> For the complete documentation index, see [llms.txt](https://smartchain-mobile1.gitbook.io/smartchain-mobile1-whitepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://smartchain-mobile1.gitbook.io/smartchain-mobile1-whitepaper/background/overview-and-background-of-computing-power/global-computing-power-enters-a-new-era-of-rapid-development.md).

# Global Computing Power Enters a New Era of Rapid Development

Benefiting from the rapid economic recovery, the global server market continues to grow. In terms of complete systems, the global server market in 2021 recorded a shipment volume of **13.5339 million units** and a total sales revenue of **$99.22 billion**, representing a year-on-year growth of **6.9%** and **6.4%**, respectively. HPE/H3C led the global server market with a **15.6%** market share, followed by Dell, Inspur, Lenovo, and Huawei with **15.4%**, **8.9%**, **6.4%**, and **1.9%** market shares, respectively.

In the chipset segment, the server chipset market has long been dominated by the **X86 architecture**, with Intel and AMD holding **81%** and **16%** of the market share, respectively. As Intel's dominance in the server field weakens, AMD’s market share is expected to continue to rise. Additionally, **ARM server chipsets** are gradually emerging, with global giants such as Nvidia, Amazon, Huawei, and Alibaba launching their own ARM server CPUs. The market share of ARM servers is projected to steadily increase and is expected to reach **10%** by 2024, becoming an important supplementary force for general-purpose computing power.

The increasing scale of training data and the rising complexity of models are driving the rapid growth in demand for **AI servers**. According to IDC statistics, the global AI server market reached **$15.6 billion** in 2021, representing a **39.1%** year-on-year growth. This growth outpaced the overall AI market (including hardware, software, and services), which grew by **22.5%**, making AI servers a key driver of growth for the entire AI market.

<figure><img src="/files/i5bfm2Yj7PZqikrct9q4" alt=""><figcaption><p>The Growth of the AI Market from 2020 to 2030</p></figcaption></figure>

In the **2021 global AI server market**, **Inspur, Dell, and HPE** ranked as the top three vendors with market shares of **20.9%**, **13.0%**, and **9.2%**, respectively, collectively accounting for **43.1%** of the market. **Huawei (5.8%)** and **IBM (4.1%)** ranked fourth and fifth, respectively.

On the chipset front, **traditional chip giants** are accelerating the improvement of their AI chip product ecosystems, striving to enhance computing capabilities and dominate the diverse computing power landscape. **Intel** introduced its next-generation high-performance deep-learning AI training processor, **Habana Gaudi2**, which delivers **twice the computing speed** of its predecessor. After acquiring **Xilinx**, **AMD** plans to integrate Xilinx's **FPGA AI engine** into its CPUs. **NVIDIA** launched its new GPU architecture, featuring **TSMC's 4nm process** and integrating **80 billion transistors**, significantly enhancing AI computing performance.

The **Exascale supercomputing era** has arrived, with supercomputing equipment manufacturers accelerating industrialization efforts, particularly **TSMC**. In the **TOP500** list of supercomputers, **Lenovo** led the market with **161 supercomputers**, representing **32.2%** of the global total. **HPE** ranked second with **96 supercomputers**, accounting for **19.2%**. **Inspur, Atos, and Sugon** ranked third to fifth with **50, 42, and 36 supercomputers**, respectively, representing **10%**, **8.4%**, and **7.2%** of the market.

**HPE** introduced the **Exascale supercomputer Frontier**, the first Exascale system launched after HPE's **$1.3 billion acquisition of Cray**, which is expected to surpass **2 EFlops** in performance by **2023**. **Atos** unveiled its new supercomputer, **BullSequana XH3000**, capable of achieving **Exascale traditional numerical simulation** and **10-Exascale AI-accelerated computing**.

In terms of chips, **Intel and AMD CPUs** continue to dominate. Among the TOP500 supercomputers, **388 systems** use Intel CPUs, accounting for **77.6%**, while **93 systems** use AMD processors. Additionally, the application of **heterogeneous computing chips** in supercomputers is increasing. Among the TOP500 systems, **168 supercomputers** employ **accelerator/co-processor technologies**, of which **154 systems** use **NVIDIA chips**, and **8 systems** use **AMD chips**.