AI Readiness

Are you an AI skeptic or an enthusiast? I recently sat down with Ethan Banks and Drew Conry-Murray to dig into the reality of AI within the network—moving past the hype to talk about real-world implementation.In this episode, we dive deep into the evolving architecture of Equinix Fabric. We discuss why APIs are becoming the "new CLI" and why deep observability is no longer optional in an AI-driven environment. I also share how we’re leveraging the Model Context Protocol (MCP) to shift AI from simply giving advice to actively executing tasks on your behalf.Whether you are building a global WAN or curious about how Equinix uses AI internally to sharpen our own operations, I’d love for you to give it a listen.

The Internet is a network of networks. And it’s the connections between these networks that can transform a local business into a global enterprise. From the early days of the Internet,Equinix has been one of the primary places where these connections happen. Equinix has made nearly half a million interconnections between the 10,000 companies using its 270 data centers around the world, making it a key player in the growth of colocation services and cloud computing.How is Equinix positioned for the AI boom? In the latest Data Center Richness interview, host Rich Miller sits down with DD Dasgupta, VP of Product Marketing at Equinix, to discuss the "Equinix 3.0 Vision."; 

Ready to see how the gaming industry is building the future of the internet? In the latest episode of Interconnected, hosts Shaneil Lafayette and Thomas Gould sit down with industry heavyweights Royal O’Brien (CEO of Expanxia) and Wesley Kuo (CEO of Ubitus) to discuss why gaming is actually the most important R&D engine in tech history. The discussion also dives into AI and the future of gaming, including AI-driven game creation, AI in game design and how AI works in games to power world simulation, personalization and dynamic storytelling. From AI for quality assurance in gaming to autonomous content generation, AI in the gaming industry is reshaping how games are built, tested and experienced. Listen to the extended podcast version on Apple or Spotify:Apple Podcasts: https://eqix.it/3XsaMCtSpotify: https://eqix.it/48fqarV

Autonomous technology is no longer a futuristic dream; it's rapidly becoming our reality. From robotaxis navigating city streets to drones delivering packages, machines are taking the wheel – and the skies – to move people and goods with unprecedented efficiency. But what truly powers every safe and reliable autonomous journey? It's the invisible digital systems working tirelessly behind the scenes. In the latest episode of Interconnected, join hosts Glenn Dekhayser and Simon Lockington as they delve into this crucial topic with MIT Research Scientist Bryan Reimer and Equinix VP of Market Development Petrina Steele. Whether it’s AI autonomous cars navigating city streets or yard automation powering global ports, every safe mile depends on robust digital infrastructure—edge compute for real-time reasoning, low-latency connectivity and resilient data networks.  Key Highlights Edge computing enables vehicles to process and share data locally for faster, safer decisions. Low-latency connec

The promise of Artificial Intelligence (AI) is clear: groundbreaking efficiency, new revenue streams, and a decisive competitive edge.But for you, the IT leader, the reality often looks a little different.You’ve moved past the initial proofs of concept. Now, as you attempt to scale AI across your global enterprise, the conversation shifts from innovation to infrastructure friction. You’re hitting walls built from unpredictable data egress fees, daunting data residency mandates, and the sheer, exhausting complexity of unifying multicloud, on-prem, and edge environments.The network that was fine for basic cloud adoption is now a liability—a bottleneck that drains budget and slows down the very models designed to accelerate your business.I'm Ted, and as an Equinix Expert and Global Principal Technologist here at Equinix, I speak with IT leaders every day who are grappling with these exact challenges. They want to know:What are the hidden costs when training AI across multiple clouds? How

AI is transforming everything, from how we work to how we discover new things. But what part of that change is truly capturing your imagination? We've put together a quick poll to find out which AI trend you're most excited about. Equinix Community - AI Poll – Fill out formWe're constantly exploring the next big breakthroughs in technology to shorten your path to innovation and growth. Share your inputs and let’s shape a powerful future, together. 

You're adopting AI at a breathtaking pace, and for good reason—it’s changing everything from personalized customer experiences to operational efficiency. But as you scale those exciting new workloads, have you stopped to think about the energy they consume?That was a central theme at Climate Week NYC, where our Equinix VP of Sustainability, Christopher Wellise, joined other industry leaders to discuss a critical, emerging truth: The rapid growth of AI and data centers is fundamentally reshaping the U.S. energy landscape, and the solutions are a lot smarter than you might think. “AI and data center growth are reshaping the energy landscape," said Christopher Wellise. "At Equinix, we’re committed to powering progress responsibly—through innovation, collaboration, and a future-first mindset.”Here’s a breakdown of the key takeaways from a customer perspective, focusing on what this means for your business continuity, sustainability goals, and future infrastructure planning.AI is driving ex

How can enterprises innovate faster with AI while protecting their most sensitive data? The answer lies in Private AI and dedicated AI Factories.In this Tech Talk, you'll learn:How to move beyond AI "experimentation" to practical business application The difference between Retrieval Augmented Generation (RAG) and model fine-tuning Why infrastructure modernization (power, cooling, and connectivity) is the critical constraint in today's AI race   

Food security in the 21st century goes beyond farmland or stronger crops, it now will also rely on real-time data, AI-enabled insights, and smarter distribution networks.In this episode of Interconnected, hosts Kyle Hilgendorf and Christina Spinney are joined by global agrifood CEO and founder Christine Gould to explore how the world’s most essential industry is being transformed by digital infrastructure.Listen to the extended podcast version on Apple or Spotify:Apple Podcasts: https://eqix.it/3VootkKSpotify: https://eqix.it/4nDufesDive deeper and learn more about the edge inferencing strategy required to support the growth in AI agents with this IDC analyst report

Can AI help prevent cancer, Alzheimer’s, and heart disease before they even begin? In this episode of Interconnected, world-renowned physician, scientist, and author Dr. Eric Topol shares the vision for a proactive, AI-powered future of medicine—where personal health data guides better decisions long before symptoms show up. Then, decentralized tech visionary Jim Nasr joins the hosts to explore the infrastructure challenges of scaling AI in healthcare—and why decentralization might be the answer.Listen to the extended podcast version on Apple or Spotify:Apple Podcasts: https://eqix.it/45R3cVJSpotify: https://eqix.it/4mwoL54 

When the AI hype dies down, what really matters? In this exclusive interview with Paul Brook - EMEA Director and Data Centric Workloads Specialist at Dell Technologies, we explore the real-world impact of AI on business transformation, focusing on customer-first approaches that deliver measurable results.Learn more about creating scalable, efficient AI solutions

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.

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 hereIs your organization centralizing or decentralizing AI initiatives right now?Wh

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

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 fos

Where would you place your organization on AI adoption, from initial exploration to mature implementation and optimization? We’d love to hear your story and journey. Share below in the comments.

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

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.  

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.  

In this short Tech Talk, join the industry leaders to unravel the transformative power of bridging physical and digital landscapes.Highlights:Explore the imperative role of distributed AI in the ever-evolving enterprise landscape. Gain insights into seamlessly integrating AI data flow from edge to core to cloud through rich ecosystem partners. Learn how to design and implement cloud-adjacent hybrid AI solutions with NVIDIA at Equinix on a global scale. Discover strategies to break down internal and external silos with MLOps, fostering collaboration across departments and ecosystem partners.  

Equinix's Charles Meyers appeared on CNBC Worldwide Exchange this morning to discuss how DigitalTransformation, cloud, and AI are continuing to drive data center demand. Watch the full interview here: 

Jon Lin, Equinix EVP and General Manager of Data Center Services & Matt Hull, NVIDIA VP Global AI Solutions answers some questions about our recent announced collaboration. Equinix Private AI with NVIDIA DGX is a fully managed private cloud service that enables enterprises to easily acquire and manage their own NVIDIA DGX AI supercomputing infrastructure for building and running custom generative AI models.  

How far does large language modeling need to go before we consider marrying an AI?In part 2 of our 3-part series on our relationship with AI, we explore how Large Language Models can be shaped to mimic the qualities of a human personality, and the implications that come with it.We are joined again by James Vlahos of Embodied, who sheds insight on why creating personas with AI and LLMs is like directing actors in a play, but a play that does not involve thinking or motivation the way we believe it to mean.The question is, however, if your chatbot can sound like a person, does that mean it can be a fulfilling substitute for the people in your life? Or do we need to recognize that a product is a product, regardless of its ability to convince you it’s not? 

Since the dawn of the Industrial Revolution, people have humanized technology. We name our cars, or we talk to our phone batteries and beg them not to die on us. However, perhaps no other technology has triggered our emotions quite as intensely as AI. The truth is, we interact with AI in a way we don’t with any other tech: a way that’s more immediate, more personal…more human.The question is, why do we feel this way? In fact, why do we have feelings at all about AI?In this Traceroute two-parter, we go to couples counseling with AI and take a deeper look at this unique relationship. In part one, we explore the good side of our feelings. We talk with JD Ambati of EverestLabs, a company using AI to reduce thousands of tons of CO2e emissions, and we meet James Vlahos, the scientist giving voice to “Moxie,” an AI robot that teaches kids how to express their feelings and have deeper emotional connections. If AI can indeed solve problems and create emotional bonds, surely it would never try t