Equinix

AI is scaling from pilots to production, and the real question is where inference runs. At Equinix Horizon, Bruce Owen sits down with Vipul Ved Prakash (Co-Founder & CEO, Together AI) and Raj Mirpuri (VP of Global AI Clouds and Infrastructure Ecosystems, NVIDIA) to break down distributed AI inference and the launch of Equinix® Inference Exchange. They cover: 🌐 Distributed inference 💰 Cutting inference costs and improving token efficiency 🔒 Security, compliance and sovereignty considerations Discover more from Equinix Horizon: https://eqix.it/3VaeUZT

The flashiest GPU won't set your AI strategy apart. The harness will. Running on CPUs, it orchestrates your agents, adds observability and pulls better results from the same models. That's where business value actually lives. Benjamin Jenkins and Charlie Lane, CISSP explain how to buy AI hardware that keeps its options open: https://eqix.it/4rqKO0h

Public internet routing means unpredictable latency, and inference workloads pay the price. Put compute near your data and route it privately for performance you can actually count on. Ted Kawka, Global Principal, and Nicholas Hollings, Director, Global Principals (APAC & EMEA), explain why: https://eqix.it/4dgbOtq

Digital sovereignty isn't a product you buy. It's control you design for. Across Australia, the UK and Brazil, 3 organizations kept data under local control using geo-bound routing built for their own rules. Matthias Guenther and Ana Maria Ordonez breaks down all three use cases. 🔗 https://eqix.it/4yvebAE

Every new cloud, AI provider or partner used to mean another connection to design and manage. Any-to-any connectivity changes that: define the outcomes you need, and let the network compose itself. See from Karthik Ramaswamy how Equinix Fabric One™ keeps growing ecosystems simple. https://eqix.it/4gZVFtk

Every AI strategy hits the same question: not just which model to run, but where to run it. Placement drives cost, latency and sovereignty just as much as your model choice does. Paul Dehnert, VP of Interconnection & Emerging Solutions, explains why inference belongs close to your data and users, and how Equinix® Inference Exchange makes that possible. 📍 Read it: https://eqix.it/4r5dbRv

Equinix Horizon 2026 kept circling 1 idea: AI can live everywhere, but its value shows up only when it connects well. 2 products, 1 job: 🔗 Equinix Fabric One™ handles the routing automatically 📍 Equinix® Inference Exchange supports seamless deployment of AI models across diverse environments Read the recap: https://eqix.it/4gTKdz7

Last week, I had a blast at 1st Equinix Horizon. Sat down with Paul Dehnert, Vice President of Sales, Interconnection & Emerging Solutions at Equinix on The Ravit Show. He runs the global sales team behind Equinix's interconnection portfolio, the internal wiring inside data centers that quietly makes up the network of networks we call the internet. Sharing the takeaways while they are fresh. The theme running through this entire event is open neutrality, and Paul connected that directly to what is happening in AI and inference right now. Together AI is bringing its inference platform onto Equinix to make open source models easier to run. Some hyperscalers are rolling out new interconnection capabilities on Fabric One that let developers connect directly using natural language instead of manual network configuration. The line that stood out to me most was about enterprise spend. A lot of companies burned through their token budgets earlier this year and are now actively optimizing. Paul's read is that enterprises are getting more mature about this. They are realizing they do not need the frontier model for every use case. The real skill now is picking the right venue and the right model for the job, not defaulting to the biggest one available. That is a quieter shift than the big keynote announcements, but it might matter just as much for how enterprise AI actually gets budgeted and run. More conversations from the summit floor coming soon. #equinix #equinixhorizon #ai #interconnection #enterpriseai #cloud #digitalinfrastructure #openneutrality #theravitshow

AI inference is putting more focus on where infrastructure is located. In a new story, CNBC looks at how Equinix’s presence in major metros puts infrastructure closer to users, data and the businesses running AI workloads. The article also covers Equinix Inference Exchange, announced this week with NVIDIA and Together AI. Read the article : https://eqix.it/4632TI0

Great conversation from Equinix Horizon, this time with Kaladhar Voruganti, VP and Senior Technologist on the Global Value Advisory Team at Equinix on The Ravit Show. He runs field CTOs and 20 global solution validation centers, basically AI labs where customers and partners go to test what actually works. Sharing the takeaways while they are fresh. Most enterprises are not chasing exotic AI use cases. Coding, customer support, and employee productivity are where the real adoption is happening right now. And the architecture pattern Cal is seeing repeatedly is hybrid. Big cloud models for the hard problems, open models on private infrastructure at Equinix for everything else, mainly for cost and control. The part that stuck with me was how enterprises are managing AI spend and governance. AI gateways act as traffic routers, sending simple queries to simpler models and complex ones to the cloud. Semantic caching alone is knocking out 20 to 60 percent of redundant queries before they ever hit a model. And AI firewalls are showing up at neutral interconnection points to scrub traffic before it reaches applications. This is the unglamorous plumbing that decides whether enterprise AI is actually affordable. His advice for leaders was blunt in a good way. Centralized data lakes do not hold up for agentic AI, so shift to a federated approach that takes the query to the data instead of the other way around. Do not rush to prove ROI or cut headcount early. Let people get comfortable with AI first. And follow the sequence: experiment, then govern, then move to private AI clusters for cost control. Kaladhar and his team publish weekly on networking, data strategy, governance, and industry verticals. Worth a follow if you are building any of this yourself. More conversations from the summit floor coming soon. #equinix #equinixhorizon #ai #enterpriseai #datastrategy #aigovernance #digitalinfrastructure #equinix #theravitshow