The current round of the U.S. tech stock rebound, one of the strongest directions comes from NeoCloud: CoreWeave, Nebius, and some AI infrastructure companies with electricity and data center resources.

Logically, funds are pricing a leveraged AI infrastructure equity certificate: computing power capacity that has been contracted and can be rapidly delivered.

Once AI demand is revised upwards, NeoCloud's revenue expectations, financing capability, and shareholder equity value could all rise simultaneously. This gives it a strong upward momentum during the tech stock rebound phase; electricity, data center, financing, and valuation elasticity together form this leverage.

The bottleneck for AI is changing. Early on, the most scarce item was GPUs, followed by HBM and high-speed networking; today, what customers really lack is a complete set of deployable capabilities: access to GPUs, sufficient electricity, completion of data center construction, network interconnection, and the ability to deliver a scaled cluster within months.

NeoCloud is stuck in this gap.

Funds are Buying "Powered-on Computing Power Factories"

NeoCloud's products typically include GPU clusters, networking, liquid cooling, data centers, power access, and operation and maintenance services. Customers are buying a large-scale computing capacity that can directly run AI training and inference.

This point is crucial. GPUs can be purchased, but power capacity, land, substations, data center permits, and network access cannot be replicated in the short term. Large cloud providers have capital and customers, but they are also constrained by construction cycles; some AI companies want to retain more flexibility and are unwilling to put all their demands on a single hyperscaler.

Therefore, NeoCloud, with ready-made power and rapid deployment capabilities, has become an "accelerator" for AI infrastructure investment.

The market is willing to give them a higher valuation, and the key lies in two characteristics of such resources:

· Scarce: Available power and deliverable data center capacity are limited;

· Contractible: Customers are willing to sign long-term capacity contracts with minimum commitments.

When scarce resources can be locked in long-term contracts, the market will reevaluate it from ordinary IT service income to cash flow assets with infrastructure attributes.

Earnings Reports Have Changed the Market's View of the Business Model

Previously, the market's main question about NeoCloud was straightforward: buying GPUs and building data centers require huge Capex, will the company fall into a "continuous financing, continuous cash burn" cycle?

The recent financial report provided a somewhat optimistic answer.

CoreWeave's Q2 revenue reached $2.575 billion, disclosing a backlog of approximately $104 billion (expected revenue already signed but not yet confirmed); Nebius' AI Cloud ARR (Annual Recurring Revenue) reached $3 billion and disclosed multiple large long-term contracts. While the market focuses on quarterly revenue, more attention is given to the complete business loop behind these numbers:

AI clients sign long-term capacity contracts
→ Some clients provide prepayments or minimum payment commitments
→ The company becomes more easily able to secure debt and equipment financing
→ New GPU, data center, and power capacity comes online
→ Revenue grows in line with EBITDA (Earnings Before Interest, Taxes, Depreciation, and Amortization)
→ Financing and scaling capabilities continue to improve

This transition has led NeoCloud's narrative from being a "high Capex GPU lessor" to gradually becoming an "AI infrastructure operator supported by orders for expansion."

As long as orders, financing, and delivery can be continuously aligned, growth exhibits a clear flywheel effect.

Why hasn't funding prioritized storage and the Big Three Clouds?

The selection of funding reflects differing expectations at various stages.

The storage leaders benefit from AI demand, with strong momentum in products such as HBM and DRAM. However, the market has started to worry about supply ramp, high prices, peak profit margins, and whether early optimism has been fully priced into the stock. Strong financial reports may pressure the stock price if future guidance is not further adjusted upwards.

The challenge for storage companies lies in their cyclical nature. The market trades the path of future pricing, shipments, and gross margins over the next few quarters. When supply may catch up with demand and average selling prices may decline, strong current performance is challenging to sustain valuation expansion. HBM/DRAM, NAND/SSD, and HDD also have different sub-cycles, and the stock performance of all storage companies cannot be attributed to a single reason.

The Big Three Clouds—Microsoft Azure, Amazon AWS, Google Cloud—possess more robust cash flows, customers, and technological capabilities, and are core beneficiaries of AI investments. Their AI businesses are diluted by large revenue bases from advertising, enterprise software, e-commerce, consumer businesses, etc. Additional AI capital expenditure also takes longer to reflect in the overall group's profit margin improvement. For funds seeking elasticity, a large NeoCloud contract often has a greater impact on revenue and valuation margins than an equivalent-sized order for the overall valuation of the Big Three Clouds.

NeoCloud is positioned between the two: with a lower revenue base, a very pure AI exposure, rapid order growth, and the potential for each new long-term contract to directly support the next round of financing and expansion. The market easily views it as a high-resilience AI infrastructure target.

The current market's trading logic can be summarized as:

NeoCloud, Essentially a Leveraged AI Infrastructure

Understanding NeoCloud's leadership lies in understanding its leverage effect. Buying the stock of these types of companies essentially means holding an equity asset that is highly sensitive to AI computing power demand, deliverable capacity prices, and the financing environment. The leverage here includes three layers of meaning.

The first is operating leverage. The upfront investment in GPUs, data centers, power access, networking, and operations is high, with many costs relatively fixed after capacity is online. As cluster utilization increases and unit capacity prices improve, additional revenue can quickly translate into profit, with a significant margin improvement in profitability.

The second is financing leverage. Long-term contracts, non-negotiable commitments, and customer prepayments can enhance the project's attractiveness to lenders and equipment financiers. As a result, the company can leverage part of its equity capital to scale up GPU, data center, and power investments; once the new capacity starts billing, the revenue can support the next round of construction.

The third is equity leverage. NeoCloud's revenue base and market value are usually smaller than the big three clouds, but fixed assets and debt account for a higher proportion of the balance sheet. If a large contract simultaneously increases revenue expectations, utilization, and financing availability, the market's reassessment of shareholder equity value will be very steep. The rapid share price increase after the financial report often comes from the combination of upward profit expectations and valuation multiple adjustments.

The three layers of leverage constitute a positive feedback loop during the uptrend:

Larger long-term contracts
→ Easier access to financing and capacity expansion
→ Higher utilization and operating profit
→ Increased equity value and financing capability
→ Winning more contracts and opportunities for the next round of expansion

The same mechanism can also amplify downside risks. If customers delay, utilization decreases, GPU or power delivery lags, or debt costs rise, fixed costs and financing obligations will squeeze shareholder returns. Therefore, the market's high-resilience pricing of NeoCloud also reflects its high execution requirements.

Order Visibility is the Core of This Round of Revaluation

The most attractive part of NeoCloud is the visibility of its revenue.

If a customer signs a take-or-pay contract, they are obligated to make a minimum payment even if their actual usage fluctuates in the short term. For the operator, this type of revenue is more predictable, and for the creditor, these contracts improve the feasibility of asset financing.

Therefore, the market will continue to track several indicators:

· Term, enforceability, and customer credit of signed contracts;

· the delta between activated MW (megawatts) and contracted MW;

· Unit MW revenue versus Unit MW Capex;

· Percentage of customer prepayment and payment schedule;

· Utilization rate, renewal rate, and customer concentration;

· Debt interest rate, debt term, and subsequent financing ability.

Among these, "Activated Capacity" is particularly crucial. Contracted MW represents demand, and MW that is energized, installed, and billing commences enters revenue and cash flow.

This is also a reassessment of power assets

A key insight in the NeoCloud community is shifting the focus from GPU quantity to Power (power capacity).

GPU supply expands with purchases from NVIDIA, AMD, and cloud providers; however, the formation of high-quality power capacity is slower. It involves the grid, substations, land, permits, data center construction, and regional network conditions.

Those who can secure enough power early will be able to convert GPUs into sellable computing power sooner.

This is also why some companies transitioning from Bitcoin mining have been able to enter this space: they already have some power resources, land, and infrastructure, only needing to shift assets from mining loads to AI loads. Of course, having resource foundations does not guarantee business success; ultimately, it still depends on customer, financing, and delivery capabilities.

NeoCloud leads in the tech stock rebound, driven by the market's reordering of the AI infrastructure value chain.

The most valued asset by investors currently is the computing power capacity that can combine GPUs, power, data centers, and long-term customer contracts and deliver rapidly. It undertakes both AI capital expenditures and possesses more contractual features than just chips and components; it has both high-growth elasticity and a premium for infrastructure scarcity.

Next, whether NeoCloud can continue to outperform depends on a very basic question: can these massive orders be turned into energized clusters, confirmed revenue, and cash flows covering capital costs on time.

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