Praxima Partners’ Post

LATAM AI Momentum One of the strongest signals in today's digital infrastructure market is that AI investment is becoming increasingly global. Tito Costa highlights an important shift: AI is changing the requirements for digital infrastructure itself. Success is no longer measured simply by available space. It depends on delivering the right combination of power, high-density deployments, advanced cooling, connectivity, low latency, and the ability to scale quickly. The planned US$2 billion investment by Tecto Data Centers between 2026 and 2028 reflects growing confidence in Latin America's role in the future of AI infrastructure. At Data Center Signals, we believe regions that combine reliable power, strong connectivity, renewable energy resources, and execution capability will continue attracting hyperscale and AI investment. The AI infrastructure race is no longer centered on one geography. It is becoming a global competition, and Latin America is positioning itself as an increasingly important part of that future. Congratulations to Tito Costa and the entire Tecto Data Centers team. We'll be watching this journey with great interest. #DataCenters #AIInfrastructure #DigitalInfrastructure

Artificial Intelligence is not only increasing demand for data centers — it is redefining what digital infrastructure must deliver: more power, higher density, advanced cooling, low latency and greater scalability. In my conversation with Intelligent CIO LATAM, I shared how Tecto Data Centers is preparing for this new era through a US$2 billion investment programme for 2026–2028 and the expansion of our platform across Latin America. Our strategy combines AI Grid and AI Factory environments to support hyperscalers, cloud providers and enterprises with infrastructure designed for the next generation of AI workloads. Latin America has all the fundamentals to become a major global AI infrastructure hub: abundant renewable energy, strategic connectivity and rapidly growing digital demand. The challenge now is transforming this potential into real capacity through investment, engineering and execution. This is exactly what we are building at Tecto Data Centers. Read the full interview below ⬇️ #AI #ArtificialIntelligence #DataCenters #AIInfrastructure #DigitalInfrastructure #LatinAmerica #TectoDataCenters

AI infrastructure is entering a new phase – and it won't be defined by scale alone. As inference becomes the dominant AI workload, infrastructure is shifting from a small number of mega training campuses to a more distributed network of regional hubs and metro-edge deployments closer to where AI is used every day. For hyperscalers and colocation providers, this fundamentally changes the equation. ⚡ More locations to energize ⚡ Faster deployment timelines ⚡ Greater pressure on grid access and capacity The result? Power readiness is becoming a critical differentiator. In her latest blog, Susan McLeod, Vice President of Data Center Market Development at Hitachi Energy, explores why the future of AI will be shaped as much by energy strategy as by compute – and what this means for the next generation of digital infrastructure. 👉 Read more: https://lnkd.in/es7C_9Ck #HitachiEnergy #AI #DataCenters #EnergyTransition #DigitalInfrastructure #Innovation

AI's Handicap Isn't Chips, It's the Power Grid We know artificial intelligence consumes huge amounts of energy. The power grid is now a major concern in enterprise technology strategy, and it's reshaping decisions that used to belong entirely to the CIO. For three decades, capacity planning meant negotiating with a cloud provider or a colocation vendor. Today it increasingly means understanding utility interconnection queues, local zoning battles, and the willingness of hyperscale operators to build faster than the grid can comfortably absorb. New research from Synergy Research Group puts deep market data behind a trend every large enterprise buyer has already felt: the constraints are real, but the AI infrastructure build-out is not slowing down. #AppliedAI #Infrastructure #Sustainability

AI isn't the story. The infrastructure behind AI is. The global data center industry is entering a $6.7 trillion infrastructure supercycle—reshaping capital allocation, energy systems, national competitiveness, and digital sovereignty. The race is no longer just about building better AI. It's about building the infrastructure that powers it. Our first insight explores why data centers have become strategic national assets and what this transformation means for investors, policymakers, and industry leaders. Read the full analysis here: https://lnkd.in/gxDJKHak What do you think will become the biggest constraint over the next decade—power, chips, capital, or connectivity? #DataCenters #AIInfrastructure #DigitalInfrastructure #Cloud #Energy #Investment #DigitalEconomy

Datacenter.computer is not a domain sale. It is an AI infrastructure intelligence platform built around the category-defining Datacenter.computer asset. 5,200+ facilities 85 countries 170+ operators 190 metros 60+ published surfaces rankings + benchmarks + cost modelling machine-readable data infrastructure knowledge graph Apple leverages Voice.computer and Mac.computer Amazon owns Shop.computer Aws.computer Amazon.computer Dell Technologies owns Dell.computer Datacenter.computer is now available for strategic acquisition or exclusive licensing. See what you are actually securing — the domain, platform, infrastructure intelligence, data, rankings, knowledge graph and AI-native ecosystem: https://lnkd.in/dhdZk446 One category. One name. One owner. Transaction secured through Escrow.com. Buyer to pay escrow fees. #Datacenter #Computer

The AI Boom Needs a New Infrastructure Playbook The AI industry is scaling faster than the physical world can support. Every new high‑density cluster forces datacenter operators into multimillion‑dollar cooling and power upgrades before a single workload runs. That capital drag slows deployment, limits density, and creates friction across the entire ecosystem. It’s time for a different model — a service‑driven infrastructure platform that consolidates datacenter providers, immersion OEMs, coolant suppliers, and financiers into one operating framework. Instead of treating cooling and power as construction projects, operators should be able to consume them as performance‑based services. A platform built around Infrastructure ‑as‑a‑Service principles (even if we call it something else) removes the CapEx burden and replaces it with predictable OpEx tied to cooling delivered, uptime, and efficiency indicators that actually matter to operations. OEMs provide the hardware and monitoring, financiers underwrite the assets, and suppliers deliver the chemistry and lifecycle materials. Operators get scalable density without the capital bottleneck. As racks push past 80–150 kW, the winners will be the platforms that treat infrastructure as a measurable, financeable service — not a mechanical overhaul. If you’re exploring how performance‑linked infrastructure models can accelerate AI deployment, let’s connect. See link below: https://lnkd.in/gcVWRptG #AIInfrastructure #DataCenters #LiquidCooling #ImmersionCooling #CoolingAsAService #AIScaling #Hyperscale #FinancingInnovation #TechInfrastructure #OperationalExcellence

Everyone is talking about cloud capacity and bandwidth. The real play? The power-hungry AI Gigafactories that actually house the compute. The infrastructure narrative is shifting from "connectivity" to "compute-density." The numbers behind the hype: Data center demand is projected to soar to 92 GW by 2027—a 50% increase in just two years. That growth is compounding at a 17% annual rate. Where the capital is actually flowing: The EU is mobilizing a €20B "InvestAI Facility" to specifically finance the buildout of five massive AI Gigafactories. This isn't just real estate; it's high-stakes industrial development. The bottleneck everyone's missing: It isn't fiber-optics or racks. It is the physical grid capacity and thermal constraints. The winners in this cycle will be those who control the energy-integrated infrastructure, not just the server space. For allocators: Prioritize assets with guaranteed grid-scale power supply and integrated thermal management over pure colocation plays. Read the full analysis: https://lnkd.in/gtCuF3nV — Arterra Research #AIInfrastructure #DataCenters #DigitalInfrastructure #InfrastructureInvesting #PrivateMarkets #EnergyTransition

Building new capacity remains essential, but infrastructure performance matters too. As AI workloads continue to scale, operators are looking for new ways to improve efficiency within existing infrastructure. Advances in cooling, connectivity and data movement can help maximize available power, reduce operational demands and support higher-performance AI environments. As the industry continues to invest in new AI infrastructure, innovations that improve performance at the system level will play an important role in supporting long-term growth. More from Forbes: https://bit.ly/45CToPj