NVIDIA GTC 2026
The GTC AI conference returns to San Jose, CA on March 16–19, 2026. Get ready for an unforgettable keynote by NVIDIA CEO, along with over 500 dynamic sessions and more than 300 groundbreaking exhibits. Engage in hands-on technical training and connect with industry. Get notified when registration opensEquinix Engage Houston
Houston has always been a hub of energy and innovation, and now it stands at the forefront of the AI movement. From healthcare to energy, finance to retail, AI is redefining how we live, work and do business. RSVP to attend here Join us at Equinix Engage Houston, where business leaders at every stage of their AI journey will come together to explore the possibilities for embracing AI. Featured Speakers Mike Campbell, Chief Sales Officer, Equinix Robin Braun, VP, AI Business Development, Hybrid Cloud, HPE Chris Campbell, Sr. Director - AI Solutions - AIaaS/GPUaaS, Facilities & Infrastructure, WWT D.R. Carlson, Director, Segment Marketing: Americas, Equinix Franklin Foster, Field Development Manager, Equinix William Vick, Global Director, AI Factory, Technical Sales & Strategy, NVIDIANVIDIA GTC Washington, D.C.
Get ready to immerse yourself in the world-changing breakthroughs of Artificial Intelligence and accelerated computing at NVIDIA GTC Washington, D.C. 2025! This is the premier AI conference, bringing together developers, industry leaders, and innovators from across the public and private sectors to explore the latest discoveries and learn through expert sessions and hands-on training. Join Equinix at Nvidia GTC DC for our session, "Accelerating AI to Support U.S. Public Sector Missions." In our session, you'll learn how Equinix is helping government adapt to rapid changes in technology, ensuring they deliver faster, smarter, and more secure services. You'll learn about key factors shaping government IT strategies, discover impactful AI trends, and gain insights on modernizing in the AI era. Learn more here: https://eqix.it/3KzboCYExploring 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
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.
