AI Chaos or AI Clarity? The Case for Centers of Excellence
As AI adoption accelerates, many enterprises are facing the same pitfalls we saw in early cloud rollouts: disconnected teams, duplicate stacks, and unpredictable costs. This latest article from the Equinix team (Kaladhar Voruganti-Senior Business Technologist & Aaron Delp-Director, AI Technical Solutions) introduces a compelling case for AI Centers of Excellence (CoEs) — not as a buzzword, but as a strategic framework to ensure: Centralized governance over AI models, data access, and security Infrastructure optimization to avoid redundant clouds and egress fees Predictable costs and low-latency performance for AI inference Alignment across functional, technical, and business teams 📌 What stood out: Equinix uniquely supports this model by providing proximity to clouds, data hubs, and private AI clusters — all while respecting global data residency and privacy needs. >> Check out the full blog here Is your organization centralizing or decentralizing AI initiatives right now? What challenges have you seen with shadow AI stacks? Where does your AI run best — cloud?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.
Powering the Future of Healthcare Through IT Solutions
In this insightful webinar, hosted by Xtelligent Healthcare and presented by Equinix, we explore the critical role of IT infrastructure in pioneering medical research involving genomics, clinical and other multimodal data. Learn how innovative technological solutions are transforming the biotech, pharma, and wider life sciences industries by improving data collection, analysis, and management processes. Key topics covered include: The impact of advanced technologies, such as burstable compute, on medical research and development in addition to GenAI and Quantum How data quality and infrastructure integration speed up scientific insights Supporting advanced computational workloads while ensuring privacy and security Learn more
What is Data Sovereignty?
In today's digital landscape, millions of terabytes of data are generated daily, all of which must be stored somewhere. But did you know that this data is also subject to the laws of the country where it's stored? This concept is known as data sovereignty. In this video, let’s learn about data sovereignty, including the General Data Protection Regulation (GDPR) in the EU and the California Consumer Privacy Act (CCPA) in the U.S, and how Equinix, with its extensive network of data centers across over 70 major metros, helps companies meet these regulatory requirements effortlessly.
