Optimal by Design: Architecting for Hybrid from Day One in AI and Application Development
For every new AI or application project you embark on, your initial architectural choices will determine the probability of long-term success of that effort, especially as it scales or needs to adapt to changing regulatory or business environments. This article discusses why architecting for hybrid up front puts you in the optimal position for anything that comes your way. https://blog.equinix.com/blog/2025/05/21/why-you-need-a-hybrid-first-strategy/ Do you agree? Is 'hybrid-first' truly the silver bullet for future-proofing, or are there scenarios where a pure cloud or colo/on-prem approach still makes sense? Share your perspective!Why Unified Observability Is the Future of Infrastructure Management
Today’s organizations juggle a mix of physical equipment and digital services, spanning on-premises, cloud, SaaS, and remote locations. But as IT and OT environments grow more intertwined, so do the challenges of managing them. Siloed teams, fragmented data, and reactive monitoring are holding businesses back from true operational efficiency. What if you could gain a single, unified view of all your technology assets—no matter where they reside? Imagine proactively preventing outages, streamlining operations, and boosting cost efficiency with insights from across your IT and OT environments. In one of our latest blogs, we explore: • Why the convergence of IT and OT is reshaping infrastructure management • The business benefits of a unified observability approach across OT and IT • How leading organizations are breaking down silos for better decision making 👉 Read the full blog now!Need DDI In the Cloud? Infoblox is Now on Network Edge
Hey everyone—just popping in with some exciting news for those of you building out your virtual networking environments! Infoblox NIOS DDI is now available on Equinix Network Edge 🙌 That means you now have another core piece of your networking stack—DNS, DHCP, and IP address management (IPAM)—available as a virtual networking function alongside firewalls, routers, SD-WAN, and more. What this unlocks for you? Whether you’re working across hybrid or multi-cloud environments, having your full stack available virtually means you can deploy faster, scale smarter, and keep everything centralized—all without touching hardware. Already using Infoblox on-prem? You can now extend those services to the cloud and manage everything through Network Edge. Need better automation? Infoblox helps eliminate manual IPAM tasks and streamlines network provisioning. Focused on security? Built-in Protective DNS helps block threats before they reach your network. Building for scale? Combine Infoblox with other Network Edge VNFs for a complete, cloud-ready networking solution. And yes—it’s available to deploy via the portal, APIs, or Terraform, so you can integrate it however you work best. 👉 Check out the blog post here if you want a deeper dive or to explore use cases. Would love to hear how you’re thinking about virtualizing more of your network stack—or if you’ve already started using Network Edge and want to add Infoblox into the mix. Drop your thoughts or questions below!Tell a Story About Your First Data Center Migration.
They say you never forget your first data center migration - probably because it's like herding cats during a fire drill. I'm curious - what went sideways, what saved the day, and what would you never do again? Let's hear all the chaos, drama, or pizza-fueled heroics! 🍕🎖️Fabric Cloud Connect for June 2025
Amazon Web Services (AWS) Customers can now order virtual connections with bandwidths up to 25 Gbps in the following metros: Istanbul, Turkey (IL) Lisbon, Portugal (LS) Equinix and AWS have enabled 25 Gbps (the highest hosted connection tier available) in 27 of the 41 Equinix Fabric metros with local AWS Direct Connect on-ramps. Get Started with Equinix Fabric If you'd like more information on connecting your business to the cloud, visit our service provider search tool or product documentation site for service availability, feature descriptions, and deployment considerations.Equinix + 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 >>How AI is Reshaping Forecasting and Optimization
This use case by Sanjeevan Bala, Chief Data and AI Officer of ITV, is spot on! We've all realized that AI is no longer just a buzzword—it's a game-changer for businesses looking to stay ahead of the curve. But let’s be real: scaling AI effectively is no small feat. That’s why I’m excited to share our latest video, where we tackle the pressing question: How can organizations truly scale AI? In this video, we have Sanjeevan Bala, Chief Data and AI Officer of ITV, sharing his expertise on building an AI-ready infrastructure. This is especially relevant for us at Equinix, as we’re committed to providing the robust frameworks that businesses need to unlock the full potential of AI. Sanjeev dives deep into the foundational elements that create an environment ripe for AI innovation. He addresses the real challenges organizations face when implementing AI solutions and outlines what businesses need from their infrastructure to make it all work seamlessly. One of the standout points he makes is about maintaining control over AI data. In a world where data is the new oil, ensuring governance and security is paramount. Plus, he shares practical advice for organizations gearing up for their AI journey, making this video a must-watch for anyone serious about leveraging AI for transformative growth. It's important to know that Equinix is all about empowering businesses with scalable, secure solutions. This video is a vital resource for anyone looking to navigate the complexities of AI adoption and drive innovation forward. So, whether you’re a seasoned pro or just starting to explore the AI landscape, tune in and be ready to equip yourself with the insights you need to build a resilient AI-ready infrastructure. Let’s embrace the future together!
Unlocking AI Potential: The Power of a Robust Ecosystem 🌐
Yes, we know AI is growing fast, but let’s be real—navigating this fast-paced landscape can be tricky. To truly harness the power of AI, organizations need to build a diverse ecosystem of partnerships. According to Deloitte, a staggering 83% of top-performing companies are doing just that, leveraging collaborations with data providers, AI model creators, and infrastructure experts to drive their AI strategies forward. In this latest blog co-authored by Aaron Delp (Dir. AI Tech. Solutions) and Justin Beck (Dir. Global Principal) dive into the essential elements of a successful AI ecosystem. From ensuring data readiness to selecting the right AI models and infrastructure, they cover it all. Plus, they highlight how Equinix can be your go-to platform, connecting you with a rich network of AI partners to help you stay agile in this ever-evolving landscape. By leveraging our vendor-neutral environment, you can easily adapt to changing market demands, access cutting-edge technologies, and foster the collaborations necessary for driving innovation. Whether you're just starting your AI journey, looking to enhance your existing capabilities, or just curious to learn more about future-proofing your AI strategy. Check out the full blog here: AI Ecosystems 101: Choosing Data, AI Model & AI Infrastructure ProvidersUnderstanding Sustainable Energy in the Digital Age
Just read the latest Equinix blog post on powering a sustainable future! 🌱💡 Great insights into energy innovation for the digital era. Check it out here: https://blog.equinix.com/blog/2025/04/29/powering-a-sustainable-future-energy-innovation-for-the-digital-era/?country_selector=Global%20(EN)
