Baidu AI Cloud Media and Entertainment China Translated from Chinese

Baidu Tieba

Tieba needed to evolve from a text-centric community into a large-scale video and live-stream platform without sacrificing access speed, storage scalability, media governance, or operational simplicity.

Read the original story Explore all use cases

CDN supports hundreds of millions of daily web and app visits.

VOD manages video content at the ten-million scale.

Reported impact

Business outcome

Tieba gained a single architecture for live, recorded, stored, and reviewed media that improved user access speed, supported hundreds of millions of daily visits, enabled video growth, and let other Baidu live businesses reuse the same technical backbone at lower cost.

Solution

Baidu Tieba used Baidu AI Cloud to evolve from a text-heavy forum into a video and live-stream community with one end-to-end media architecture. Object Storage BOS forms the backbone for UGC, PGC, short-video, and live-stream assets, while Media Content Analysis and Media Content Review inspect and govern content across the asset lifecycle. Live Streaming Service (LSS) powers Tieba Live as a PaaS layer that let the team launch a live-stream middle platform quickly and keep iterating on new features. Video On Demand (VOD) adds managed storage, organization, playback, and media-asset classification for large on-demand libraries, while CDN distributes content to web and app clients at national scale. Because the same live stack can be exported as an SDK to other Baidu live platforms and share unified-account logic, the deployment becomes a reusable operating backbone for live, recorded, stored, reviewed, and delivered community content.

Data flow

UGC and PGC posts, short videos, and live streams flow into BOS and the LSS live stack, where media-analysis and review services inspect the assets. VOD manages on-demand video organization and playback, and CDN delivers the resulting media to Tieba web clients, mobile apps, and other Baidu live platforms that reuse the SDK-based live middle layer.

Solution architecture

6 components · 5 layers

Compute
- Media Content Analysis Analyzes media assets as part of the full-lifecycle multimedia processing architecture.
Storage
- Object Storage BOS Stores Tieba's large volume of posts, short videos, video files, and other media assets across their lifecycle.
Serving
- Content Delivery Network (CDN) Accelerates Tieba web and app traffic so users can access community content quickly across regions.
- Live Streaming Service (LSS) Runs the Tieba live-stream platform and provides the reusable live middle layer exported to other Baidu platforms.
Governance
- Media Content Review Adds moderation and governance checks to the multimedia processing workflow.
Uncategorized
- Video On Demand (VOD) Manages on-demand media storage, organization, playback, and asset categorization for large video libraries.

Architecture clues

BOS can distinguish hot and cold data and switch storage classes such as standard, low-frequency, and cold storage.
Other Baidu live platforms share the same account and business-logic pattern with Tieba's live stack.
The architecture spans live streaming, recording, media storage, media distribution, media analysis, and moderation.
Tieba exported the live-stream middle platform as an SDK to other Baidu live businesses.

Evidence from the source

BOS supports every video, post, and even every punctuation mark published by users (original: 网友们所发布的每一个视频、每一个帖子、每一个标点符号，都由百度智能云BOS提供支撑服务).

Baidu AI Cloud built a full media-resource-processing architecture for Tieba that covers live streaming, recording, storage, distribution, media analysis, and review (original: 百度智能云多媒体服务为贴吧提供了一整套完整的媒体资源处理覆盖全生命周期管理的技术架构，涵盖直播、录播、媒体存储、媒体分发、媒体内容分析与审核等等).

Baidu CDN supports Tieba's web and app clients with hundreds of millions of visits per day (original: 百度智能云CDN支撑贴吧Web端和App客户端每日数亿次的访问量).

Tieba introduced Baidu VOD to handle the higher data-management and storage demands created by video sharing and live streaming (original: 后续引入视频内容分享以及直播业务后，对数据管理存储提出了更高的挑战。百度智能云则在整体架构设计的时候，引入了百度智能云 VOD (Video On Demand) 解决这一问题).

Tieba's live technical architecture uses Baidu LSS and quickly built a live-stream middle platform that kept evolving with new versions and features (original: 百度贴吧直播业务技术架构采用百度智能云LSS云服务…在较短的时间内帮助贴吧搭建直播吧，形成直播中台).

Transparency Evidence & methodology 75/100 reference value · 87% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value75/100

Problem clarity20/20
Measures whether the customer's operational problem is specific enough to compare.
Implementation depth25/25
Rewards named components, data flow, integrations, and architecture detail.
Outcome specificity20/20
Measures whether the reported benefit is concrete rather than a generic claim.
Quantified impact0/25
0 metrics describe measurable impact.
Deployment scale10/10
Rewards evidence of a live or scaled deployment and meaningful integration scope.

Evidence confidence87%

Source authority20/25
The main evidence is an official vendor-published customer story.
Claim traceability21/25
10 of 12 key fields link to a named source.
Direct evidence20/20
5 direct source quotes retained.
Date provenance10/10
The publication date comes from the source page or publisher.
Source transparency8/10
1 source reference document publisher, URL, authority, retrieval, and supported fields.
Implementation specificity8/10
Rewards source-backed components, data flow, quantified impact, and a specific outcome.

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

Baidu AI Cloud
Baidu Tieba customer story

First-party
https://cloud.baidu.com/customer/case/tieba.html

Source type
Vendor-published customer story

Published
May 15, 2025
Supports
- Customer
- Business problem
- Solution
- Products
- Solution components
- Data flow
- Integrations
- technical area
- use case category
- Business outcome
- outcome category
- Metrics
- Architecture
- evidence quotes
- Publication date

Date evidence

Published on source page May 15, 2025 · Baidu AI Cloud · First-party
Open date source

Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

Similar use cases

See all like this

Baidu AI Cloud Apr 9, 2026 People's Daily Media and Entertainment China People's Daily needed a unified intelligent-media platform that could speed up planning, creation, review and distribution across modern newsroom workflows while handling large video and data volumes. The platform includes 18 key functions. Intelligent Creation Platform · Intelligent Internet Video · Intelligent Video Platform

Baidu AI Cloud Jun 18, 2025 Hanhao Technology (FilmAction.ai) Media and Entertainment China FilmAction needed reliable cloud infrastructure so its AI filmmaking product could generate scripts, storyboards, images, video, voice and music quickly enough for commercial creative workflows. Traditional creative cycles that took weeks can be compressed to minute-level delivery. BaiGe AI Heterogeneous Compute Platform · Qianfan AppBuilder · Qianfan ModelBuilder

Baidu AI Cloud Jun 17, 2025 37 Interactive Entertainment Media and Entertainment China 37 Interactive Entertainment's legacy intelligent customer service stack struggled to understand gaming slang and fast-changing subculture knowledge, forcing agents to search fragmented knowledge bases manually and miss… Complex-issue diversion accuracy increased 2.4x. Customer Service Automation Baidu AI Cloud Keyue Intelligent Customer Service · Qianfan AppBuilder · Qianfan ModelBuilder