AI Platform Implementation Service

Service Overview

The AI Platform Implementation Service targets customers across various industries with specific business scenarios, aiming to address these needs through AI technologies. Based on the AI platform and combined with customer service scenarios, Huawei Cloud provides professional scenario-specific model development, initial installation, tuning services, and AI Cloud Service Migration and Adaptation Service. This helps customers tackle key pain points such as difficult algorithm development, model tuning, and ecosystem migration.

Service Content

• AI Platform Implementation Service

  Service Specifications	Service Content	Application Scenario
  AI Platform Implementation Service - Basic	Designs the implementation of the computing backbone platform, including high-performance networks and storage. Designs the implementation of the AI platform solution, including resource scheduling, model training solution, and model inference solution.	A ModelArts cluster supports 64 PUs.
  AI Platform Implementation Service - Standard	Designs the implementation of the computing backbone platform, including high-performance networks and storage. Designs the implementation of the AI platform solution, including resource scheduling, model training solution, and model inference solution.	A ModelArts cluster supports 64 to 256 PUs.
  AI Platform Implementation Service - Professional	Designs the implementation of the computing backbone platform, including high-performance networks and storage. Designs the implementation of the AI platform solution, including resource scheduling, model training solution, and model inference solution.	A ModelArts cluster supports 64 to 1,024 PUs.
  AI Platform Implementation Service - Platinum	Designs the implementation of the computing backbone platform, including high-performance networks and storage. Designs the implementation of the AI platform solution, including resource scheduling, model training solution, and model inference solution.	A ModelArts cluster supports over 1,024 PUs.

Prerequisites

• The customer must apply for the service at least 10 working days in advance so that HUAWEI CLOUD can evaluate the customer's requirements and coordinate AI experts.
• Both parties reach an agreed service target and sign the contract.

Service Scope

1. Items Coverage

   Huawei provides AI platform implementation services for the development and research of AI applications in various industries. Based on customers' requirements in different phases, Huawei provides development and implementation services including scenario-based model development, deployment, and model optimization. Helps enterprises quickly integrate AI platform capabilities into service applications for scenarios such as computer vision, machine learning, NLP, and decision-making optimization. Industry industries such as industrial quality inspection, sound quality inspection, process optimization, retail identification, and intelligent scheduling provide scenario-based modeling development, deployment, initial installation services, cloud brain customization development services, and training and optimization services for models after go-live.

2. Items Not Covered

   Huawei AI engineers will only deliver the services specified in this statement of work (SOW). Any services outside of this scope will incur additional charges. These excluded services include, but are not limited to:

   • Working beyond regular working days and hours as required by the customer (note that overtime pay and allowances apply).
   • Purchasing products from other companies or individuals.
   • Performing development and maintenance tasks associated with customer services that are beyond the defined scope in the project solution.
3. Service Regions

   Global.

Service Process

• AI Platform Implementation Service Process

  Service phase	Service Description
  Requirement survey and evaluation	Specify the requirement scope for development, deployment, and tuning services and assess their feasibility.
  Solution design	Design development, deployment, and tuning service solutions.
  Solution implementation	Implement scenario-based modeling, deployment, and tuning solutions.
  Service acceptance	The customer verifies the items in the deliverables and signs for confirmation.
  Project handover	Hand over related deliverables to the customer to signify project completion.

Service Deliverables

• AI Platform Implementation Service

  Service	Deliverable
  AI Platform Implementation Service - Basic	AI Training Platform Delivery Function List AI Inference Platform Delivery Function List AI Platform Function Recommendation Report
  AI Platform Implementation Service - Standard
  AI Platform Implementation Service-Professional
  AI Platform Implementation Service - Platinum

  

  • Select the corresponding AI XX Platform Delivery Function List based on the ModelArts training platform or ModelArts inference platform.

Responsibility Matrix

1. Common Responsibilities
   • Negotiate and confirm specific requirements and objectives.
   • Negotiate and confirm project management plans.
   • Negotiate, confirm, and review solutions.
   • Sign the contract.
2. Huawei Responsibilities
   • Huawei specifies a project owner. Customers should be notified of any personnel changes three working days in advance until the project is accepted.
   • Huawei can only use the data authorized by the customer.
3. Customer Responsibilities
   • The customer provides service system information, including but not limited to application architectures, deployment architectures, resource quantity, and performance.
   • The customer performs project acceptance.
4. Responsibility Details
   • AI Platform Implementation Service

     The following table provides an example responsibility matrix and can be modified as needed. R = Responsible party S = Supporting party Note: If Huawei offers technical support for a service, the customer is responsible for its implementation.
     No.	Process	Task	Huawei	Customer
     1	Requirement proposal	Explain business scenarios and clarify requirements.	S	R
     2	Requirement understanding	Understand the requirements and define key issues.	R	S
     3	Requirement confirmation	Confirm requirements and acceptance items.	S	R
     4	Solution design	Design a scenario-specific modeling solution.	R	S
     5	Solution report	Report the modeling solution.	R	R
     6	Solution confirmation	Confirm the modeling solution.	S	R
     7	Solution implementation	Develop and deploy models and interconnect with systems.	R	S
     8	Solution acceptance	Conduct function and performance acceptance.	S	R
     9	Project handover	Sort out and hand over deliverables.	R	S
     10	Delivery confirmation	Confirm the accuracy and completeness of deliverables and confirm the completion of the project.	S	R

Acceptance Criteria

The customer confirms acceptance on the Huawei Cloud official website. The AI Platform Implementation Service is complete.