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Tencent Cloud WeData

Release Notes
Dynamic Release Record (2026)
Product Introduction
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Billing Overview
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Execute Resource Purchase Description
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Add allowlist /security groups (Optional)
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WeData API 2025-08-06
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Glossary

Serverless Resource Billing Overview

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Última atualização: 2026-01-12 15:19:50
Serverless resource groups provide on-demand, elastic, and highly available computing resources for the WeData platform, primarily used to support personal environment creation in WeData Studio. Compared with traditional resource groups, Serverless resource groups have the following advantages:
1. Finer-grained billing: billing is based on CU × hour, and no charges are incurred when resources are not in use.
2. No O&M required, elastic resources provided, supporting auto start/stop and automatic scaling.
For configuration details, please refer to Serverless Resource Group Configuration.

Resource Performance Metrics

Serverless resource groups use the Auto Scaling model and no longer provide fixed specifications. Instead, they dynamically allocate CU (Compute Unit) capacity based on actual workloads. Currently, the personal runtime environment supports scaling up to 4 CU, with higher specifications to be supported subsequently.
Capability Item
Metric Description
Runtime specification (per personal runtime environment)
4 CU by default
scaling ability
The system automatically scales in/out based on concurrent users and workload without manual configuration.
Billing granularity
Second-level metrics, billed by actual CU usage
Applicable Scenario
WeData Studio Notebook

Fee Charging Standard

Serverless resource groups use the pay-as-you-go model, billed hourly based on CU usage. Pricing varies by region. The following are list prices, and actual prices are subject to the real region.
Website Type
Region Scope
Price
International Site - International Regions
Singapore / Hong Kong (China) / Bangkok / Tokyo / Frankfurt / Silicon Valley / Virginia
0.13 USD/CU x Hour
Example:
Taking the international site in the Singapore region as an example, one individual runtime environment with a specification of 4 CU running for 1 hour: 4 CU × 1 hr × 0.13 USD/CU x Hour = 0.52 USD
Running a 4 CU individual runtime environment for 1 hour in the Singapore region costs 0.52 USD.

Billing Model Details

Project
Description
Billing Modes
Billed by CU x Hour on a pay-as-you-go basis
Resource metering accuracy
Accurate to the second (second-level metric)
Billing cycle
Generate a bill every hour
Billing Rules
You are billed based on actual usage of computational resources. No usage, no billing.

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