AI Meets Nature: Accelerating Drug Discovery with Data Gravity
Did you know - Singapore-based Nanyang Biologics is using AI to unlock the therapeutic potential of natural compounds — and they’re doing it 68% faster and at a fraction of the cost. Powered by Equinix AI-ready data centers and global digital infrastructure, they’ve built a Drug-Target Interaction Graph Neural Network (DTIGN) to screen over a billion natural compounds and accelerate early-stage drug development. 90% reduction in R&D infrastructure costs 68% acceleration in discovery timelines 27% improvement in bioactivity prediction accuracy Low-latency data access via Equinix Fabric and NVIDIA/HPE-powered environments Crazy how the line is blurring between biotech and infrastructure - we’re seeing data gravity and interconnection emerge as critical enablers of innovation — even in traditionally lab-heavy fields. How is your industry leveraging AI to speed up discovery or innovation? What role does data proximity play in your AI workloads? Is the next big biotech breakthrough going to come from infrastructure? Let’s talk AI, science, and speed — and what it takes to move from hypothesis to health impact.
Microsoft Ignite 2025
Get the edge you need to drive impact in the era of AI. Join us to bolster your knowledge, build connections, and explore emerging technologies. Register to attend here. San Francisco, Moscone Center November 18–21, 2025 (optional pre-day November 17) Online November 18–20, 2025What 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 Engage Stockholm
Experience Equinix Engage Stockholm where we bring people together – leaders, innovators and doers – to talk about what's really needed to make AI work for Sweden. RSVP to attend Equinix Engage Stockholm Together with our partners DELL and NVIDIA we will share real stories, real uses cases and real challenges during a dynamic panel discussion. After the panel, enjoy the networking opportunities to connect with peers, share ideas, and maybe even spark new collaborations. Featured Speakers Regina Dahlström, Managing Director, Equinix Sweden Isabella Holmberg, Partner Manager at NVIDIA Hanna Widenberg,AI Strategy & Digital Transformation at Dell TechnologiesEquinix Engage Johannesburg
Globally, and in South Africa, enterprise and financial services organizations are making significant investments in AI to drive business success. Achieving this success requires key shifts from legacy to an AI-ready mindset, encompassing both business strategies and infrastructure transformation. Come to Equinix Engage in Johannesburg on October 7, 2025 to hear from visionary leaders as they share actionable strategies to unlock the business value of AI, offering insights from both end-user organizations and AI infrastructure service providers. Click here to RSVP to Engage Johannesburg Featured Speakers: Sandile Dube, Managing Director, Equinix South AfricaOptimal by Design: Architecting for Hybrid from Day One in AI and Application Development
For every new AI or application project you embark on, your initial architectural choices will determine the probability of long-term success of that effort, especially as it scales or needs to adapt to changing regulatory or business environments. This article discusses why architecting for hybrid up front puts you in the optimal position for anything that comes your way. https://blog.equinix.com/blog/2025/05/21/why-you-need-a-hybrid-first-strategy/ Do you agree? Is 'hybrid-first' truly the silver bullet for future-proofing, or are there scenarios where a pure cloud or colo/on-prem approach still makes sense? Share your perspective!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 ProvidersEquinix Engage Los Angeles
Join Us To Discuss The Future Of enterprise AI. At Equinix Engage in Los Angeles, you'll hear first-hand from leaders who have successfully transformed their approach to critical infrastructure, shifting IT from a cost-cutting measure to a revenue-generating asset. Click here to RSVP to Equinix Engage - LA
