AI Infrastructure Strategy is transforming how organizations manage data congestion, optimize GPU investments, and scale operations.

In this exclusive tour at the Juniper booth during Mobile World Congress 2025, industry expert ‪@Ronald_vanLoon‬ explores the challenges and solutions for meeting the steeply rising demand for AI.

Modern enterprises are adopting AI at an unprecedented rate.

To support this shift, Ronald outlines key strategies like AI for networking, GPU as a service, AI as a service, and automation-first infrastructure.

He compares network traffic congestion to real-world traffic and explains how AI strategies like auto-tuning, segmentation, and virtualization are critical for optimizing performance and security.

Discover how data centers are evolving to support AI inferencing and training with scalable, high-speed infrastructure.

Learn about the importance of speed, congestion management, secure segmentation, zero-trust security, and how GPU resources can be leveraged up to 7-8x through virtualization.

With real-world analogies and insights into the latest innovations from Juniper, Ronald illustrates how organizations can navigate complex AI challenges with efficient, secure, and scalable network infrastructure.

Insights covered:

The rising demand for AI infrastructure

Managing data congestion like highway traffic

Speed optimization up to 1.6 terabytes/second

Auto-tuning for smart routing and performance

GPU as a service & AI as a service concepts

Virtualization to maximize GPU ROI

Automated infrastructure setup

Zero-trust security and tenant segmentation

Watch till the end to understand how to build your infrastructure with confidence and scale AI adoption successfully.

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