NetworkChuck: This is where Internet Lives
Imagine billions of dollars of tech, AI GPUs & LPUs, and the literal backbone of the internet, all humming along in one of the most secure buildings on Earth. We're talking about the secret sauce that makes the digital world go 'round, and NetworkChuck's taking us on an exclusive tour of Equinix DA11 & The Infomart! Be sure to share the LinkedIn post from Equinix!
AI-Ready Infrastructure: How NVIDIA Empowers Enterprise Innovation
Check out this interview with Stefan Baudy - GSI Client Director at NVIDIA, as we explore the transformative potential of Agentic AI—moving beyond chatbots to digital coworkers and autonomous agents. Learn how NVIDIA's AI Enterprise platform enables businesses to train, customize, and deploy AI models securely and efficiently. Key benefits include leveraging pre-trained models, customizing them with your corporate data and deploying them in secure, transportable containers. This ensures your intellectual property and data remain yours while maximizing AI's potential. Learn how AI-ready data centers can help your business
Interconnected Podcast: Meet the Hosts
What do agentic AI, sovereign cloud laws, and 4K TikToks have in common? They all depend on infrastructure most people never see. In this premiere episode, meet the hosts of Interconnected and explore the trends transforming how the world builds, scales, and connects. In this episode, we explore: How agentic AI moves beyond prompts to autonomous collaboration Why data sovereignty is reshaping global cloud strategies What creators need from storage, compression, and delivery systems Where the next wave of infrastructure innovation is already unfolding Meet the Hosts: Shaniel Lafayette, Solution Strategy Lead at Equinix Glenn Dekhayser, Global Principal Technologist at Equinix Kyle Hilgendorf, Senior Director of Corporate Strategy at Equinix Hear the extended podcast version on Apple or Spotify: Apple Podcasts - https://eqix.it/45dT1ey Spotify - https://eqix.it/4f1Tiob
AI is Cleared for Takeoff in Aviation – Are We Ready?
The aviation industry is seeing record demand, yet it faces a complex web of challenges — from operational costs and workforce gaps to infrastructure strain. Enter AI. A recent article by our Aviation & Transportation team (Stefan Raab & Violeta Croce) explores how AI is reshaping the skies — from predictive maintenance and passenger flow optimization to real-time threat detection and data-driven decision-making. With Equinix interconnection at the core, airlines and airports can build the digital foundation to scale these innovations securely and efficiently. >> Check out the full blog here Which AI use case in aviation do you think will scale fastest? How do you see interconnection enabling real-time analytics at the edge in your industry? What’s the biggest challenge to deploying AI-powered operations at scale? 🚀 Let’s discuss how we’re turning runway complexity into opportunity.Interconnected: A New Video and Podcast Series by Equinix
Modern life runs on technology—but what powers that technology? Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. We're diving deep into the systems behind AI, automation, quantum, and beyond. Join us as expert guests share real-world insights, pulling back the curtain on the tech behind the tech, from the data center to your device. What's one question you've always had about AI? Let us know in the comments! Want more? Hear the extended podcast version wherever you listen to podcasts. Just search Interconnected by Equinix.
AI Chaos or AI Clarity? The Case for Centers of Excellence
As AI adoption accelerates, many enterprises are facing the same pitfalls we saw in early cloud rollouts: disconnected teams, duplicate stacks, and unpredictable costs. This latest article from the Equinix team (Kaladhar Voruganti-Senior Business Technologist & Aaron Delp-Director, AI Technical Solutions) introduces a compelling case for AI Centers of Excellence (CoEs) — not as a buzzword, but as a strategic framework to ensure: Centralized governance over AI models, data access, and security Infrastructure optimization to avoid redundant clouds and egress fees Predictable costs and low-latency performance for AI inference Alignment across functional, technical, and business teams 📌 What stood out: Equinix uniquely supports this model by providing proximity to clouds, data hubs, and private AI clusters — all while respecting global data residency and privacy needs. >> Check out the full blog here Is your organization centralizing or decentralizing AI initiatives right now? What challenges have you seen with shadow AI stacks? Where does your AI run best — cloud?What really happens when you hit “Enter” on an AI prompt?
The Wall Street Journal recently followed the flow of data across cables, compute, and clouds to an Equinix AI-ready data center. ⚡ Spoiler: It takes massive power, precision, and physical infrastructure to deliver AI responses in seconds. Equinix AI-ready data centers are built for this scale — interconnecting the compute, storage, and energy systems behind the world’s most advanced AI. Read the full article here
Why Liquid Cooling Is Essential for Efficient AI-Ready Data Centers
Have you adopted liquid cooling yet? Our latest Tech Talk discusses the urgent need for cutting-edge liquid cooling technology. Hi, I'm Alex Timofeyev, senior product Marketing Manager for colocation and xScale. In this video, I'm joined by Lindsay Schulz, Global Principal Technologist at Equinix, to discuss cutting-edge liquid cooling technology.
How does Video Calling work?
With events and time with family and friends this past week, it has reminded me what is behind and powers the technology of video calls. These moments, so full of connection, are powered by something unseen. Behind every laugh and every heartfelt word is a network of technologies working together in harmony. Data centers process the exchanges, cloud services ensure no moment is lost, and IT infrastructure bridges the physical distance, making it all feel effortless. I created a video on this with a link to the blog, check it out to see: -EdEquinix + Nvidia: Building the AI Factories of the Future
Look, AI isn’t coming. It’s already here — and it’s growing fast. Not linear growth. We’re talking exponential. The kind that breaks things. AI workloads are now so intense they’re overwhelming the networks, data centers, and power grids we built for a different era. The old infrastructure? It’s like trying to power a space launch with a car battery. Just doesn’t work. That’s why Equinix and NVIDIA are working together to rethink how we build and scale the physical backbone of AI. We’re not talking about incremental upgrades. This is about building AI factories — purpose-built, energy-efficient, high-performance, globally distributed systems that can actually keep up. Here's 3 principles to get us there: First: Everything starts with data. No data, no intelligence. And moving massive volumes of data — fast — requires serious interconnection. Equinix just happens to sit at the core of that. Clouds, enterprises, AI services — they all plug in here. That kind of neutral ground is critical when the entire AI ecosystem is converging. Second: Latency matters. A lot. AI inference is becoming incredibly time-sensitive. Location is crucial. With presence in 73 metros worldwide, Equinix lets you put compute where the data is and where the users are — edge, core, whatever. This isn’t a nice-to-have; it’s fundamental to real-time AI. Third: Trust. Enterprises don’t want black boxes. They want control over their AI environments — the data, the models, the infrastructure. That’s where private AI with NVIDIA DGX comes in. Combine that with Blackwell and you get 30x more energy efficiency and 35x better AI performance. Which is, frankly, insane. Now layer on Equinix’s work in liquid cooling — which is cool, literally — and the push to 100% renewable energy across their entire footprint? We’re not just scaling AI. We’re making it sustainable. Bottom line: AI is the next industrial revolution. But revolutions don’t run on yesterday’s infrastructure. They need something new. And fast. That’s what we’re building. Together. Want to see how it all comes together? Watch how Equinix and Nvidia together are building what's actually needed for the AI era. Check out this full video >>
