Explore Private AI trends with Equinix and NVIDIA
In this Tech Talk, we'll explore the transition from AI hype to practical applications, focusing on Private AI trends, use cases, and the concept of AI Factories. Learn about deployment challenges, NVIDIA and Equinix's role in facilitating AI solutions, and essential considerations for enterprises embarking on their Private AI journey. RSVP to the Tech Talk Join experts from NVIDIA and Equinix to learn how to unlock the full potential of your AI technologies and ensure maximum return on investment. You’ll learn how to: Understand the evolution of Generative AI and the significance of AI Factories in scaling AI solutions. Identify key workloads driving demand for AI and the unique challenges enterprises face in deployment. Discover how Equinix enhances AI capabilities through connectivity and tailored solutions for AI implementations. This Tech Talk will be presented in English. Closed captioning will be available in Spanish, Portuguese, Canadian French, French, German, Italian, Japanese and Korean.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.
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 >>NVIDIA GTC Conference 2025
GTC is making a powerful return to San Jose from March 17 to 20, 2025, and you won’t want to miss it. Join thousands of developers, innovators, and business leaders as we showcase how AI and accelerated computing are boldly tackling humanity's most complex challenges. Let Equinix Help You Future Proof your AI Infrastructure Meet with us at NVIDIA GTC - Schedule a meeting! AI Conference & Expo Equinix booth #1132 Get ready for an unforgettable keynote by NVIDIA CEO Jensen Huang, along with over 500 dynamic sessions and more than 300 groundbreaking exhibits. Engage in hands-on technical training and connect with industry. Register hereAI/ML Solutions for Large-Scale Development and Deployment
Join Equinix at NVIDIA #GTC22 to hear the latest breakthroughs in AI and for our on-demand session where we’ll explore new consumption models for AI infrastructure that make it easier for enterprises to speed time-to-insight. About the Session In a recent survey, 91% of enterprise respondents indicated a preference for hybrid cloud infrastructure for AI development, and 93% said hosted/managed infrastructure services is critical to AI success. Businesses today are turning to new approaches that can simplify and expedite the process of delivering business-critical AI apps without the complexity of standing up their own infrastructure, or building out their own data centers. In this joint Equinix and NVIDIA session, we’ll explore new consumption models for AI infrastructure that make it easier for enterprises to speed time-to-insight.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
