The Shift to the Edge: Why Distributed AI is the New Enterprise Standard
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.
How Enterprises Can Prepare for Quantum Computing Security Threats
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.
Is your multicloud network scaling or just getting more complex?
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. Don't let inconsistent architecture hold back your digital transformation.
Resolute CS and Equinix Bring Equinix Fabric® to the Enterprise Edge to Help Support Next Generation Workloads
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.How Merck KGaA, Darmstadt, Germany Is Leveraging AI to Advance Scientific Discovery
Imagine accelerating the journey from raw data to life-changing discovery—that's exactly what's happening with the new high-performance data center from Merck KGaA, Darmstadt, Germany, built in collaboration with Lenovo and hosted in one of Equinix's AI-ready data centers. This powerful new platform is empowering Merck's teams to leverage Artificial Intelligence (AI) for scientific discovery and advanced analytics more effectively, ultimately accelerating the pace of innovation. FAQs: Q: What is high-performance computing (HPC)? A: High-performance computing explained: HPC refers to the use of supercomputers and parallel processing techniques to solve complex computational problems. In this video, we explore how Merck KGaA is leveraging HPC to accelerate innovation. Q: How do liquid cooling systems improve HPC performance? A: Liquid cooling systems efficiently remove heat at the source, enabling high-performance workloads to run without compromising speed or energy efficiency. Q: Why is hybrid cloud infrastructure important for innovation? A: Hybrid cloud infrastructure combines private and public cloud infrastructure, offering flexibility, scalability, and cost optimization — key factors for driving scientific breakthroughs and how AI is transforming innovation and discovery.
The Future of AI: Which Trend is Your Game- Changer?
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. Use the arrows on the right side to shift the options to cast your vote! We'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.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 NYC
