AI Server Shipments Surge 65% Year-on-Year, Dell and Super Micro Computer Lead Global Computing Infrastructure
In the third quarter of 2026, the global AI server market has seen unprecedented explosive growth. Latest industry data shows that AI server shipments have soared 65% year-on-year, with the market size exceeding $30 billion, becoming the core engine driving the upgrade of global data center infrastructure. Against the backdrop of continuous explosion in demand for AI large model training and inference, hardware manufacturers represented by Dell and Super Micro Computer are accelerating their layout to compete for the commanding heights of AI computing power.
Explosive Growth in Computing Demand, AI Servers Become a New Blue Ocean
According to the latest report from market research institutions, global AI server shipments reached an astonishing 2.8 million units in the first three quarters of 2026, a 65% increase year-on-year, with an annual projection exceeding 4 million units. This growth rate far exceeds the 7% growth rate of the traditional server market, highlighting that AI computing power has become the core driving force for the development of the technology industry.
Market analysts point out that the explosive growth of the AI server market is mainly due to three factors: first, the continuous expansion of parameter scale of large models represented by OpenAI GPT-5 and Google Gemini has led to exponential growth in computing power demand; second, enterprise AI applications are moving from the experimental phase to large-scale deployment, with a surge in inference scenario demand; finally, governments worldwide have elevated AI computing infrastructure to national strategic importance, continuously releasing policy dividends.
Dell and Super Micro Computer Duel, Server Landscape Being Reshaped
In the global AI server market, two giants Dell Technologies and Super Micro Computer are engaged in fierce competition. According to the latest quarterly data, Dell leads with 28% market share, followed by Super Micro Computer with 23%, with the two companies together accounting for half of the global AI server market.
Leveraging its deep accumulation in the enterprise market and advantages in complete IT solutions, Dell is accelerating the renewal of its AI server product line. The newly released PowerEdge XR12 server uses liquid cooling technology, supports up to 8 NVIDIA H200 GPUs, improves computing density by 40%, and reduces energy consumption by 30%, becoming an ideal choice for large model training. Dell CEO Michael Dell stated in the recent earnings conference call: "AI is reshaping IT infrastructure, and our AI server business has entered a fast growth track, expecting to maintain an annual growth rate of over 50% in the next two years."
Super Micro Computer, with its advantages in modular design and flexible customization, occupies a leading position in the customized AI server market. The company's latest "SuperServer 6029GP-TNRT" features revolutionary GPU direct-connect technology, supports 16 NVIDIA B200 GPUs, and achieves an astonishing 10 PFLOPS of computing power per rack, becoming one of the highest-density AI servers on the market. Super Micro Computer CEO Charles Liang revealed that the company's AI server orders are already scheduled through the first quarter of 2027, with production operating at full capacity.
Liquid Cooling Becomes Standard, AI Server Technology Innovation Accelerates
As AI computing density continues to increase, heat dissipation has become a key factor constraining server performance. Traditional air cooling technology can no longer meet the heat dissipation needs of high-density GPU servers, and liquid cooling technology is rapidly becoming the new standard for AI servers.
Market data shows that in 2026, the proportion of AI server shipments using liquid cooling technology has reached 45%, an increase of 25 percentage points from 2025. Mainstream manufacturers such as Dell, Super Micro Computer, and HPE have all launched mature liquid cooling server product lines. Among them, immersion cooling technology is becoming the preferred solution for high-end AI servers due to its advantages of high heat dissipation efficiency, low noise, and energy saving.
"Liquid cooling technology not only solves heat dissipation problems but also reduces energy consumption by 30%, which means significant cost savings for data center operators," said industry analysts. "In the next two years, we will see the comprehensive popularization of liquid cooling technology in the AI server field."
Supply Chain Challenges and Opportunities Coexist, Localization Becomes a New Trend
The explosive growth of the AI server market has also brought supply chain challenges. Issues such as NVIDIA GPU supply tension and high-bandwidth memory (HBM) shortages continue, leading to extended delivery cycles of 6-8 months for some AI servers. To address this challenge, major server manufacturers are accelerating localized supply chain layouts.
Dell has announced the establishment of new AI server production bases in Texas, USA and China, aiming to increase local production capacity to 70%; Super Micro Computer is ensuring stable supply of key components through strategic partnerships with TSMC and NVIDIA. Meanwhile, domestic server manufacturers such as Inspur Information and Sugon are also rising rapidly, occupying an increasingly important position in the global AI server market with localization advantages and cost-effective strategies.
Investment Perspective: AI Server Industry Chain Enters a Golden Opportunity Period
From an investment perspective, the AI server industry chain is experiencing an unprecedented golden opportunity period. At the hardware level, in addition to server manufacturers, suppliers of core components such as GPUs, CPUs, memory, and cooling systems will also benefit from the explosion of AI computing power demand.
In the US stock market, NVIDIA (NVDA), as the absolute leader in AI chips, has seen its stock price rise by more than 120% since the beginning of the year; AMD has achieved a stock price increase of 85% thanks to the strong performance of its MI300 series AI chips. Among server manufacturers, Dell (DELL) and Super Micro Computer (SMCI) have seen their stock prices rise by 65% and 120% respectively, far outperforming the market.
Notably, the AI server rental market is rapidly emerging. As enterprises shift from building their own AI computing power to on-demand usage, computing power rental platforms such as CoreWeave and Lambda Labs are gaining capital favor. In the second quarter of 2026, the global computing power rental market size reached $4.5 billion, a 120% increase year-on-year, becoming a new growth point in the AI server industry chain.
Future Outlook: AI Server Market Will Maintain High Growth
Looking ahead, the AI server market will continue to maintain strong growth momentum. With the continuous advancement of AI technology and the expansion of application scenarios, the demand for computing power will grow exponentially. It is expected that by 2030, the global AI server market size will reach $200 billion, with a compound annual growth rate maintained at over 35%.
In terms of technological innovation, new computing technologies such as photonic computing and quantum computing are expected to achieve breakthroughs in the next 5-10 years, further promoting revolutionary changes in AI server architecture. Meanwhile, with the development of edge computing, specialized and miniaturized AI servers will find wide applications in fields such as industrial internet and autonomous driving.
"AI servers are only part of the computing infrastructure. In the future, we will see comprehensive innovation from chips, servers to data centers," said industry experts. "In this era where computing power determines competitiveness, whoever can master the commanding heights of AI computing power will take the initiative in future technological competition."
For investors, the AI server industry chain is undoubtedly a field full of opportunities. Whether hardware manufacturers, software providers, or computing service providers, all are expected to share the dividends in the computing power race of the AI era. However, investors also need to pay attention to challenges such as technological iteration risks, supply chain risks, and intensifying market competition, and make rational judgments.
