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.
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 >>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 ProvidersInside Stadler's Agile IT Infrastructure: Future-Ready IT System for Rail Transportation
Discover how Stadler partnered with Equinix to transform its IT infrastructure, enabling faster and smarter train systems. By leveraging cutting-edge technology and global connectivity, Stadler is revolutionizing the future of railway infrastructure one train at a time. Learn how Stadler enables digital transformation
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!
Are you AI-ready? Check out our Tech Talk with Dell Technologies
In our latest Equinix Tech Talk, experts from Equinix and Dell Technologies discuss the critical components of building an AI-ready, high-performance data center. Learn how modern businesses can optimize infrastructure to support advanced AI workloads and drive digital transformation. Discover why successful AI implementation depends on seamless integration between business applications and IT infrastructure and how high-performance data centers provide the foundation for scalable, secure, and efficient AI operations. Key Topics: Why building an AI-ready, high-performance data center is essential for modern businesses How private, direct cloud connections and advanced infrastructure can boost speed and security The critical role of integrating business applications with foundational IT for AI success Insights on optimizing data centers for AI-driven workloads
Generative AI Integration with LOA Processing
In this video we'll show you how we've incorporated Generative AI into the LOA Processing for a Cross Connect order. We've implemented these changes to simplify the ordering process so that you can automatically fill out the LOA document using Generative AI. We'll show you what the new screens will look like and how to edit the information if you're not satisfied with the automatic results. Head to the Equinix Customer Portal to create your next Cross Connect: https://customerportal.equinix.com/
AI Use Cases with Martin Hickey, IBM
In this video, Steve Martinelli interviews Martin Hickey, a software developer at IBM, about his experience working with open-source projects. Martin explains how he got started in open source and the benefits of collaboration within the community. He also discusses his current work in the field of AI and the potential applications of the technology. Martin shares his experiences speaking at conferences and emphasizes the importance of human interaction in technology. He concludes by highlighting the need to approach AI with caution but also recognizes its potential for positive impact.
Introducing AI to Kids - Cassandra Chin, CSU
Cassandra Chin, a college student from Colorado State University, studying computer science, discusses her book “Phippy's AI Friend” with Steve Martinelli at KubeCon Paris. The book follows the story of Kimani, a non-binary computer who faces struggles in finding their identity. The book also includes a workshop where readers can build a visual recognition model using Scratch. Cassandra has been conducting workshops since the age of 13 and enjoys making technology accessible to everyone. She will be giving a keynote at DevNexus and is also involved with the AI ML working group at CNCF, working on an AI white paper to connect AI and cloud-native development. Cassandra emphasizes the importance of creating educational content for developers to adopt AI in a meaningful way. The book is available on Amazon, with a French version also available. Cassandra’s favorite character in the book is Kimani.
