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Meeting AI's Demands: Strategies for Data Centers in the Nordics

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Industry Insights
Discover how leveraging the Nordic region's unique advantages helps data centers meet the escalating demands of AI and HPC workloads efficiently and sustainably. This article explores innovative strategies that utilize abundant renewable energy, cool climates, robust digital infrastructure, and compliance with European regulations. Learn more about how Genesis Cloud optimizes data center operations to deliver high-performance computing solutions while minimizing environmental impact and exceeding client expectations.

Keywords: Data Center Operations and Evolution, AI, HPC, Electricity Consumption, AI Power Requirements, EU Regulation, ESG, Sustainability, Data Sovereignty, Blackwell, AI-ready, AI Scalability, Nordics.

The global energy landscape is undergoing a profound transformation, driven by electrification and the rapid advancement of AI. Electricity consumption is growing at unprecedented rates, projected to increase at 4-5% annually in regions like the United States and by 19% to 22% between 2023 and 2030 globally—a surge not seen in decades. Data centers are at the heart of this evolution, facing escalating power demands as AI and high-performance computing (HPC) workloads expand.

Data center evolution trends

The AI revolution is dramatically increasing power requirements for data centers. According to a McKinsey analysis released in October 2024, global demand for data center capacity is expected to reach 171 to 219 gigawatts (GW) by 2030, up from the current demand of 60 GW. In an accelerated scenario, demand could rise to 298 GW. This explosive growth is largely driven by AI-ready data centers, which are projected to account for approximately 70% of total data center demand by 2030.

However, when considered in the broader context of total global electricity consumption growth—expected to increase by 6,750 terawatt-hours (TWh) by 2030 as for in IEA’s Stated Policies Scenario—data centers represent a modest portion. Yet, their impact at the local level can be significant due to spatial concentration, leading to pronounced strain on local power networks. Instances have occurred where regions paused new data center contracts due to surging requests that outpaced grid expansion capabilities.

Advancements in GPU technology and power consumption

Advancements in AI technologies, especially generative AI, are intensifying computational requirements. Training complex AI models can consume over 80 kilowatts (kW) per rack, significantly higher than traditional workloads. The emergence of next-generation GPUs, such as NVIDIA's upcoming Blackwell architecture, is set to boost computational capabilities but also comes with higher power requirements. NVIDIA's latest GPUs may require rack densities of up to 120 kW and up to 200 kW in future, eventually even as high as 240 kW per rack, necessitating a rethinking of data center design, cooling solutions, and energy sourcing.

Strategic location choices for the full AI lifecycle

The location of data centers plays a crucial role in managing power demand, sustainability goals, and operational efficiency throughout the entire AI lifecycle. Ideally, co-locating compute resources with abundant renewable power sources is optimal for AI workloads. However, this is challenging due to growing technical complexity and demand. Concentrating data centers near densely populated areas can strain local power networks, limit available space, and complicate efforts to meet climate targets. As data centers grow in size and number, regions with abundant renewable energy, less congested grids, and sufficient physical space become increasingly attractive.

To fully utilize their infrastructure, companies can strategically distribute data centers based on workload requirements:

  • AI Training Workloads: High-compute tasks like AI training, which are less sensitive to network latency, can be located in regions with low-cost power and real estate—such as the Arctic or remote areas of the Nordics. These locations offer abundant renewable energy and natural cooling, ideal for energy-intensive training despite longer data transmission times.
  • AI Inference Workloads: Inference workloads, which require low-latency responses, benefit from data centers closer to end-users in regions with better connectivity. Traditionally, this meant higher operational costs due to real estate and energy prices in major hubs.

However, the Nordics, particularly southern Norway, offer a unique advantage by providing acceptable latency to traditional data center hubs in Europe—such as Frankfurt, London, Amsterdam, Paris, and Dublin—while also offering affordable commercial prices compared to these areas. This means that data centers in southern Norway can effectively serve both AI training and inference workloads. The proximity to major network hubs ensures low-latency connections essential for real-time inference services, without the prohibitive costs associated with data centers in primary markets.

Moreover, in established hubs like London, obtaining a data center with enough floor space and power capacity to install large GPU clusters is increasingly challenging due to high demand and limited availability. In contrast, slightly peripheral regions have the capacity and infrastructure to accommodate sizable GPU deployments, enabling organizations to scale their operations efficiently.

By establishing dedicated fiber connections between these Nordic locations and major European hubs, companies can optimize their network infrastructure. This approach reduces latency and enhances data transfer efficiency without relying solely on public internet exchanges. It allows organizations to own and optimize their infrastructure fully, balancing cost efficiency with performance across the entire AI lifecycle.

Benefits of locating data centers outside major population centers

  • Reduced strain on local grids: Placing data centers in areas with ample power capacity mitigates the risk of overloading local infrastructure.
  • Grid stabilization: Distributed data centers help balance electricity supply and demand more effectively, contributing to a stable and efficient power grid.  Additionally, dispersed data centers can provide ancillary services that support grid stability, such as demand response programs and frequency regulation, actively participating in maintaining grid reliability.
  • Access to renewable energy: Regions rich in renewable resources can supply sustainable power, aligning with environmental commitments. Consuming electricity closer to where it's generated reduces transmission losses and contributes to a more efficient grid.
  • Scalability and space availability: Locations with less grid congestion and more available real estate offer greater flexibility for expansion to meet growing demand. This is particularly important for installing large GPU clusters, which require significant space and power.
  • Acceptable latency at affordable costs: The Nordics provide acceptable network latency to major European hubs at more affordable commercial prices compared to traditional data center locations. This balance of performance and cost is crucial for both AI training and inference workloads.

From the perspective of European businesses, these factors have increasingly led to the relocation of operations to the Nordic countries—a strategy that Genesis Cloud embraced since its launch in 2018. This approach is now becoming standard for the most demanding developments, offering a compelling combination of sustainability, performance, scalability, and cost-effectiveness.

Leveraging key advantages in data center operations

To meet these evolving demands while providing the highest value and lowest costs to our customers, it's crucial to strategically leverage regions that offer unique advantages. The Nordic countries present several unparalleled advantages that can be harnessed to optimize data center operations.

1. Abundant renewable energy sources

The Nordic region offers a wealth of renewable energy resources, making it an ideal location for sustainable data center operations. Iceland operates entirely on renewable energy, primarily from hydropower and geothermal sources, offering some of the lowest electricity prices in Europe. Norway and Sweden generate significant portions of their electricity from hydropower—over 90% in Norway and about 40% in Sweden—resulting in competitive energy prices and a surplus of renewable energy. Denmark is a global leader in wind energy, with wind power accounting for approximately 50% of its electricity production. Finland utilizes a mix of hydropower, biomass, and wind energy, providing stable and competitive electricity prices.

These abundant renewable energy sources are essential for powering high-density AI workloads sustainably and cost-effectively. Moreover, as governments worldwide increasingly offer tax credits and incentives for green initiatives, choosing data centers that operate on renewable energy provides not only environmental benefits but also financial advantages. Companies can benefit from reduced operational costs due to lower energy prices and potential tax incentives, directly impacting their bottom line.

Operating with renewable energy also aligns with corporate sustainability goals and Environmental, Social, and Governance (ESG) criteria that are becoming critical for investors and stakeholders. By partnering with providers that utilize green infrastructure, businesses can enhance their brand reputation, meet regulatory requirements more easily, and appeal to a growing market segment that values environmental responsibility.

Ultimately, it's better for the environment and the planet, and we should all do the responsible thing. By embracing renewable energy sources in regions like the Nordics, we collectively move towards a more sustainable future. The choice to utilize green infrastructure reflects a commitment to environmental stewardship that benefits businesses, communities, and the global ecosystem.

2. Cool climate for natural cooling

The naturally cold climates across the Nordic region reduce the need for energy-intensive cooling systems, significantly lowering operational costs and enhancing energy efficiency. This not only decreases the environmental footprint of data centers but also mitigates the negative impacts associated with excessive energy consumption, such as greenhouse gas emissions. Moreover, with mainland Europe increasingly experiencing adverse weather events like flooding and heatwaves, the stable and cooler climates of countries like Iceland and Norway offer a more reliable environment for data center operations. Utilizing natural cooling strategies in these regions further improves energy efficiency and contributes to the longevity and reliability of hardware by maintaining optimal operating temperatures.

3. Robust digital infrastructure

The Nordic countries boast a robust and advanced digital infrastructure, well-connected to Europe and North America through extensive fiber-optic networks and submarine cables. Significant investments have been made in high-capacity data links, ensuring low latency and high bandwidth connectivity essential for AI and HPC workloads. While northern regions offer the coldest climates advantageous for cooling, southern regions provide shorter distances to major European network hubs. For example, our data center location in Kristiansand, southern Norway, benefits from proximity to central Europe and is directly connected to the peering infrastructure in Frankfurt. This setup ensures high-speed connectivity, low latency, and reliable network performance, enabling efficient operations and seamless integration with global networks.

4. Supportive government policies and incentives

Most Nordic countries have adopted dedicated data center strategies focusing on AI-ready infrastructure and sustainability. While Iceland encourages foreign investment with tax incentives and streamlined permitting processes, Sweden and Finland provide significant financial incentives that can reduce operational costs, Denmark focuses on innovation and sustainability incentives, and, finally, Norway has recently adjusted its incentives.

A key additional aspect is the promotion of heat reuse initiatives, largely supported in the region, where waste heat from data centers is repurposed for local applications like farming and district heating, enhancing energy efficiency and supporting local economies.

These supportive policies not only enhance the economic viability of operating high-performance data centers in the region but also align with global environmental commitments. By participating in heat reuse projects, companies can reduce operational costs, contribute to local sustainability efforts, and potentially benefit from tax credits for green initiatives. Embracing such practices reflects a commitment to environmental responsibility that benefits businesses, communities, and the planet.

5. Commitment to sustainability and data sovereignty

All Nordic countries have strong commitments to sustainability, aligning with global environmental goals. Operating within the European Economic Area (EEA) ensures compliance with stringent data protection standards and European regulations like GDPR and the upcoming EU AI Act, providing confidence in data security and sovereignty. With the EU's increased focus on data center sustainability, operating in the Nordics positions companies favorably in meeting these evolving regulatory requirements.

The combination of sustainable energy infrastructure and adherence to strict data protection laws makes the Nordic region an optimal choice for organizations prioritizing both environmental responsibility and data sovereignty. The European Commission has also adopted initiatives to enhance the sustainability of data centers, including an EU-wide scheme for rating their environmental performance, meaning that the sustainability of data centers will potentially be tracked and monitored by the EU in the future. The Nordic countries already have a significant head start in this area due to their early adoption of renewable energy sources and sustainable practices in data center operations.

Optimizing operations through industry expertise and strategic planning

In the rapidly evolving landscape of AI and data center operations, flexibility and strategic planning are crucial. The swift pace of data center construction often surpasses the rate of grid expansion, leading to challenges such as infrastructure constraints and power shortages. Navigating these complexities requires a deep understanding of global energy trends, technological advancements, and regional dynamics.

By leveraging industry expertise and carefully analyzing regional advantages, we enhance data center operations to deliver high performance at lower costs. This approach allows for:

  • Scalability: Quickly adapting to increasing computational demands without being hindered by infrastructure limitations.
  • Resource optimization: Effectively leveraging regional benefits and navigating regulatory environments to secure optimal conditions.
  • Enhanced resilience: Selecting locations that offer both sustainability and reliability, mitigating risks associated with power shortages or grid overloads.
  • Cost reduction: Choosing areas with abundant renewable energy and favorable pricing structures to lower operational expenses.
  • Performance improvement: Investing in regions with robust infrastructure to ensure high-speed connectivity and efficient operations.
  • Sustainability commitment: Operating in areas dedicated to environmental stewardship, supporting both our sustainability goals and those of our clients.

Integrating flexibility, strategic planning, and industry expertise positions us to meet the evolving demands of AI and HPC workloads effectively and sustainably. This approach delivers significant value while maintaining a strong commitment to operational excellence and environmental responsibility.

Commitment to innovation and adaptation

As advancements in GPU technology increase power requirements, we are proactively adapting our infrastructure to accommodate these changes. By exploring advanced cooling solutions and efficient power management systems, we ensure that our data centers can support high-density, high-power GPUs like those based on the upcoming Blackwell architecture.

We aim to continue offering a wide range of the latest accelerators through various data center locations and to utilize our knowledge and expertise to provide the best possible solutions for our customers. By staying ahead of industry trends and continuously evaluating regional advantages, we deliver high-performance, cost-effective, and sustainable services. Get in touch with our team to discuss any upcoming projects, find a tailored solution to it, and secure the best conditions.

Genesis Cloud complies with German and European regulations and at the same time operates with 100% renewable energy in efficient, green data centers. Especially in Europe, AI startups and companies can benefit from the best prices for AI services while meeting compliance and ESG requirements much more easily.

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