From Transistors to Cloud: The Evolution of Technology

📈 AI Clusters Are Powering Explosive Growth in the Optical Module Market — 2025 Growth to Exceed 30%! According to LightCounting’s latest report on cloud data center optics, massive investments by cloud companies in data centers and network infrastructure are driving unprecedented demand for optical interconnects. Between 2023 and 2025, AI-related optical module sales are expected to surge over 30%, fueled by large-scale AI deployments and bandwidth-hungry applications. From LPO to CPO architectures, AI workloads are redefining what high-speed, high-reliability connectivity means. As data centers race toward scalability and efficiency, Co-Packaged Optics (CPO) is emerging as the key enabler for next-generation AI networks — combining performance, density, and energy efficiency like never before. At ADTEK, we’re committed to advancing the photonic interconnects that make this transformation possible. The AI era runs on light — and we’re building the connections that power it. ⚡ #ADTEK #CPO #AIInfrastructure #OpticalModules #Photonics #Datacenter #LPO #LightCounting #AIConnectivity

The Grid is Going Intelligent. The Network is Becoming the Data Center. At HYPERSCALE LIVE next October (2026) in Lisbon, we’re not just talking about data centers — we’re talking about redefining the grid itself. This week, Nokia and NVIDIA made it official: a $1 billion strategic alliance to transform telco networks into AI-powered compute fabrics. AI-RAN isn’t just an upgrade to mobile infrastructure. It’s a blueprint for AI at the edge, where the network becomes the data center — embedding GPU power, running inference in real time, and processing data directly where it’s created. And they’re not doing it alone. T-Mobile, Dell, and a global roster of cloud-native telecoms are jumping in — because whoever owns the AI grid, owns the next economy. What it means for the AI Infrastructure community: 5G to 6G is no longer about speed — it’s about distributed intelligence Telcos are the new hyperscalers — and they’re bringing edge real estate, bandwidth, and population coverage to the AI game Cloud meets carrier — and the result is a planet-wide AI mesh At HYPERSCALE LIVE 2026, we’ll be diving deep into this convergence: “Mobiles & The Distributed Grid” → October 21, Lisbon If you're building in the AI infrastructure space — power, compute, edge, subsea, sovereign cloud — this isn’t just a conversation you should be part of. It’s the only one that matters. 🔗 Register interest or inquire about exhibition opportunities: https://lnkd.in/g8SVaUAH 📍 Lisbon, Portugal 📅 October 21–22, 2026 #HyperscaleLive #AIInfrastructure #DistributedAI #AICloud #Nokia #NVIDIA #TelcoAI #AIRAN #EdgeCompute #SubseaCables #DataCenters #SinesPortugal #6G #AIGrid

AI is moving out of the cloud and into your pocket. Qualcomm’s new AI200 and AI250 chips signal a major shift in the AI ecosystem. Instead of relying on massive cloud GPUs for inference, these processors are built to run AI models directly where data is created — on the edge. Each rack of 72 chips acts like a mini data center, using Qualcomm’s Hexagon architecture to deliver high-performance computing with far greater energy efficiency. The result: AI that is faster, cheaper, and far more distributed. This could redefine how we think about smart devices and industrial automation. From factory sensors to self-driving cars, intelligence is no longer centralized — it’s embedded everywhere. The future of AI will not be owned by the biggest data centers, but by the smartest edges. How do you see decentralized AI changing your industry’s infrastructure strategy? #AI #EdgeComputing #Semiconductors #Qualcomm #FutureOfWork #TechInnovation

This week, the Hazy Research lab at Stanford University published findings indicating AI is quickly moving from an era dominated by large models running in data centers, to one where smaller, efficient models run locally on devices like laptops and phones. In their testing, which included IBM’s Granite 4.0 models, they found that smaller, compact models can handle over 88.7% of typical queries, reducing energy costs and latency by avoiding cloud routing. Hardware advances are accelerating local performance, closing the gap with cloud systems. Our Granite models, including Granite-4.0-H-Micro, exemplify this trend by enabling powerful AI on edge devices. This evolution promises more sustainable, accessible AI for everyday use, even in bandwidth-limited environments: https://ibm.co/6045BMpav Build with Granite on Hugging Face here: https://ibm.co/6046BMpaa Full report from Stanford Artificial Intelligence Laboratory (SAIL) here: https://ibm.co/6047BMpax

Our pre-engineered building blocks are engineered for gigawatt-scale AI factory plans, ensuring flexibility and scalability for the next generation of compute. Vertiv™ is leading the way in shaping the future of AI factories. Through our Vertiv™ OneCore reference designs, we provide a framework for scaling AI factory clusters from tens of megawatts to gigawatt scale. These designs take a holistic view—covering power, cooling, and infrastructure—while enabling rapid deployment and future-proof growth. All of this is powered by Vertiv™ OneCore. Connect with us to explore how we can help shape your AI factory vision. #AI #DataCenters #Infrastructure #NVIDIA #VertivOneCore #Innovation #DigitalTransformation

𝗛𝗼𝘄 𝗗𝗼𝗲𝘀 𝗜𝗻𝘁𝗲𝗹 𝗖𝗼𝗿𝗲 𝗨𝗹𝘁𝗿𝗮 𝗕𝗿𝗶𝗻𝗴 𝗔𝗜 𝗔𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝘁𝗼 𝘁𝗵𝗲 𝗘𝗱𝗴𝗲?  AI workloads are no longer staying in the cloud. Real-time analytics, vision inspection, and intelligent automation now need to happen right at the edge, close to where data is created. In our latest blog, we break down: ✅ How Intel® Core™ Ultra processors bring built-in AI acceleration to edge computing through Intel® AI Boost and Intel® Edge AI Suites. ✅ How Premio’s BCO-500-MTL Series transforms this technology into a compact, fanless industrial solution for low-latency AI workloads at the edge. Read full blog: https://lnkd.in/gq6HSG3X

🌐 Deutsche Telekom + NVIDIA: A Strategic Leap into AI Cloud Services Big news in the AI and telecom space: Deutsche Telekom is teaming up with NVIDIA to launch advanced AI cloud services by Q1 2026. This partnership aims to bring cutting-edge AI capabilities directly to consumers and enterprises across Europe, leveraging NVIDIA’s powerful GPU infrastructure and Deutsche Telekom’s robust network. This move signals a major shift in how telcos are evolving—from connectivity providers to digital service platforms. With AI workloads growing exponentially, cloud-native infrastructure and edge computing are becoming essential. 📡 The future of telecom is intelligent, distributed, and AI-powered. Deutsche Telekom’s collaboration with NVIDIA is a bold step toward that future. #AI #CloudComputing #TelecomInnovation #NVIDIA #DeutscheTelekom #EdgeAI #DigitalTransformation #LinkedInTech

Our pre-engineered building blocks are engineered for gigawatt-scale AI factory plans, ensuring flexibility and scalability for the next generation of compute. Vertiv™ is leading the way in shaping the future of AI factories. Through our Vertiv™ OneCore reference designs, we provide a framework for scaling AI factory clusters from tens of megawatts to gigawatt scale. These designs take a holistic view covering power, cooling, and infrastructure while enabling rapid deployment and future-proof growth. All of this is powered by Vertiv™ OneCore. Connect with us to explore how we can help shape your AI factory vision. #AI #DataCenters #Infrastructure #NVIDIA #VertivOneCore #Innovation #DigitalTransformation

As intelligence moves closer to the edge - into devices, sensors, and chips hardware becomes the new frontier of security. At SecureShe, we envision a world where: ⚙️ AI models run on secure silicon, not just cloud servers. 🔒 Every hardware component becomes self-aware and tamper-resistant. 🧠 Agentic AI systems make decisions safely, guided by embedded trust. This is where AI, hardware, and security truly converge not as separate layers, but as one intelligent, trusted fabric. The question ahead isn’t how powerful AI can get. It’s how securely it can think. #SecureShe #AI #HardwareSecurity #TrustedIntelligence #Innovation #NextGenAI #EdgeComputing