The European Commission estimates that data center electricity demand will triple by 2030, driven by AI workloads exceeding 120kW per rack. That demand is exposing a hidden inefficiency—up to 15% of power is lost before it even reaches compute. This guide explains why HVDC data centers in Europe are becoming the only viable architecture in … Read more
A 1GW data center consumes ~8.76 TWh annually, requires 450,000+ Blackwell GPUs, and demands direct access to generation and liquid cooling infrastructure. This guide covers everything infrastructure teams need to plan at gigawatt scale in 2026. Gartner estimates global data center electricity demand will exceed 1,000 TWh by 2026—more than the total consumption of Japan. … Read more
AI data centers in 2026 demand 100–750 MW per site. This guide covers exact power requirements, GPU rack densities, cooling strategies, and how to choose between grid, SMR, and on-site generation. Gartner estimates global data center electricity demand will exceed 1,000 TWh by 2026—more than the entire consumption of Japan. That’s not just a scaling … Read more
Europe controls less than 5% of global AI compute while US hyperscalers dominate over 70% of the regional cloud market. This imbalance is forcing enterprises to rethink where their AI systems run—and under whose laws. This guide explains how the EU sovereign AI infrastructure stack is actually deployed in 2026, including real AI factories, compliance … Read more
In March 2026, Guru launched its Slack Model Context Protocol (MCP) integration — enabling AI agents to query live conversations in real time. That single update broke the biggest limitation of traditional enterprise search: stale data. While Glean indexes everything retrospectively, Guru now participates in knowledge as it happens. This guide explains exactly how the … Read more
The 2026 Infrastructure Pivot: From Chips to Power and Sovereignty In 2025, the AI race was about getting GPUs. In 2026, the AI race in Europe is about where those GPUs are allowed to run — and whether the power grid can support them. Nvidia’s Blackwell platform (B200 and B300) is now widely available across … Read more
AI data centers use 20 MW to 1 GW of electricity — up to 10x more per rack than traditional facilities. This guide covers power consumption, training vs. inference costs, grid constraints, and how to plan your power strategy in 2026. In 2025 alone, more than 10 gigawatts of new AI data center capacity were … Read more
Power, latency, and infrastructure constraints are reshaping sovereign AI in Europe “Europe is investing €20 billion into AI gigafactories, but a critical bottleneck is already emerging: power and grid capacity. While headlines focus on GPUs and sovereignty, the real constraint is electricity access and latency. This guide breaks down the hidden problems shaping Europe’s AI … Read more
The Shift From “Finding Data” to “Reasoning with Data” Is Redefining Enterprise AI Enterprise AI search vs RAG systems is one of the most critical architectural decisions for CTOs in 2026. While AI search delivers sub-100ms information retrieval, RAG systems enable high-accuracy reasoning and automation. The real competitive advantage lies in combining both into a … Read more
Enterprise Knowledge Is Broken — AI Is Rebuilding It from Scratch AI knowledge management systems are transforming how enterprises store, retrieve, and use internal data. Instead of static knowledge bases, organizations now rely on AI-powered memory layers that continuously update, enforce permissions, and deliver context-aware insights—making enterprise knowledge searchable, secure, and actionable in real time. … Read more
