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Baidu AI Cloud Media and Entertainment Global Translated from Chinese

Kotoko AI

Kotoko AI needed to migrate a globally oriented AI game from overseas infrastructure, keep latency low for complex multi-agent interactions and reduce the operating cost of cross-region compute and networking.

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Reported impact

Business outcome

Kotoko completed a safer migration path for its global AI game, reduced waste in infrastructure spending and improved stability and access speed for players across regions.

  • Cost Reduction
  • Customer Experience
  • Scalability

Solution

Kotoko AI and Baidu AI Cloud designed a cross-cloud infrastructure plan for the company's multi-agent companion game, Bside. The game relies on many concurrent AI-driven character interactions, so the technical requirement is not just generic hosting but low-latency, globally distributed delivery for language-model-backed social behavior. Baidu replaced the prior overseas-only deployment pattern with a cross-cloud and cross-product setup that uses BCC cloud servers for base compute, GPU cloud resources for AI workloads and CDN acceleration for global player access. The supporting architecture also included latency testing and path optimization for transcontinental traffic, plus an operating model that can flex server and accelerator capacity up and down as business stages change. In practice, the system lets Kotoko keep service continuity during migration, sustain global interactive performance and avoid overpaying for idle AI infrastructure while the game scales across markets.

Data flow

Game traffic and AI-agent requests are served from BCC and GPU resources, while global player sessions are accelerated through the CDN and optimized network paths to keep response times stable across regions.

Solution architecture

3 components · 2 layers
  1. Compute
    • Cloud Servers BCC Provide the base compute environment for the game's migrated application services.
    • GPU Cloud Servers Supply accelerator capacity for the AI-heavy game workloads.
  2. Serving
    • Content Delivery Network (CDN) Accelerates global game access and reduces cross-region latency for players.

Architecture clues

  • CDN and cross-cloud path optimization are treated as core game requirements
  • GPU and non-GPU resources are scaled independently by business phase
  • The architecture spans multiple clouds and regions

Evidence from the source

Baidu provided a cross-cloud, cross-product server and compute solution and helped Kotoko complete its migration (original: 提供了结合地域特性与跨境产品的跨云、跨产品服务器与算力解决方案，并帮助客户顺利完成系统迁移工作).
Bside is built around multi-AI-agent interaction and turns each virtual character into a digital life with its own social behavior and growth path (original: 《Bside》为全球玩家打造了由大模型驱动的全自动“AI模拟人生”……让每个角色拥有类似“灵魂”的动态个性).
The solution also optimized global links around CDN and cross-cloud acceleration to improve the player experience (original: 围绕CDN、跨云加速等方案，优化全球业务链路，助力Kotoko AI实现跨洲际、跨云的服务与产品部署).
Transparency Evidence & methodology 75/100 reference value · 82% confidence · 1 source

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

01

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 confidence82%
  • 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 evidence15/20
    3 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.
02

Traceability

Sources & provenance

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

  1. Baidu AI Cloud

    Kotoko AI customer story

    First-party
    https://cloud.baidu.com/customer/case/kotoko-ai.html
    Source type
    Vendor-published customer story
    Published
    Jun 17, 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 Jun 17, 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.

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