cartagon.ai

Muchas gracias al equipo de Energiro y a la pareja Pablo Galán y Miguel Angel Gonzalez Ezquerra por ponernos en lo más alto de este torneo. 🚀🚀

Today we are thrilled to welcome Pablo Galán to our team as our new Sales and Alliances Director. Welcome aboard, Pablo! 🚀 🚀 🚀

At cartagon.ai, we believe that the next era of artificial intelligence won’t be defined solely by the size of models or the speed of chips but by the quality and purpose of the infrastructure that sustains them. The AI economy will be built on three pillars: Compute accessibility, ensuring that advanced intelligence is not concentrated in a few hands. Operational efficiency, where performance and energy use converge to create sustainable scalability. Economic inclusion, because when more organizations can build, deploy, and benefit from AI, the entire market expands. The technologies that create broad, systemic impact are also those that generate the most enduring economic value. That’s why we design AI infrastructure not only for performance and efficiency, but for resilience, interoperability, and long-term ROI. At Cartagon.ai, we see no contradiction between profitability and positive impact, in fact, we see them as two sides of the same equation. Innovation that enables more people, industries, and ecosystems to thrive doesn’t dilute value; it multiplies it. That’s the real compounding effect of intelligence done right. 🌍 AI that scales knowledge. AI that amplifies talent. AI that collaborates. #AIInfrastructure #HumanCenteredAI #SustainableCompute #TechEconomy #Innovation #GPUCloud #DataCenters #AIEconomy #PurposeDrivenGrowth

🌍 Powering Europe’s AI Revolution Responsibly at CaratagonAI In today’s rapidly evolving AI landscape, addressing the energy needs of artificial intelligence in Europe is more critical than ever. Recent insights highlight the profound impact AI-driven data centres are having on EU power systems and what we must consider for a sustainable future. 🔹 Key insights: 🏭 Data centres currently account for just over 2% of Europe’s electricity demand, but the new AI pipeline could boost EU power consumption by up to 30%, adding between 135 TWh and 225 TWh this decade. (Goldman Sachs) ⚡ The European Central Bank projects electricity use from AI-powered data centres could grow by 90 TWh, about 4% of current EU consumption. 📊 A McKinsey analysis suggests EU data centre demand could more than triple by 2030, reaching over 150 TWh, driven largely by AI growth. At cartagon.ai, we are committed to building Europe’s AI infrastructure with responsibility and foresight: 🔧 Planning scalable, energy-resilient architectures 📡 Engaging with policy frameworks for grid expansion 🌱 Partnering in low-carbon and renewable energy ecosystems We believe innovation and sustainability must go hand-in-hand especially when building the future of AI in Europe. #ArtificialIntelligence #AIInfrastructure #DataCenters #GreenAI #EnergyTransition #DigitalEurope #CaratagonAI

The U.S. has launched "America's AI Action Plan," a strategic blueprint to secure global leadership in artificial intelligence, as outlined in Executive Order 14179 signed by President Trump. This plan is built on three pillars to drive innovation, infrastructure, and international influence: 🚀 Accelerate AI Innovation: Eliminate regulatory barriers, promote open-source AI, and ensure AI systems reflect American values like free speech. It prioritizes workforce development through AI skill training and advances innovation in sectors like healthcare and manufacturing. 🏗️ Build AI Infrastructure: Streamline permitting for data centers, enhance the U.S. power grid, and revitalize semiconductor manufacturing. It also focuses on secure data centers for military use and training a skilled workforce for AI infrastructure roles. 🕊️ Lead in International AI Diplomacy: Export U.S. AI technology to allies, counter authoritarian influence in global AI governance, and enforce robust export controls to safeguard advanced AI compute from adversaries. This plan aims to spark an industrial and information revolution, empowering American workers and strengthening national security while ensuring U.S. dominance in the global AI race. Read the full plan at: https://lnkd.in/ewxX4fAF #AI #ArtificialIntelligence #Innovation #Technology #NationalSecurity #AIInfrastructure #TechPolicy #USLeadership #DigitalTransformation

🚀 Alberto Valencia (AI Director) and Enrique Gonzalez (Business Director) from cartagon.ai visited NVIDIA European Business Center in Munich this week. We’re grateful to the NVIDIA team for the warm welcome and the time shared. It’s always a privilege to engage with industry leaders who are shaping the future of AI infrastructure globally. Looking forward to continued collaboration and the road ahead. #CartagonAI #NVIDIA #InfraestructuraIA #DataCentersEuropeos #AIenEspaña #TecnologíaEuropea #AIReady #Colaboración #InnovaciónDigital #IA #InfraestructuraDigital

NVIDIA GTC Paris 2025 – Announcements Shaping Europe’s AI and Quantum Future This week, cartagon.ai was on the ground at GTC Paris 2025, where we had the opportunity to experience firsthand the keynote by Jensen Huang, CEO of NVIDIA. A front, row seat to the future of AI, cloud, and quantum computing. Here’s a summary of the key takeaways from the event: 🔧 Industrial AI Cloud – A First, of, its, Kind Platform NVIDIA announced the launch of the world’s first industrial AI cloud, designed to support CAD, CAE, robotics, digital twins, and autonomous vehicles. It’s a complete AI stack, from Omniverse to RTX and Isaac—tailored for modern industrial needs. 🌍 10X Growth in European AI Infrastructure by 2026 A bold vision for Europe: NVIDIA projects a 10x increase in AI compute across the continent by 2026. This aligns perfectly with our mission at cartagon.ai to contribute to a sovereign, high, performance compute ecosystem for European AI workloads. ☁️ DGX Cloud Lepton: Unified, Scalable AI Compute Connecting developers to a global AI backbone, DGX Cloud Lepton supports multi, cloud/multi, tenant deployments and integrates major players like AWS, Azure, CoreWeave, Lambda, Scaleway, and new GPU marketplaces. 🖥️ NVIDIA RTX PRO Server Now Available A turnkey solution for enterprise, grade AI, now accessible through leading OEMs like Cisco, Dell, Lenovo, ASUS, and MSI. Ideal for AI inference at scale in enterprise and industrial settings. ⚛️ CUDA, Q: Bridging Quantum and Classical AI NVIDIA unveiled CUDA, Q, enabling hybrid quantum, classical computing with speedups of up to 8000x over CPU. Use cases range from EDA and data generation to error correction and simulation—ushering in the next frontier of AI acceleration. 🎯 As cartagon.ai works to build next, generation GPU infrastructure for AI in Europe, these announcements further validate the urgency and opportunity of our mission. It was inspiring to see in person how NVIDIA is accelerating the path toward a more powerful, sovereign, and industrial grade AI future. #CartagonAI #GTCParis #NVIDIA #AIInfrastructure #RTXPro #CUDAQ #DGXCloud #QuantumComputing #Omniverse #DigitalTwins #SovereignAI #IndustrialAI #EuropeAI #HPC

🚨 Recent news that Meta has delayed the rollout of its flagship AI model, “Behemoth,” sheds light on the complex realities of scaling AI innovations. Training and deploying massive AI models isn’t just about raw compute power, it requires robust, flexible, and scalable infrastructure that can handle massive data flows, iterative testing, and tuning without bottlenecks. While hype around AI breakthroughs is high, these technical challenges remind us that sustainable AI innovation demands a strong foundation in AI infrastructure. At cartagon.ai, we specialize in building AI factories designed to provide that foundation, empowering enterprises with infrastructure that’s scalable, secure, and compliant with EU standards. This ensures companies can innovate rapidly and reliably without getting stuck in infrastructure constraints. The “Behemoth” delay is a case study for why AI infrastructure matters as much as the algorithms themselves. We’re excited to support businesses across the EU in navigating these complexities. Read more here: https://lnkd.in/dMdCufxx #AI #ArtificialIntelligence #AIInfrastructure #ScalingAI #EUtech #TechInnovation #MachineLearning #DataScience #CloudComputing #EnterpriseAI #CartagoAI

Digital twins, empowered by artificial intelligence, are redefining the operational paradigms of AI factories by enabling real-time simulations and autonomous decision-making. A seminal article by IT Revolution elucidates their transformative role in Industry 4.0. Below are three key technical insights: 👉 https://lnkd.in/dtMr8dgA 1️⃣ High-Performance Data Pipelines: Digital twins leverage Apache Kafka-based pipelines to process IoT data streams at 10^6 events per second with sub-200 µs latency. By integrating heterogeneous data (sensors, ERP, MES) via Avro schemas, these pipelines model production lines with 95% accuracy, optimizing material flows and reducing waste by 15%. 2️⃣ Precision Predictive Maintenance: Algorithms such as XGBoost and RNNs predict equipment failures with 95% accuracy, processing 1 TB of data daily per system. For instance, General Electric’s digital twins for wind turbines achieve a 30-40% reduction in downtime and 25% maintenance cost savings (Forbes, 2025). 3️⃣ Autonomous Optimization via Reinforcement Learning: Trust Region Policy Optimization (TRPO) models dynamically adjust operational parameters, enhancing energy efficiency by 15-20% in smart factories. These models converge in <10^4 iterations, supporting real-time decision-making. These advancements underscore the potential of AI-enabled digital twins to drive efficiency and sustainability. However, challenges in data interoperability and computational scalability warrant further investigation. 💡 Question for the Community: What methodological approaches or frameworks are you employing to address data interoperability challenges in AI-enabled digital twins? Share your insights in the comments below. #ArtificialIntelligence #DigitalTwins #AIFactories #Industry40 #MachineLearning #MLOps #CyberPhysicalSystems #SmartManufacturing #DataScience #IndustrialAutomation

The European Commission has launched the AI Continent Action Plan, a bold move to make the EU a global AI leader. 📄 https://lnkd.in/dujnb3qi Key pillars: ✅ 13 AI Factories across Europe (including Spain’s MareNostrum 5), offering HPC and trusted data access. ✅ 5+ AI Gigafactories coming, with 100,000+ chips each — built for training foundation and AGI models. ✅ €200B mobilized through InvestAI to fund infrastructure, innovation and adoption. ✅ A Cloud & AI Development Act to triple data center capacity and reduce reliance on non-EU providers. ✅ Talent, regulation and support aligned to scale Europe’s AI ecosystem. 🎯 At cartagon.ai, we’re building the sovereign AI infrastructure that this plan enables — designed for enterprise AI workloads with full European compliance, performance and transparency. If you're a CXO thinking about AI deployment in Europe — now is the time to move. Infrastructure, capital and policy are converging. We’re part of that momentum. #AIinEurope #ArtificialIntelligence #AIInfrastructure #DigitalSovereignty #EuropeanInnovation #CloudSovereignty #AILeadership #CIO #CTO #CEO #EnterpriseAI #AIRegulation #TechStrategy #InvestAI #CartagonAI #HPC #DigitalTransformation #AICompliance #FutureOfAI