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 >>Hybrid AI at scale with NVIDIA and Equinix
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 Private AI with NVIDIA DGX Questions & Answers
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.Equinix Announces Fully Managed Service for NVIDIA DGX AI Supercomputing
Equinix, Inc. has launched a new fully managed private cloud service in collaboration with NVIDIA, aimed at providing enterprises with easy access to NVIDIA DGX AI supercomputing infrastructure. This service, available globally, is designed to enhance the development and management of custom generative AI models, offering robust infrastructure, high-speed network access, and enterprise-grade support. For a more detailed insight into this groundbreaking service, review the full press-release Learn more about Equinix's fully managed service for NVIDIA DGX AI Supercomputing
