According to a single source, Nvidia provided an almost "countercyclical" number in its latest earnings report guidance: revenue for fiscal year 2028 is expected to grow by about 70% year-on-year, while the company's internal estimates suggest that, in an ideal state without any external constraints, real demand could even support growth rates of around 100%, with supply capacity being the only brake. The company has accelerated revenue growth for four consecutive quarters, pushing Nvidia to the "main gate" of global AI computing power; in the same disclosure, it announced its formal entry into the global high-end CPU market, positioning the Vera Rubin platform as the core growth engine for the upcoming fiscal year, shifting from a single GPU supplier to a central hub for generalized computing power in data centers. Under the dual constraints of U.S. securities regulation and multiple rounds of export controls since 2022, this key infrastructure supplier naturally holds more substantial say on who can access top-tier computing power and how that power can be used. As computing power itself is both scarce and constrained by regulated quotas, cloud platforms will inevitably raise the compliance thresholds for resource distribution towards downstream, making the issue not "can I buy the card," but whether these projects can pass the compliance filters woven from sanctions, anti-money laundering, and export restrictions.
Nvidia Bets on High-End CPUs to Reshape Data Center Power
When Nvidia announced it would no longer just sell "accelerator cards" but formally enter the global high-end CPU market, completing the data center computing power combination of GPU + CPU, its role in the data center has transformed from "external engine" to the heart of the entire system. The main processor positions, originally controlled by Intel and AMD, are now seen by Nvidia as essential central positions to secure, with the Vera Rubin platform identified by a single source as the core growth engine for the next year, meaning the general computing power architecture for the future generation of data centers is likely to be directly inscribed in Nvidia's product roadmap. For cloud platforms and hosted data centers, this is no longer about purchasing a single card but whether to accept a complete set of software and hardware stacks and resource scheduling logic defined by Nvidia, which effectively entails accepting it as the "default option" for compliance and use reviews.
This vertical integration combined with explosive performance has pushed Nvidia closer to being viewed as a "key infrastructure supplier" by regulatory authorities. According to a single source, its revenue for the second quarter of fiscal year 2027 is approximately $96.2 billion, achieving more than double year-on-year growth, with revenue accelerating for four consecutive quarters; the company further provided guidance for a year-on-year revenue increase of about 70% for fiscal year 2028, emphasizing that under unconstrained conditions, real market demand could support growth of around 100%, limited only by supply chain capacity bottlenecks. For U.S. securities regulators, this company is already subject to a strict framework of information disclosure and internal controls as a listed entity, and now occupies a central position in the computing power chain from chips to platforms, effectively concentrating questions of "who can access general computing power and how it is allocated among different compliance-risk customers" into a highly transparent but market-dominant node. This will dictate that as cloud platforms adjust compliance thresholds around the Nvidia ecosystem, both crypto and AI projects will find it challenging to navigate past the shadow of this "infrastructure rule-maker."
Dual Shackles of Supply Shortage and Export Controls
Nvidia explicitly clarified in its latest guidance: if completely unconstrained, real market demand is sufficient to support approximately 100% revenue growth, but the company acknowledges that the only ceiling on annual growth is the insufficient capacity of the supply chain, not the unwillingness of downstream customers to buy. This indicates that the supply of computing power is first locked in by a very rigid "physical constraint"—any bottleneck in advanced processes, advanced packaging, or high-bandwidth storage will prolong delivery cycles for GPUs, CPUs, and even the entire platform, making computing power a scarce resource distributed by batches and lot numbers. Under this premise, who can prioritize delivery is no longer just about commercial negotiation but inevitably mixed with regulatory attitudes and compliance risk prioritization.
The second threshold comes from the increasingly tight export control and licensing regulations concerning high-performance chips, which have been in place since 2022. The U.S. has imposed multiple restrictions on GPUs targeted at specific countries and regions, requiring manufacturers and their channel partners to conduct due diligence on end customers and intended uses, coupled with international sanctions and anti-money laundering frameworks, preventing technology and cloud service companies from supplying to sanctioned entities or projects suspected of being used for money laundering or terrorist financing. The fact that computing power is highly concentrated among a few suppliers like Nvidia means that any new regulation or licensing approval delays will amplify the perception of "further tightening of supply." For data centers, AI companies, and operators of high-computational infrastructure relying on these resources, one side faces physical capacity strain driving up prices and delivery uncertainty, while on the other side, export controls, sanctions, and KYC checks make it a "queue game" of passing the compliance threshold to gain access to computing power. Ultimately, computing power resources are factually "licensed," and the ability of projects to land will increasingly depend on whether they can navigate these two thresholds.
Computing Power Becomes Semi-License: The Screening Boundaries of Cloud Platforms
As Nvidia's GPUs and high-end CPUs become scarce resources under export controls, sanctions compliance, and capacity constraints, they are no longer merely general hardware but treated by cloud platforms as a kind of "semi-license" for allocation. Since 2022, export controls on high-performance GPUs, coupled with international sanctions and anti-money laundering frameworks, have led upstream chip suppliers to embed end-use and end-customer restrictions into distribution agreements, mandating that they do not supply to sanctioned entities or projects identified as being used for money laundering or terrorist financing. Cloud service providers and hosted data centers, as a key part of the supply chain, are forced to incorporate these requirements into their own contracts and processes, using customer identity verification, purpose declarations, and geographical restrictions to prove, "I did not sell Nvidia's computing power to the wrong person."
In this framework, many cloud service providers have previously implemented restrictions or bans on anonymous or high-risk crypto mining operations, while unregistered trading platforms and certain high-risk AI applications have also been pushed to stricter review queues. In a situation of computing power supply shortage, cloud platforms will naturally prioritize the limited high-end GPUs and CPUs for clients who can provide complete information, accept sanctions and anti-money laundering reviews, and are willing to cooperate with regulatory investigations, while pushing projects and AI teams with ambiguous compliance, unclear funding sources, and difficult-to-interpret business uses to the outside. The result is that upstream export control and sanctions compliance requirements trickle down through the supply chain, reshaping the boundaries of whether and under what conditions cloud platforms can provide services to crypto exchanges, mining facilities, and AI projects. The ability of crypto and AI teams to access computing power is shifting from a business negotiation issue to a "licensing exam" centered around sanctions, anti-money laundering, and export control compliance.
Wall Street and Regulators Look at the Same Set of Reports
When Nvidia provides guidance for fiscal year 2028 with a year-on-year revenue growth of about 70% and claims that real demand can support approximately 100% growth under "unconstrained conditions," currently capped only by supply chain capacity, Wall Street hears a growth story while securities regulators see the ceiling of disclosure responsibilities. As a tech stock with substantial market capitalization and weight in the U.S. capital markets according to a single source, its revenue for the second quarter of fiscal year 2027 is about $96.2 billion, and it has seen accelerated revenue growth for four consecutive quarters. This narrative of "unconstrained demand," if there is a gap in information between it and export controls, capacity allocation, or customer purpose reviews, is easily viewed as insufficient disclosure regarding future performance expectations, capacity constraints, and regulatory risks. U.S. securities laws require listed companies to provide genuine and non-misleading explanations for these variables, and historical precedents show that tech companies have been investigated for overstating demand or downplaying regulatory and supply chain risks, putting Nvidia's forward-looking statements under a magnifying glass.
The same set of reports is also used by competing regulatory agencies to examine the structural power within the computing power industry. Nvidia holds an absolute dominant position in the AI GPU market and has announced its formal entry into the global high-end CPU market, positioning the Vera Rubin platform as the core growth engine for the next year, which signifies a potential extension of its power stack from accelerators to general computing power in data centers. This may trigger extra scrutiny regarding vertical integration and market dominance in certain jurisdictions. For theme funds and relevant listed companies aimed at AI and crypto infrastructure, the heightened reliance on a single computing power supplier is no longer merely a commercial choice; it becomes a compliance issue that needs to be clearly articulated in prospectuses, annual reports, and ongoing disclosures: multiple rounds of high-performance GPU export controls since 2022 have tightly bound Nvidia's supply with geopolitical dynamics and sanctions lists. Once certain regions or clients are prohibited from obtaining high-end computing power, how this regulatory impact transmits through balance sheets, project timelines, and valuations must be disclosed in advance. For Wall Street, this is no longer just betting on a growth stock, but on whether a whole compliance structure surrounding concentration of computing power, export controls, and sanctions policies can coexist stably.
How Crypto and AI Projects Respond to Computing Power Regulation
When Nvidia anchors its revenue growth for fiscal year 2028 at about 70% in its latest guidance, while also admitting that real demand under unconstrained conditions is sufficient to support approximately 100% growth but is hindered by supply chain capacity, the reality facing crypto and AI projects is: computing power shortages are unlikely to be completely alleviated in the medium term and are highly concentrated among a few suppliers. Nvidia’s entry into the high-end CPU market and positioning of the Vera Rubin platform as the core growth engine for the next year mean that the high-end computing power stack from GPU to CPU is stacking on the same supply and regulatory chain, and the export controls and discussions on critical infrastructure and sensitive data rules across multiple countries since 2022 are "institutionalizing" this chain. Many cloud service providers have increased restrictions or compliance reviews for crypto mining, unregistered trading platforms, and certain high-risk AI applications in their service terms, and computing power resources are being factually licensed. If crypto and AI projects cannot pass the customer screening and use compliance reviews of suppliers, they will be directly excluded from the mainstream computing power pool. In this environment, project teams and platforms need to plan ahead regarding site selection, prioritizing locations with relatively clear regulatory expectations and lower risks of sanctions and export controls, while reserving isolated structures for high-risk markets; on the other hand, they must avoid reliance on a single cloud platform or region at the supplier level, reserving space for a combination of multiple clouds and data centers to allow for rapid switching if a certain connection is regulated or disrupted. Additionally, internal documentation around anti-money laundering, sanctions compliance, data paths, and model usage needs to be regarded as part of the "computing power application materials" to respond to cloud service providers' usage questionnaires and compliance checks. It must be acknowledged that uncertainties remain regarding how future paths of computing power regulation interact with the iteration pace of Nvidia's CPUs and products like Vera Rubin. Realistically robust infrastructure decisions do not merely bet on a certain clear route but reserve sufficient policy and supply flexibility across contract structures, technical architectures, and compliance strategies.
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