Localizing Datacenter Strategy for Regional Needs

Germany’s new national data centre strategy is out and it (finally) sends a clear signal to investors. The ambition is substantial: ➡️ Double data centre capacity by 2030 ➡️ Quadruple AI compute capacity From an international investor perspective, this is more than just policy, it is a statement of intent to remain a relevant location in an increasingly competitive global market. It has been recognized that additional data centres are needed to support Germany’s goals for data protection and digital sovereignty. But what does it actually mean for expansion and market entry into Germany? 1. Germany is open for data centre investment, but more structured than before. The strategy explicitly welcomes investment while aiming to strengthen local and European value creation. Expect a more guided approach to site selection, energy planning, and connectivity. 2. Power access becomes more “managed” New mechanisms such as staged connections and flexible grid agreements are likely to become standard. For developers, this means: 👉 Earlier engagement with TSOs/DSOs 👉 More realistic ramp-up scenarios 👉 Stronger linkage between project maturity and power reservation In short: speculative land banking without credible delivery pathways will become harder. 3. Site selection shifts beyond traditional hubs While Frankfurt remains constrained, the strategy clearly supports decentralised growth and the use of brownfield sites. 👉 New regions with available grid capacity will gain relevance 👉 Early-stage spatial planning becomes a competitive advantage 4. Permitting remains a bottleneck...for now. There is recognition that planning and permitting must accelerate, but concrete, binding timelines or standardised frameworks are still missing. For investors, this means continued reliance on: 👉 Local relationships 👉 Early stakeholder engagement 👉 Deep understanding of municipal dynamics 5. Community acceptance becomes a decisive factor One of the biggest practical risks today is not regulation, but local opposition. Projects increasingly succeed or fail at municipal level, regardless of technical suitability. For developers entering Germany, this changes the playbook: 👉 Transparent communication is no longer optional 👉 Local value creation (heat reuse, tax contribution, jobs) must be clearly articulated 👉 Municipal alignment needs to happen early, not during permitting 6. Energy costs and talent remain structural challenges The strategy acknowledges both, but does not yet provide fully actionable solutions. Given that energy can represent ~50% of OPEX, this remains a key factor in global capital allocation decisions. ---- Bottom line: Germany is positioning itself as a leading European data centre market, but success will depend less on ambition and more on execution. For investors, the opportunity is real. But so is the need for a more disciplined, locally embedded, and infrastructure-aware development approach.

South East Asia is consolidating itself as one of the most aggressive data center investment regions globally! The Singapore–Johor–Batam corridor alone is expected to exceed 5GW of new capacity, according to McKinsey & Company. Malaysia is accelerating hyperscale absorption, Indonesia is expanding special economic zones, and Singapore remains the capital and connectivity anchor. What this means technically is clear. Grid interconnection capacity will become a bottleneck before land availability. Medium-voltage infrastructure will scale in complexity and fault levels. On-site generation plants will increase in installed MW per campus, moving from redundancy sizing to extended runtime architecture. Alternator specification will trend toward higher short-circuit withstand, improved voltage regulation and harmonic tolerance. Engine platforms will be selected based on load step performance and sustained operation under high ambient conditions. Cooling electrification, higher pump loads and liquid integration will alter the electrical balance of plant. Energy efficiency targets and carbon policy alignment will influence generation strategy, fuel choice and integration with renewable PPAs. This is not speculative growth. Capital is already committed, and engineering standards are tightening. South East Asia’s next wave of data centers will be evaluated not only on capacity delivered, but on electrical stability, generation resilience and long-duration performance under grid stress. Multi-gigawatt expansion transforms data centers into energy infrastructure assets. That shift changes how boards evaluate technical partners. Appreciate the strategic discussions with Sam Cheng in Singapore. Regional insight always sharpens execution. #datacenter #datacentre #southeastasia #powerinfrastructure #generation #criticalinfrastructure #energy #weg #marathon #alternators #missioncritical

The standard data center siting model—with its sketchy promises of local economic development—is breaking down. Local leaders are questioning Big Tech’s claims of spillover benefits, even as frustration grows over rising electricity demands--and bills. Which is why it’s time to rethink the hundreds of data center siting deals still to come. As outlined in new work at The Brookings Institution by my colleagues Daniel Goetzel, Shriya Methkupally, and myself, developers, regions, and states need a more mutualistic approach. They need one that links massive data center projects to real investments in regional tech ecosystems. Here's our post: https://lnkd.in/eDhaneiu Today, data centers’ local economic contributions remain modest, despite extravagant promises. Under the standard model, long-term employment is limited once the construction phase ends. The ChatGPT era, however, is disrupting this model. AI firms’ race to scale ever-larger models has driven unprecedented demand for computing infrastructure, forcing rapid deal-making with communities—often amid growing concerns about energy use, noise, and other impacts. These pressures are shifting the balance of power. Regions with land, electricity, water, and permitting authority now have leverage to shape AI-focused data center deals to be more beneficial. And so regions should seize that leverage, and work harder to align deals with ambitious agendas for tech development, R&D, innovation, and entrepreneurship. They should ask for more. And developers facing site scarcity, backlash, and fierce competition may find they need to give more to get the deals done. Given that, we suggest a playbook for higher-order deal-making with hyperscalers and AI upstarts, including: 📈 Structuring negotiations to unlock regional economic development 🏭 Creating regional testbeds with universities, startups, and operators (e.g., CoreWeave, Microsoft, Princeton University, The Johns Hopkins University, University of Wisonsin/Madison) 💵 Converting AI investment into local wealth creation through shared-prosperity models (e.g., @O.H.I.O. Fund, Emerson Collective) 💡 Turning AI energy demand into a regional R&D focus in energy, grids, and emerging technologies (e.g., EmeraldAI Technologies, Fervo Energy, Thintronics®, ComEd) Can it work? We believe it can. Regions are rediscovering that their land, infrastructure, water, approvals, and electricity are precious. They should insist these resources be shared only through grand bargains that deliver lasting, high-value development in return--and they may find their AI partners eventually agree. The Brookings Institution Michael Hicks Paul Kedrosky Maria Messick Joe Parilla Mayu Takeuchi Sanjay Patnaik Amy Liu Karen Hao Brad Henderson Jason Hall Liat Krawczyk Francesca Gabriella Ioffreda

With the rise of the Trump administration in the US and a potential loss of shared values between America and Europe, the debate about #derisking through more independence and stronger resilience, i.e. #decoupling scenarios, is accelerating beyond China. For many years IT strategy had been about centralization and standardization to get complexity and costs down. The direction was from disintegrated legacy systems and decentral independent IT organizations to central governed systems and global IT teams. Now the scenarios move from “trusted integration” over “marriage of convenience” with coalitions of same interests or “dual-circulation” to “move-out” in an “I isolate my country” approach. The results are a change from Trust-to-Mistrust culture, dealing with more Regulations and Arbitrariness and reshoring into protected Regional Markets. The challenges are higher complexity, more redundancy, and therefore higher IT costs and increased security risks. To ensure continued interoperability not only of IT systems, but also global supply-chains and operations, an IT strategy for a deglobalising world should focus on #agility, #resilience and #independence. Here are seven key approaches: 1️⃣ #Decentralisation: Promoting decentralised IT structures that enable companies to work independently of centralised systems. 2️⃣  #Localisation of data and services: building regional data centres and data infrastructures to minimise regulatory requirements and geopolitical risks. 3️⃣ #Multicloud strategies: Using multiple cloud providers to avoid dependencies on a single provider and increase flexibility. 4️⃣ #OpenSource technologies: Use of open source software to reduce dependence on proprietary solutions and maintain control over IT systems. 5️⃣ #Derisking and strengthening #Resilience: Focus on robust security measures to counter threats in an increasingly fragmented digital landscape. 6️⃣ Investing in local #Talent: Building and promoting IT skills in the regions in which the company operates to reduce dependence on global labour markets. 7️⃣ #Agility and #Adaptability: Introducing agile methods to respond quickly to changes and adopt target operating model, governance, technology & enterprise architecture. These strategies help organisations to better position themselves in a world of increasing geopolitical tensions and regulatory challenges. Want to learn more about a specific approach? Please contact me Dr. Gerd Niehage (倪歌德). With my over 30years of IT expertise, being the CIO in multinational manufacturing industries with a focus on decentralisation and composable architectures and more than 10 years as expatriate in America and China, I can support to find the right solutions to survive in a changed world order.   P.S. Thanks to VOICE - Bundesverband der IT-Anwender e.V. for the opportunity to start the discussion of this important topic within the CIO Community #ITStrategy #CIO #CEO #CFO

The shift of hyperscale capacity to industrial zones outside Jakarta—Cibitung, Cikarang, and Karawang—shows that large land plots and abundant power are not the only success factors. Another key element is the presence of ultra-high-capacity fiber networks that connect these hyperscale campuses to Jakarta’s interconnection ecosystem (IX, cloud on-ramps, operator exchanges, enterprise hubs). Without adequate transport corridors, hyperscale facilities may exist physically but cannot operate optimally. This is evident from industry reports and multi-MW expansions that are driving traffic growth both east-west (DC-to-DC) and north-south (to/from the global internet and regional clouds). From a technical standpoint, the urgency is clear. First, capacity & latency: hyperscale architectures require massive bandwidth for storage replication, disaster recovery, and cross-site synchronization with strict RPO/RTO. Second, route diversity & resiliency: hyperscale demands physically redundant fiber corridors to avoid failures caused by excavation, maintenance, or incidents—without this, SLAs cannot be maintained. Third, traffic engineering: the backbone must support multi-terabit DWDM, OTN, Segment Routing, and optical monitoring to separate latency-sensitive traffic from bulk workloads like backups or AI dataset replication. Fourth, economics: building large dark-fiber or duct corridors is more efficient long-term than adding multiple small IP/MPLS links in parallel. From a market perspective, Indonesia’s hyperscale capacity is growing rapidly with the rise of AI, big data, and multi-cloud. As power availability in Jakarta tightens, developers are shifting toward West Java. But this migration of workloads significantly increases the demand for transport capacity between Jakarta and West Java. Without a large backbone, new data centers risk becoming bottlenecks—big buildings with limited bandwidth, similar to several global clusters that faced this issue. Practical challenges are also substantial: Right-of-Way processes take a long time, especially across toll roads, industrial areas, and utility corridors; fiber routes are vulnerable to accidental cuts; and operators face business-model dilemmas between long-term dark fiber and faster-revenue wavelength services. Capacity planning must also consider future traffic patterns such as AI training bursts (GPU spikes), multi-site replication, and increased regional interconnection including Batam–Singapore. In short, the expansion of data centers into Cibitung–Cikarang–Karawang can only succeed if supported by large-capacity, diverse, and scalable fiber backbones. Without this transport foundation, the risks of bottlenecks and SLA degradation will remain high—even if hyperscale campuses stand impressively outside Jakarta.

💡 How China Builds Its Cloud. By Design, Not by Market In most countries, cloud infrastructure grows where markets find cheap land, fast internet, and stable power. In China, it grows where policy decides. The Eastern Data, Western Computing (EDWC) initiative is a state-orchestrated plan to move data centers inland, shifting processing power from energy-hungry coastal cities to renewable-rich western provinces. 🔹 8 national computing hubs have been established, such as in Guizhou, Inner Mongolia, Gansu, Ningxia, and Qinghai, forming a vast “digital backbone” that supports Beijing, Shanghai, and Guangdong’s data demand. 🔹 US$6.1 billion has already been invested, with total project commitments topping US$28 billion. 🔹 1.95 million server racks have been installed, 63% already operational. They are policy-built ecosystems aligning computing geography with energy policy, data sovereignty, and regional development. Guizhou, once one of China’s poorest provinces, now hosts Apple’s iCloud operations through a state-partnered local firm, and houses Huawei, Tencent, Alibaba Group, and Baidu, Inc. data campuses. Some centers are even built into natural mountain caves to optimize cooling efficiency. This is “the cloud by design.” Infrastructure is a strategic instrument of the state. And it raises a bigger question for us in Malaysia. As AI and compute infrastructure become the new national assets, should we continue letting market forces alone decide where data, power, and compute grow or should we design them by intent? I share semiconductor insights everyday. Follow me 👉 Andrew Chan Yik Hong for actionable perspectives on policy, strategy & industry shifts and ring the bell 🔔 to get notified whenever I post. 💬 If this post resonates with you, re-post, drop a comment or leave a like. I’d love to hear your thoughts.

Why Oman is becoming a strategic location for international data centers. When people talk about “global data center hubs,” they often default to the usual names—Frankfurt, London, Amsterdam, Singapore, Mumbai. But quietly and steadily, Oman has been building many of the same ingredients that make those hubs powerful: world-class connectivity, policy direction, and a growing ecosystem around cloud and data sovereignty. 1) Connectivity that supports global-scale resilience International operators care about more than “a route” — they care about route diversity and the ability to engineer resilient paths across regions. Oman’s role as a submarine cable landing environment strengthens those options, helping support lower-latency access and stronger redundancy for regional and international traffic. 2) A clearer baseline for regulated workloads For financial services, healthcare, government, and critical infrastructure, trust starts with governance. Oman’s Personal Data Protection Law (issued by Royal Decree No. 6/2022) establishes a formal legal framework for processing personal data — a key enabler for compliant cloud, colocation, and managed services. 3) National direction that explicitly promotes data centers and cloud Data center hubs mature faster when policy and programs stimulate real demand. Oman’s National Digital Economy Program includes “Promoting Data centers and cloud services,” signaling sustained national focus on digital infrastructure as an economic pillar. 4) Proof of momentum: hyperscale-grade deployments Ecosystems accelerate when major cloud capabilities are deployed locally, especially when they support sovereign and regulated use cases. Recent activity around OCI Dedicated Regions in Oman is a visible signal that the market is scaling in both capability and confidence. 5) Oman’s role in a “multi-region” Gulf strategy For international platforms, the region is increasingly designed as a mesh: primary + secondary + DR + edge. Oman can play multiple roles in that model — primary workloads, strong DR diversity, and connectivity-driven edge services — while supporting long-term growth in interconnection and cloud on-ramps. On the ground: this direction is being translated into real capacity and geography-aware resilience — including Datamount’s Muscat and Jabal Akhdar data centers, positioned as complementary sites that can support low-latency delivery, sovereign requirements, and business continuity across Oman’s diverse terrain. #Oman #DataCenters #DigitalInfrastructure #CloudComputing #Connectivity #SubseaCables #DataSovereignty #MENA #Colocation #DisasterRecovery #EdgeComputing #DigitalEconomy

Location, Location, Location - Have you ever bought a house without visiting the neighborhood first? When it comes to cloud strategy, “neighborhood matters.” Where you locate your workloads—public cloud, private cloud, edge, sovereign data center—is a lot like choosing where to live. The right spot gives you stability. The wrong one can expose you to legal headaches, performance lag, or costly surprises. Here’s what I’m seeing more clearly than ever: - Sensitive data, AI/ML workloads, and regulated workloads need more than just “cheap cloud” or “whatever is closest.” They need sovereignty, control, compliance, proximity. - Hybrid AI and hybrid cloud are rising—not because cloud is one-size universally, but because organizations need to mix and match where they run things so performance, cost, trust, and compliance all align. - MSPs (Managed Service Providers) are being pushed into the role of not only “operator” but strategic partner: guiding where things live, how data flows, what jurisdictions apply, how risk is managed. So where does Rackspace Technology come in? Think of Rackspace as your realtor + inspector + zoning board when buying real estate, but for your cloud/AI workloads. Here’s how Rackspace helps you pick the right “house and neighborhood” for each workload: - Workload-aware placement guidance – helping you decide which workloads need private, sovereign infrastructure; which can live in public cloud; which need edge deployment. - Hybrid & Private Cloud AI Infrastructure – Rackspace Private Cloud AI gives you secure, scalable infrastructure for data-sensitive or compliance-bound workloads. Rackspace Technology+1 - Governance, compliance, sovereignty support – Rackspace offers advisory and managed services to ensure your data stays in the right region, meets local regulatory requirements, and your ML/AI models are transparent and auditable. - Interoperability across public, private, edge – so you maintain strong performance, avoid vendor lock-in, manage latency, and keep control over costs. If you want to dig into the full picture check out this blog post written by my colleague Simon Bennett “Private Cloud, Hybrid AI and the New MSP Mandate” - https://lnkd.in/gcukV255

India’s #datacentre sector is clearly entering a more serious phase of policy and infrastructure support. In my earlier post, I highlighted how the discussion around nuclear power privatization for data center operators was an important signal of India’s long-term intent to enable energy-secure digital infrastructure. Now, Andhra Pradesh’s reported #DISCOM licence model for large data centres takes that conversation a step further. This is significant because it shows that India is beginning to address one of the sector’s biggest constraints more directly: reliable, scalable, and flexible power delivery. For years, data centre growth discussions have focused on land, connectivity, and incentives. Those remain important. But as the market scales, especially with the rise of AI workloads, higher rack densities, and larger hyperscale campuses, power architecture is becoming the defining variable. That is why this development matters. It suggests a broader shift in thinking: ⚡️from viewing data centres as conventional real estate, ⚡️to recognizing them as strategic digital infrastructure; ⚡️from generic industrial policy, ⚡️to more targeted enablement around energy access and distribution. When seen alongside the earlier debate on private participation in future energy supply models, including nuclear, the direction is becoming clearer: India wants to compete seriously for long-term data centre and AI infrastructure investment. The next wave of growth in this sector will not be determined by demand alone. It will be determined by which regions can offer: - dependable power, - scalable distribution frameworks, - cleaner energy pathways, - and policy confidence for large capital deployment. This is why moves like this deserve attention. They are not isolated policy decisions. They are early markers of a more mature infrastructure strategy for India’s digital economy. #DataCenters #DataCentre #DigitalInfrastructure #India #AndhraPradesh #PowerInfrastructure #PowerDistribution #EnergyTransition #RenewableEnergy #CleanEnergy #NuclearEnergy #Infrastructure #Investment #Hyperscale #Colocation #CloudInfrastructure #AI #ArtificialIntelligence #GenerativeAI #AIInfrastructure #DigitalEconomy #Sustainability #EnergySecurity #DataCenterIndia #TechInfrastructure

With data center demand expected to double by 2030 and excess office inventory across the U.S., building conversions are becoming an increasingly compelling solution. In California, however, feasibility is multi-layered. Beyond power costs and availability, cooling, and redundancy, projects must also navigate rigorous environmental analysis through a project’s CEQA compliance. From our perspective at EPD, successful data center conversions begin with understanding environmental constraints early, not treating them as a downstream permitting hurdle. Under CEQA, adaptive reuse projects, especially those involving significant electrical upgrades or increased operational intensity may trigger detailed environmental review. Key considerations typically include:  • Energy and Power Infrastructure  Data centers are energy-intensive by nature. CEQA analysis evaluates increased electricity demand, upstream generation impacts, substation upgrades, and consistency with California’s clean energy and GHG reduction goals. Coordination with utilities and regulators is essential, particularly in constrained load pockets.  • Water Use  Cooling systems and fire suppression can significantly increase water demand. Environmental review looks at water sourcing, drought resilience, cumulative impacts, and consistency with local and regional water management plans.  • Air Quality & Greenhouse Gases  Backup generators, construction activity, and increased energy consumption raise air quality and GHG concerns.   • Noise & Vibration  Mechanical systems, generators, chillers, and 24/7 operations can impact nearby receptors. CEQA requires evaluation of operational and construction noise  • Traffic & Transportation  While data centers are not people-dense uses, construction traffic, equipment deliveries, and operational staffing still require analysis.  • Biological & Cultural Resources  In suburban, rural, or edge-of-urban locations, biological resources, wetlands, and sensitive habitats may be present. Even infill projects can raise issues related to tree removal, migratory birds, or historical resources. Data center conversions in California are absolutely viable with early-stage environmental and technical diligence to address the above multi-layered issues. At EPD, we see the best outcomes when environmental, engineering, and development strategies move forward together, especially for mission-critical infrastructure. Let's talk about your next project - https://lnkd.in/ghdf9Q_6