraining Platform + GSmart Perception Platform

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Request a GTraining Platform Demo

We can evaluate a combined GTraining + GSmart + GSmart Edge solution based on your existing samples, algorithm team, deployment environment, and target scenarios.

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