Large Model Platform

Large Model Platform

Unified operation and maintenance management platform, large-model MaaS platform, and data element processing platform
Business Consulting

Product Overview

Provides one-stop support for the entire lifecycle of AI and large-model training and inference, offering efficient development tools to lower AI adoption barriers for both data scientists and business users.

Low-threshold data processing tools are also provided, supporting all data types and enabling “data usable but not visible” to ensure security and privacy.

Core Advantages

01

Data Processing

Covers data resource management (upload, validation, storage), experimental modules (code-based or drag-and-drop workflows), and production tasks (workflow review, batch processing).

02

Product Output

Supports offline data package generation, AI service (AIP) creation via API deployment, and data element product marketplaces.

03

Model Integration

Includes model libraries (official and third-party authorized models) and “data usable but not visible” isolation mechanisms.

04

Development Tools

Provides online IDEs, multimodal data annotation, and distributed training (PyTorch support, custom images).

05

Model Management

Covers full model lifecycle management, large-model fine-tuning, and inference optimization (quantized deployment, API publishing).

06

Auxiliary Capabilities

Includes training visualization (TensorBoard integration), workflow orchestration, and image/container management.

Solution Architecture

Enterprise Large-Model Training Platform ServicesCustomized training environments and data storage for enterprises and research institutions.
AI Inference Cluster ServicesLow-latency, high-concurrency inference clusters supporting multi-industry applications.
MaaS (Model as a Service)One-click access to training and inference services for diverse industry scenarios.
Data Element Processing ServicesIntelligent data cleansing, annotation, desensitization, transformation, and enhancement.

 

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