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Alibaba Cloud Software / SaaS South Korea

CINAMON

CINAMON needed flexible, scalable, and cost-efficient compute for CINEV, its hybrid AI and 3D animation platform, so it could handle fluctuating production workloads and keep user wait times low.

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Reported impact

Business outcome

CINAMON reduced user wait times, improved resource elasticity, and created a lower-cost foundation for AI-assisted animation and story-to-video production.

  • Cost Reduction
  • Customer Experience
  • Scalability

Solution

CINAMON built the CINEV animation-production platform on top of Alibaba Cloud's elastic compute and AI portfolio. The customer story highlights Elastic GPU Service as the fit for AI-intensive rendering and generation workloads, with Elastic Compute Service and Object Storage Service forming the broader application and content backbone behind the service. Supporting infrastructure such as Function Compute, Simple Log Service, NAT Gateway, Alibaba Cloud DNS, File Storage NAS, and Elastic IP Address gives the team the networking, storage, observability, and burst execution tools needed to run a real-time story-to-movie workflow without locking capacity to a fixed baseline. On top of that infrastructure, CINAMON plans deeper integration with Qwen LLM and Qwen Image Edit models so it can improve narrative-to-video transformation and choose the right model size for each generation task. The overall design focuses on keeping wait times low, matching compute spend to fluctuating project loads, and creating a production platform that can scale with AI-driven video demand.

Data flow

User story and media inputs are processed by application services on ECS, AI-intensive jobs run on Elastic GPU Service and Function Compute, assets are stored in Object Storage Service and NAS, and future Qwen-based generation stages enrich the resulting animated videos before delivery.

Solution architecture

11 components · 4 layers
  1. Compute
    • Elastic GPU Service Provides the accelerated compute used for AI-intensive animation and generation workloads.
    • Elastic Compute Service Runs the main application services behind the CINEV platform.
    • Function Compute Adds elastic event-driven execution to support bursty platform tasks.
  2. Storage
    • Object Storage Service Stores media assets and generated content used by the animation workflow.
    • File Storage NAS Offers shared storage for ECS and related production workloads.
  3. Serving
    • Alibaba Cloud DNS Provides managed name resolution for public and internal service access.
    • Elastic IP Address Supplies routable public network addresses for service components.
    • Qwen Provides the LLM capabilities CINAMON plans to integrate into story-to-movie workflows.
    • Qwen Image Edit Supports planned image-editing enhancements for richer AI video creation.
  4. Governance
    • Simple Log Service Collects operational logs and supports stability analysis.
    • NAT Gateway Manages network connectivity for services running inside the virtual cloud environment.

Architecture clues

  • Compute requirements vary significantly depending on project load
  • Qwen LLM and Qwen Image Edit are planned as deeper integrations
  • Technical support responsiveness is treated as a key part of the operating model
  • The platform pairs AI generation with 3D animation workflows

Evidence from the source

"Alibaba Cloud’s elastic scaling allowed the team to instantly adjust computing intelligence capacity based on real-time demand."
"Alibaba Cloud’s flexible computing resource allocation and competitive pricing policies have significantly reduced user wait times for CINEV."
"CINAMON leveraged Alibaba Cloud’s scalable computing infrastructure and Qwen AI models to power its hybrid AI and 3D animation platform, enabling creators to transform stories into videos with lower latency and optimized costs."
Transparency Evidence & methodology 75/100 reference value · 72% 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 confidence72%
  • 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 provenance0/10
    The publication date has no documented provenance.
  • 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. Alibaba Cloud

    CINAMON customer story

    First-party
    https://www.alibabacloud.com/customers/cinamon
    Source type
    Vendor-published customer story
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes

Date evidence

  • First archived Dec 16, 2025 · Internet Archive · Independent First Wayback Machine capture; confirms the page existed by this date, not when it was published.
    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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