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We’re rolling out a major update designed to give you more control, deeper visibility, and fewer infrastructure headaches. We’ve officially added a dedicated 30 GB local logging storage allocation directly to your Fortinet (FTNT) firewalls. This means your device now has a massive, built-in buffer to retain traffic logs, threat logs, event logs, and policy violation records completely on-device.Fortinet Virtual FirewallWhy this matters for you?If you've ever had to hunt down a network issue or investigate a security alert, you know that getting to your logs quickly is everything. In the past, relying solely on external syslog servers or SIEM forwarding could sometimes mean dealing with latency, complex setups, or even temporary gaps in data.By bringing 30 GB of storage directly to the firewall, we're eliminating those hurdles.What you get:Instant Troubleshooting: Access historical log data right from the device the second you need it. No more waiting on external queries. Sharper Forens

 Hey — Ed here 👋Quick question: tired of wrestling with jittery VPNs over the public internet for your hybrid multicloud? Me too. In this short Tech Talk, Ted and I walk through a real-world playbook that ditched public-VPN pain and delivered a global enterprise with predictable, low-latency connectivity via private interconnection. Why it works (TL;DR):Private connectivity (not VPN over internet) = consistent latency and no jitter Colocation = cloud-adjacent performance for latency-sensitive apps like SAP Equinix Fabric + Fabric Cloud Router = multi-cloud routing at scale (10–50Gbps+) Real result: one customer self-deployed FCR in 2 weeks — zero dramaWant the reference design? Download it hereTell me — what’s the biggest networking headache you’re trying to solve right now? Drop a comment or reply — I read them all.— Ed 

Navigating the world of cloud computing often feels like trying to bridge several different islands. You’ve got your private data centers, your AWS instances, your Azure workloads, and maybe some Google Cloud services—all running on their own logic.In our latest video (Part 2 of our Tech Talk series!), we go beyond the "why" and dive deep into the how. We’re talking about the actual architecture required to make these disparate environments feel like one seamless, fail-safe network.Missed part one? Check it out here. 

The AI conversation is changing. We’ve moved past the "massive model training" phase and into the era of production-scale inferencing. But as data becomes more distributed, how do you scale without hitting a wall of latency, cost, and security risks? In this latest Cube Conversation, DD Dasgupta (VP of Product Marketing at Equinix) joins Bob Laliberte to break down the roadmap for the modern AI architecture. Key Highlights: Equinix Distributed AI Hub: A neutral framework connecting neoclouds, hyperscalers, and thousands of partners. Three Tiers of Sovereignty: Granular control over data, network, and AI models. Distributed Security: Insights on the Palo Alto Networks partnership to enforce security at the edge. Speed to Market: Leveraging 280 data centers to deploy AI capacity in days, not months. Watch to learn how hyper-specialized infrastructure and edge-first logic are providing the roadmap for scalable, secure enterprise AI.  

As quantum computing moves from research labs into the enterprise, it introduces a critical threat to current public key encryption through "harvest now, decrypt later" attacks. In this episode of Interconnected, experts from Equinix and Accenture discuss how to navigate this transition by building a quantum-safe security roadmap and embracing crypto-agility. You’ll learn how to protect critical infrastructure—from power grids to cloud platforms—by modernizing your security posture today. Watch the full video to discover how to future-proof your digital infrastructure against the quantum reality.  

Most enterprises hit a wall when they try to scale hybrid cloud using public internet or siloed designs. The result? Inconsistent performance and security blind spots.In our latest Tech Talk session, we break down:The Complexity Trap: Why fragmented connectivity fails at scale. Predictable Performance: How to move away from the unpredictability of the public internet. Standardization: The roadmap to a future-ready network foundation. 

Interconnection is the invisible engine of the digital economy, enabling the exchange of information between systems, clouds, networks, partners, and users. At its core, interconnection means connecting two or more parties together so data can move between them. Yet the term is too often used only to describe private, direct links that bypass the public internet. While private connectivity is essential and the preferred option for business-critical traffic, this limited view doesn't reflect how enterprises operate in a highly distributed, cloud-first world.  Today’s digital infrastructure spans multiple public clouds, SaaS platforms, partner ecosystems, and edge locations. Users connect from anywhere. In this environment, no single connectivity model meets every need. Some workloads demand tightly controlled, predictable performance. Others require broad reach and flexible access. In practice, interconnection encompasses both private and public connectivity working together, with

Think quantum is still "years away"? Think again. In our latest episode of Interconnected, we explore why the risk of being too late to quantum computing now outweighs the risk of being too early. What’s inside:Strategic Risk: Why quantum is now a business imperative, not a research project. Getting Started: How to use pilots and cloud-based access to build a "quantum-ready" team. Expert Perspectives: Insights from Nobel Prize-winning physicists on the future of enterprise architecture.Don't wait for full commercialization to start your strategy. Watch the episode to learn how to evaluate quantum readiness today. 

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.

For too long, the "edge connectivity gap" has slowed down digital transformation, but a new collaboration is finally breaking that barrier. By integrating Resolute NEXUS™ with Equinix Fabric®, enterprises can now automate the design, pricing, and ordering of global last-mile access directly through the Equinix portal. This move effectively unifies the cloud-to-edge experience, providing the high-performance, distributed infrastructure needed for next-generation AI workloads.  To see how this partnership is simplifying private access to thousands of network providers across 180 countries, read the full press release here.

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

Ever wonder where the "cloud" actually is? Manual do Mundo teamed up with Equinix to physically visit it! We went inside a gigantic Data Center—the digital cloud—where your videos, messages, and all your online content are stored. 

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

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

Ever wonder how the digital asset world is really evolving? Our newest Interconnected video delves into how finance is evolving from an institution-led system to one defined by code, connectivity, and cryptographic trust. This episode examines how infrastructure, policy, and design are converging to make decentralized finance viable at scale. In this episode, we cover:Centralized vs. Decentralized Exchanges: Guests compare security, custody, and latency across both models and highlight emerging hybrids that blend institutional oversight with decentralized rails. Stablecoin Infrastructure: Discussion centers on the U.S. GENIUS Act and its framework for reserves, transparency, and compliance, setting the stage for stablecoins as regulated digital dollars. Bridges and Interoperability: Cross-chain networks like Wormhole enable digital assets to move safely between ecosystems, demanding high-throughput interconnects and resilient validator networks. On-Chain Privacy and Verification: Techn

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   

In this video, Daniel Roux - CTO of Louis Vuitton tells us the shared mission of Louis Vuitton and Equinix to support sustainability goals through advanced digital solutions, including AI-driven innovations and 100% clean and renewable energy coverage.Discover how LV Neo, the tech arm of Louis Vuitton, is leveraging Equinix’s IT solutions to reduce its carbon footprint while maintaining reliability, security and innovation. This partnership demonstrates how luxury brands can lead the way in adopting technology solutions committed to sustainability without compromising on performance or security.Learn more about Equinix's Future First commitment to sustainability

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

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!    

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