Autonomous Vehicles and The Future of Mobility
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. Discover how global infrastructure is evolving to support the next generation of autonomy. Key Highlights Edge computing enables vehicles to process and share data locally for faster, safer decisions. Low-latency connectivity determines how efficiently mission-critical computation moves between the car and the cloud. Multi-layer sensing and redundancy improve safety both inside and outside autonomous systems. Mining leads current automation efforts due to its regulated, closed environments and strong ROI. AI continues to enhance decision-making, learning and coordination across connected systems. Future autonomy will rely on open data marketplaces, adaptive energy grids and edge zones that blanket cities.
Climate NYC Recap: Powering Progress: Grid Innovation, AI, and the Next U.S. Energy Transition
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 exponential energy demand: Workload growth for AI is doubling every six months, with data centers projected to consume up to 12% of U.S. electricity in the near future. Data centers as grid assets: CW emphasized the shift from viewing data centers as “energy hogs” to recognizing their potential as contributors to grid stability. He spotlighted Equinix’s Silicon Valley site powered by solid oxide fuel cells, which generate electricity without combustion—reducing emissions and water use. Responsible AI in action: Equinix is using AI to create digital twins that optimize energy efficiency across facilities, showcasing how technology can drive sustainability. Collaboration is key: CW called for deeper partnerships across government, utilities, and tech providers to scale clean energy solutions and modernize infrastructure. Future First strategy: Equinix’s sustainability program continues to lead with a 100% clean and renewable energy target (currently at 96% globally), and active exploration of next-gen energy technologies like small modular reactors (SMRs). Check out the full video from Climate NYCExploring Private AI Trends with AI Factories for the Enterprise
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
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
