THE EQUINIX INDICATOR

Optimize Your AI Strategy with Distributed Infrastructure

Welcome to the third volume of The Equinix Indicator. A platform for meaningful dialogue on the topics driving enterprise innovation today. In this edition, leading industry experts explore how Distributed AI is revolutionizing the technology landscape, offering insights into emerging frameworks and practical strategies that enterprises can implement to harness these transformative capabilities now.

 

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Jon Lin

Chief Business Officer, Equinix

Industry Voices

John Maddison

Chief Product & Corporate Marketing Officer, F5

Vinay Samuel

Founder & CEO, Zetaris

Jonathan Ross

Founder & CEO, Groq

Patrick Kennedy

Founder, ServeTheHome

Lisa Miller

SVP, Platform Alliances, Equinix

Chuck Keith

Founder, NetworkChuck

Mindy Cancila

VP, Corporate Strategy, Dell Technologies

Dhanji r. Prasanna

CTO, Block

Andy Davis

Director of DataXConnect & Host of Inside Data Centre

Victor Arnaud

Managing Director, Brazil, Equinix

Aaron Werley

SVP, Engineering, Zayo Technology

Kaladhar Voruganti

Senior AI Technologist, Equinix

Infrastructure Neutrality

An essential component that empowers enterprises to avoid lock-in, run workloads where they perform best, and integrate diverse models, tools, and clouds. This open foundation accelerates innovation while balancing performance, security, and cost.

 

Kaladhar Voruganti

Senior AI Technologist, Equinix

Jonathan Ross

Founder & CEO, Groq

We’re unlocking developer ambition now, not months from now.

“As demand for AI inference continues at an ever-increasing pace, we know that those building fast need more – more capacity, more efficiency, more tokens, more security, and with a cost that scales. With our new data centers, customers get the lowest latency possible and infrastructure ready today. We’re unlocking developer ambition now, not months from now.”

Aaron Werley

VP, Engineering, Zayo Group

AI workloads demand unprecedented speed and scale

“AI workloads demand unprecedented speed and scale, pushing the boundaries of traditional infrastructure with massive data flows and real-time processing needs. By integrating Zayo’s robust, high-capacity connectivity solutions and leading 400G network capabilities directly within Equinix’s strategically located, AI-optimized data centers, we’re creating a powerful, streamlined environment to enable faster, more efficient movement of AI workloads across cloud, core and edge.”

Chuck Keith

Founder, NetworkChuck

Traditional connectivity often relies on the open internet, which is unpredictable

“The challenge today’s enterprises face is ensuring seamless, high-performance connections between their on-premises infrastructure and the major cloud providers—AWS, Google Cloud, and Microsoft Azure—where much of the internet’s applications and data now live. Traditional connectivity often relies on the open internet, which is unpredictable: data hops across multiple routers and networks, creating latency, congestion, and dropped connections. It’s like taking a road trip where you don’t control the roads, can’t avoid the traffic or guarantee the quality of the journey. Equinix changes this paradigm by providing direct, secure, and highly reliable interconnection. By bypassing the public internet, Equinix enables enterprises to achieve the speed, performance, and consistency their hybrid and multicloud strategies demand.”

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Privacy without Compromise

Building AI-ready infrastructure where protection begins at the data center. By embedding security and compliance into every connection, enterprises can share and process data with confidence—ensuring innovation moves forward without exposing sensitive information.

Victor Arnaud

Managing Director, Brazil, Equinix

Dhanji R. Prasanna

CTO, Block

The key to making AI real and future-proof is inference

“The industry, and the world, is undergoing a seismic shift with adopting AI tools. At Block, we think it’s essential not only to apply AI to existing problems, but also to explore, learn, and build in the open so that we can advance the frontier of AI in a way that truly levels the playing field for our customers and community.”

John Maddison

Chief Product & Corporate Marketing Officer, F5

Collaboration is what turns innovation into impact

“To scale AI effectively, organizations need more than raw performance — they need a secure, interconnected ecosystem. By partnering with trusted providers like F5 and building on platforms like ADSP, businesses can deliver intelligent traffic management, robust API security, and low-latency application delivery. This kind of collaboration is what turns innovation into impact.” 

Andy Davis

Director DataXConnect & Host of Inside Data Centre

If we build trust into the very core of our infrastructure, then innovation can scale

“As new frameworks emerge and technologies evolve, such as distributed AI, new approaches to privacy and protection have to be adopted and they all begin inside the data center. It’s there that we set the standard for how data is stored, moved, and secured. If we build trust into the very core of our infrastructure, then innovation can scale without us sacrificing sovereignty– ensuring that progress never comes at the cost of privacy.”

Power your success

Work with us to see how Platform Equinix® enables your business needs to thrive in today’s digital-first world.

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Expansive Partner Ecosystem

By interconnecting cloud providers, model builders, and technology leaders on neutral infrastructure, enterprises gain the freedom to integrate best-of-breed solutions, accelerate outcomes, and scale AI with confidence.

Lisa Miller

SVP, Platform Alliances, Equinix

Mindy Cancila

VP, Corporate Strategy, Dell Technologies

To meet evolving demands, solutions must remain adaptable

“Dell has long believed in the importance of open, modular architectures that give customers choice. This is why we strategically partner across all layers of the stack—from silicon diversity to model providers and datacenter partners like Equinix. As organizations deploy inferencing across distributed datasets, each AI use case brings unique requirements for model selection, accuracy, performance, and cost. To meet evolving demands, solutions must remain adaptable, ensuring security, ROI, and the business outcomes customers need.”

Vinay Samuel

Founder & CEO, Zetaris

Success demands a Modern AI Lakehouse that delivers real-time access to all available data across hybrid, multi-cloud environments

“Businesses are still trying to run AI on cloud data platforms built for BI – and that’s why we’re seeing 40% overspend and only 5% of projects make it to production. Success demands a Modern AI Lakehouse that delivers real-time access to all available data across hybrid, multi-cloud environments – with governed, high-performance processing and data center resiliency.

Combined with Equinix’s global ecosystem of clouds, networks, and partners – sovereign AI can run securely at the edge, lowering total cost of ownership by up to 70%.” 

Patrick Kennedy

Founder, ServeTheHome

A key challenge is being able to match capacity and demand while maintaining sovereignty and security

“The next generation of infrastructure will need to seamlessly connect data sources with AI compute located near where insights are required. As AI proliferates into new industries and roles, a key
challenge is being able to match this capacity and demand globally while maintaining sovereignty and security around the data and insights generated. This process requires flexible, neutral infrastructure that allows individuals and companies access to trusted networks and providers at scale and in real-time.”

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