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Today, we will take an in-depth look at the AI server backlog status of major companies, which has recently emerged as a key topic in the global infrastructure supply chain, and examine the structural dynamics of the market.
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Executive Summary
- Dell Technologies' (DELL) AI server backlog—sometimes mistranslated as "Ville" in certain overseas sources—has surpassed an all-time high of $51.3 billion as of Q1 FY27.
- Major OEMs are showing robust joint order growth, highlighted by Supermicro's (SMCI) disclosure of a $60 billion backlog and HPE's $6 billion backlog.
- Physical bottlenecks in High Bandwidth Memory (HBM) and component supply, along with growing power grid constraints, are the primary variables determining how quickly backlogs translate into actual revenue.
Current Market Summary
An accumulation of AI server backlogs (order backlogs) at Dell Technologies (DELL)—which is sometimes mistranslated or typoed as "Ville" in some foreign translation systems and communities—and other major OEMs is a major talking point in the market.
Currently, the global AI infrastructure market is experiencing an unprecedented surge in orders. This demand is driven not only by hyperscalers but also by private enterprises and sovereign states looking to build their own AI infrastructure.
In its Q1 FY27 earnings release, Dell (DELL) reported $24.4 billion in new AI orders alone, bringing its ending order backlog to an estimated $51.3 billion.
At the same time, competitor Supermicro (SMCI) disclosed a record-breaking backlog of $60 billion as of Q4 FY26, while Hewlett Packard Enterprise (HPE) also saw its backlog rise to approximately $6 billion.
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As of intraday on August 5, 2026 (provisional), the Nasdaq Index stands at 26,584.99 and the 10-year US Treasury yield (US10Y) remains high at around 4.62% to 4.70%. Despite this macro environment, Big Tech capital expenditures (CAPEX) remain robust.
The Nasdaq Fear and Greed Index currently sits at a neutral 58.1, recovering slightly from the fear level of 37.9 a week ago. Conversely, the KOSPI Fear and Greed Index is at extreme fear (15.7), signaling high exposure to volatility.
Financial Analysis
Dell Technologies' revenue for the last quarter surged 88% year-over-year to $43.8 billion, significantly beating market expectations of $35.5 billion.
Specifically, traditional CPU-based server revenue nearly doubled to $85 billion, and the corporate PC division (CSG) also grew 17% to $14.6 billion, proving balanced growth across all infrastructure segments.
| Classification | Dell Technologies (DELL) | Supermicro (SMCI) | Hewlett Packard Enterprise (HPE) |
|---|---|---|---|
| **Latest Backlog** | Approx. $51.3B (Q1 FY27) | Approx. $60.0B (Q4 FY26) | Approx. $6.0B (Q2 FY26) |
| **Annual AI Server Guidance** | Approx. $60.0B (FY27) | Margin guidance raised to 15-17% | Total revenue growth raised to 29-33% |
| **Key Supply Constraints** | High Bandwidth Memory (HBM), component supply | Nvidia GPU supply and liquid cooling systems | Integrated network lead times |
| **Recent Earnings Momentum** | New orders inflow of $24.4B | Stock surge on record-high backlog | Synergies from Juniper Networks acquisition |
However, due to the nature of the Nvidia GPU pass-through business model, the Bill of Materials (BOM) cost remains very high. Protecting margins remains a challenge as memory components, including HBM, continue to rise in price.
Valuation
Multiples for hardware OEM stocks are highly differentiated based on their margin resilience and how fast their backlogs convert into actual cash flow.
Dell (DELL) is trading at a forward P/E of around 38x. Considering its explosive backlog growth and shareholder return policies (increasing its share buyback program by $10 billion), its long-term value is considered robust.
On the other hand, SMCI, which faced stronger margin pressure, saw its multiple compress to around 16x P/E, but is looking for a valuation re-rating after recently raising its guidance.
While high interest rates (with the US10Y around 4.6%) pressure multiples across growth stocks, Dell's strong operating cash flow (OCF) of about $11.2 billion annually acts as a solid buffer.
Analyst and Institutional Insights
Major Wall Street firms are noting that global AI investment is transitioning from model training centered on massive public clouds to inference and custom infrastructure building by private enterprises.
As Microsoft CEO Satya Nadella pointed out, this is a result of surging "on-premises" demand, where enterprises want to keep raw data within their own tenant boundaries rather than exposing it to external clouds.
Evercore ISI and other analysts define Dell as "the best-positioned leader in the AI hardware infrastructure cycle" and maintain a medium-to-long-term buy perspective.
The thesis that market share will concentrate around large OEMs with stable sourcing capabilities is gaining traction, suggesting that hardware server suppliers could relative outperform even during corrections in the SOX semiconductor index.
Risk Factors
The most critical risk is not a drop in demand, but rather physical supply chain congestion. If memory shortages delay the translation of the backlog into revenue, multiple contraction will be inevitable.
Furthermore, in 2026, severe power grid bottlenecks from data centers consuming vast amounts of electricity, along with greenhouse gas regulations (such as New York State's moratorium on data center construction), are forcing extensions of physical delivery schedules.
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While the Dollar Index (DXY) is stabilizing downward near 99.91 points, any extension of the Fed's higher-for-longer policy or strengthening recession signals could lead to order cancellations due to return on investment (ROI) pressure for hyperscalers.
Investment Outlook Summary
- **Short-term Scenario**: A strategy is needed to limit risk by measuring the speed of revenue conversion in the next earnings release and monitoring if shortages of key components like memory are resolved.
- **Medium-to-Long-term Scenario**: Aligned with the secular expansion of the enterprise market looking to build private AI factories, companies with downside protection like Dell are highly likely to maintain positive valuations.
- **Macro Variable Alignment**: With the Volatility Index (VIX) hovering around 15.82, maintaining a portfolio based on high-quality cash flows to withstand high interest rates is the best strategy to navigate this volatile market.
FAQ
Q1. In the term "Ville AI server backlog", what company does "Ville" actually refer to?
A1. This is a mistranslation or typo of Dell Technologies (DELL) into words like "Ville" (meaning city in French) in some overseas translation tools or global forums. It actually refers to Dell's AI server backlog.
Q2. Why is a ballooning backlog considered a key driver for stock prices?
A2. A backlog is not hypothetical demand; it is confirmed pending revenue from actual customer orders. Thus, it establishes a solid floor for financial performance and strongly guarantees future revenue stability.
Q3. What is the specific total of Dell's (DELL) latest AI server backlog?
A3. Dell's official AI server backlog as of its most recent quarter (Q1 FY27) is $51.3 billion, an all-time high that increased significantly from $43 billion in the previous quarter.
Q4. Why might a company's profit margins fall despite a record-breaking backlog?
A4. AI servers house multiple Nvidia GPUs, which carry an extremely high cost ratio. In a structure where hardware margins are thin, if high-performance DRAM and NAND prices rise further, profitability (margin rate) could degrade.
Q5. Why should we monitor power constraint risks in the AI server industry?
A5. As of 2026, the massive electricity demands of high-density AI workloads have saturated data center power grids globally. Some state governments have frozen new construction, making site and power supply bottlenecks a new source of server delivery backlogs.