Exploring Private AI Trends with AI Factories for the Enterprise
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
AI-Ready Infrastructure: How NVIDIA Empowers Enterprise Innovation
Check out this interview with Stefan Baudy - GSI Client Director at NVIDIA, as we explore the transformative potential of Agentic AI—moving beyond chatbots to digital coworkers and autonomous agents. Learn how NVIDIA's AI Enterprise platform enables businesses to train, customize, and deploy AI models securely and efficiently. Key benefits include leveraging pre-trained models, customizing them with your corporate data and deploying them in secure, transportable containers. This ensures your intellectual property and data remain yours while maximizing AI's potential. Learn how AI-ready data centers can help your business
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 >>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
