The Everything Feed - All Packet Pushers Pods Tech Bytes: Why Equinix Should Be Part of Your AI Network Strategy (Sponsored)
Oct 27, 2025
Kevin Egan, Senior Director at Equinix, shines a light on the often-overlooked role of networking in AI infrastructure. He discusses trends in AI workloads and how edge computing is transforming localized inferencing. Egan elaborates on Equinix's co-location services as a vital third option between on-prem and cloud, ensuring low-latency, high-speed connectivity. He also explores the rise of GPU-as-a-Service and the importance of data governance. With insights on the future of AI networking, Egan reveals how users can optimize their strategies for success.
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Global Interconnection Footprint
- Equinix runs almost 300 data centers across 76 markets and six continents, serving 10,000+ customers.
- They emphasize high uptime and target near-100% renewable energy by 2030.
Edge Shift Driven By Smaller Models
- AI is shifting toward edge deployment with smaller, domain-specific models for inference.
- This trend supports vertical use cases like robotics, manufacturing, automotive, and telco.
Agentic Workflows And MCP Flexibility
- Agentic workflows plus model control platforms (MCPs) let you flexibly switch and test different models.
- That flexibility enables choosing faster or more cost-effective models for specific tasks.