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Tencent Cloud TI Platform

Product Introduction
Overview
Product Pricing
Benefits to Customers
Use Cases
Purchase Guide
Billing Overview
Purchase Mode
Renewal Instructions
Overdue Payment Instructions
Security Compliance
Data Security Protection Mechanism
Monitoring, Auditing, and Logging
Security Compliance Qualifications
Quick Start
Platform Usage Preparation
Operation Guide
Model Hub
Task-Based Modeling
Dev Machine
Model Management
Model Evaluation
Online Services
Resource Group Management
Managing Data Sources
Tikit
GPU Virtualization
Practical Tutorial
Deploying and Reasoning of LLM
LLM Training and Evaluation
Built-In Training Image List
Custom Training Image Specification
Angel Training Acceleration Feature Introduction
Implementing Resource Isolation Between Sub-users Based on Tags
API Documentation
History
Introduction
API Category
Making API Requests
Online Service APIs
Data Types
Error Codes
Related Agreement
Service Level Agreement
Privacy Policy
Data Processing And Security Agreement
Open-Source Software Information
Contact Us

Overview

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Last updated: 2026-03-12 20:32:44

What Is TI-ONE?

Tencent TI-ONE is a one-stop machine learning platform created for AI engineers, providing users with full process support from data preparation, model training, and model evaluation to model service deployment. TI-ONE supports various training methods and algorithm frameworks and fully supports post-pretrain and supervised fine-tuning (SFT) of LLMs to meet the needs of different AI scenarios. Get started with the TI-ONE console.

Core Features

Training Workshop: Provides two training methods, dev machine and task-based modeling. Both can quickly and flexibly initiate training tasks based on built-in images or custom images and accelerate training based on Tencent's self-developed Angel framework. In which:
Dev Machine: Provides interactive development functions, supports two online coding IDEs, Jupyter Notebook and VSCode, built-in mainstream frameworks, SSH remote connection, Git repository. It not only supports algorithm debugging and model training, but also data preparation and preprocessing.
Task-based modeling: Provides guided submission and management of training tasks, which is especially suitable for large-scale training on multiple machines and cards. Based on training task priority management and multi-layer fault tolerance mechanism to ensure efficient and stable operation of training tasks.
Model Service: Supports rapid release of models as inference services and offline batch prediction.
Online Services: In addition to one-click deployment, it also supports various service management and monitoring capabilities, including hot update, manual/automatic capacity expansion and contraction, traffic distribution, online testing, and service monitoring.
Integration with Cloud Native: Seamlessly connects to Tencent Cloud's storage, mirroring, permissions, monitoring, logging and other products to provide a one-stop, all-encompassing machine learning experience on the cloud.

Product Pricing

TI-ONE supports two pricing models: Pay-as-you-go and yearly/monthly subscription. Please refer to Product Pricing for details.

Other Related Products

TI-ONE relies on Tencent Cloud to provide an one-stop machine learning experience on the cloud, and uses other Tencent Cloud products including Cloud Object Storage (COS), Cloud File System (CFS), Tencent Container Registry (TCR), Cloud Access Management (CAM), Tencent Cloud Observability Platform (TCOP), and Cloud Log Service (CLS) in different scenarios.


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