HCIE Intelligent Computing

Insight into computing industry ecosystem

1. Insight into Computing Industry Ecosystem

• Describe the status quo of the traditional computing industry and its room for improvement;
• Understand the computing requirements of emerging technologies;
• Know how the industry addresses challenges.

Key technologies and applications

2. General-Purpose and Heterogeneous Computing Technologies

• Chips used in general-purpose and heterogeneous computing;
• Technologies differences between general-purpose and heterogeneous computing;
• Huawei Kunpeng processors and TaiShan servers.

3. Accelerator Components and Computing Platforms

• Working principle of the acceleration component;
• Differences between common computing platforms.

Intelligent computing solution design and practice

4. Solution Cases in Diversified Scenarios-Web

• Concepts, application scenarios, and architecture of the web system;
• Huawei Kunpeng accelerator engine;
• Web delivery solution of Huawei Kunpeng platform.

5. Solution Cases in Diversified Scenarios-SDS

• Differences between SDS and traditional storage;
• Architecture, key concepts, and data stored procedures of the distributed storage Ceph;
• Main process, key steps, and configuration selection of the SDS-based delivery solution for Huawei Kunpeng platform.

6. Solution Cases in Diversified Scenarios-Big Data

• Kunpeng big data solution architecture;
• Typical delivery process of the Kunpeng-architecture big data solution.

7. Software Application Migration Solution Practice

• Execution process of interpreted and compiled application software;
• Compilation differences between X86 and Kunpeng computing platforms and solutions;
• Huawei Kunpeng community and migration tool;
• Migration methods of application software in different scenarios.

8. Deep Learning Application Solution Practice

• Main application scenarios of AI;
• Huawei Atlas solution;
• HUAWEI CLOUD deep learning development platform.

9. Hyper-Converged Application Solution-Private Cloud

• Concepts of virtualization, private cloud, and desktop cloud based on the hyper-converged architecture;
• Key technologies in the hyper-converged architecture;
• Delivery process of typical solutions.

10. Hyper-Converged Application Solution-Database

• Software and hardware architectures and physical networking in hyper-converged database scenarios;
• Delivery process of typical solutions.

Intelligent computing system optimization

11. Introduction to System Optimization Solutions

• Basic methods for optimizing application systems;
• System monitoring tools;
• Benchmark tool.

12. System Optimization Solution Practice

• Nginx optimization method;
• Ceph optimization method;
• MySQL optimization method;
• Optimization methods for basic big data components HDFS, Yarn, and MapReduce.

On completion of this program, the participants will be able to:

• Describe the current situation and challenges of the computing industry;
• Understand the industry’s countermeasures.
• Distinguish technologies between general-purpose and heterogeneous computing;
• Describe the working principles of acceleration components and common computing platforms.
• Have general knowledge of the basic concepts, application scenarios, software and hardware architectures, and key technologies of the intelligent computing solution;
• Describe the delivery process of typical solutions.

• People who want to become intelligent computing experts
• People who want to obtain HCIE-Intelligent Computing certification