It is estimated that 6,640 million people, or 82 % of the world’s population, are covered by some type of data on data privacy. In a complex network, which covers 144 countries, compliance with local regulations and data sovereignty laws is a growing challenge for companies operating in several countries. To help guarantee local compliance, greater control and safety, you can dedicate more resources to transfer the data to private cloud infrastructures.
In this article, the author analyzes how organizations can strategically plan their local cloud infrastructure, to guarantee regulatory compliance and cope with modern workloads, such as artificial intelligence (AI), while improving planning and predictability of costs.
Private cloud infrastructure: an incentive for the future
Public clouds remain fundamental for most companies. Since they offer flexibility and scalability, reach and global access, as well as an innovation rate that private clouds cannot match. However, in certain cases, private clouds can be a better option. There are three main reasons why companies around the world could transfer their workloads from public cloud infrastructure to those of sovereign private cloud: safety and regulatory compliance, new tasks and predictability of costs.
To help guarantee local complia
1. Security and regulations:
A Private Cloud Outlook 2025 report revealed that 92 % of respondents trust the private cloud in regulatory compliance, which promotes the adoption of private cloud systems. Two out of three people also claimed to be “very” concerned with data storage in public cloud environments and maintenance of regulatory compliance. In addition, with the increase in data privacy laws worldwide and the need to comply with them, more and more companies adopt their own clouds. The General Data Protection Regulation (RGPD) of the EU, for example, imposes strict standards for EU companies that trade with companies in the block, when collecting and treating personal data. For companies subject to these regulations, the establishment of local implementations can help guarantee exhaustive compliance. As a result, investments in private cloud infrastructure are increasing. The world market for sovereign clouds is expected to grow until it exceeds 100,000 million dollars in 2034, according to Polaris Market Research.
2. New tasks:
The AI advances at an unprecedented rate. Organizations around the world invest in this new technology. It is expected that generative expenditure (Genai) reach $ 644,000 million this year, which represents an increase of 76.4 % compared to 2024. and the agency is expected to be adopted even faster. But these new technologies are authentic data devouring. Especially in business environments, AI experiments are usually carried out by several teams, which extract unstructured data from all possible places. The more quality data sets are, the better the result will be. In doing so, they often cause data petabytes through the network to be transferred. This causes an increase in capacity and traffic costs. It is not surprising that analysts comment that seven out of ten companies that use IA affirm that sustainability and digital sovereignty will become the main criteria to choose the appropriate cloud systems by 2025.
3. Cost predictability:
As trends continue to indicate, cloud business spending is shooting throughout the world. A “report on the state of the cloud” of 2025 revealed that 40 % of companies spend more than 12 million dollars a year on the public cloud, which represents an increase of 36 % compared to 2024. The management and optimization of costs are becoming key priorities, especially when it comes to avoiding excess supply. Therefore, most companies value financial visibility and predictability of the private cloud.
Together, these factors indicate that companies are now more likely to choose cloud environments (public, private or hybrid) depending on the needs and characteristics of each task. Depending on the requirements, private clouds can be more attractive. Especially for workloads with intensive use of data that require a high level of safety and regulatory compliance, speed or great integration with other systems.
Cloud companies: implications of local cloud architecture
Given the mentality of prioritizing tasks that predominates in most organizations, both the importance and expectations of the private cloud have increased. Nowadays, those responsible for you want “the best of both worlds.” They want the advantages of a public cloud operational model with control, security, efficiency and predictability (in terms of costs) of a local solution.
Organizations that currently seek to transfer tasks must take into account scalability, flexibility and total property cost (TCO) without compromising regulatory compliance and resilience. Private clouds allow companies to adapt and climb their local IT architecture to the specific requirements and tasks of the business, while allowing greater financial transparency, speed and predictability. With sovereign cloud architectures, you can physically hug your server if you really want.
The private cloud approach is also compatible with a storage infrastructure prepared for the future. Since local IT infrastructure unlocked the emerging ability to separate computing storage, something that public cloud suppliers have perfected for years.
Storage disaggregation: the most innovative vision for companies
Until recently, it was common for organizations to expand their storage capacity by adding new servers. Once the typical three -year guarantee of a system was exhausted, those responsible for IT used to opt for the complete server (together with the processors, RAM and flash storage). At the time, this logic made sense, but it was a proposal of expensive and unfceptual value.
Separate the storage units of computer -to -deny storage – and locate them in independent racks eliminates the problem associated with climbing through the purchase of new servers. In this way, storage and computation can climb independently. Especially in local cloud architectures, disaggregated storage facilitates that several servers share the same storage set, helping organizations to use resources more efficiently. Thus, instead of investing in maximum storage servers, the most agile approach is to disaggregate and extract storage of a common set and assign it to applications as necessary. As projects fluctuate, the demand for storage resources is transferred from one part of the workflow to another.
But disaggregation not only contributes to a more efficient management of data resources. It also increases flexibility to adapt to changing needs caused by new applications (for example, Genai or Agentic AI), data sets and use cases. Disaggregation also creates the opportunity to climb the storage resources based on the changes experienced by the business over time.
Although it is still difficult to anticipate storage needs, CPU, GPU and network, disaggregated storage can eliminate the need for IT departments in the private cloud to make large long -term bets by buying expensive servers with integrated storage. Instead, it allows them to independently climb the computing, GPU and storage capacity. In addition, it offers those responsible for you greater flexibility to adjust your real -time resources allocations.
Is it time to become a private company?
There is no lack of opinions or resources that explain why companies should – or not – move their data and tasks. Nor is there a unique approach that serves everything. Security, regulatory compliance, independent scalability, cost, performance, location and talent should be carefully evaluated before deciding whether a sovereign private cloud architecture is the right option for the company or for specific applications. Although local solutions offer greater control and can facilitate better planning and predictability of costs, public cloud solutions provide faster scalability and ease of use.
In a moment of unprecedented data and increasingly intensive work loads, private cloud architecture can become an attractive alternative for those who seek greater control over data, predictability of costs and access to information.
