$1.5 Trillion Later, Can It Run Doom?

We weigh efficiency against hype as Huawei’s open-source quantization aims to shrink LLM costs while AI spending sprints toward $1.5T. From Oracle’s blue-sky risk to Cisco’s SNMP flaws, Equinix and Alkira’s AI networking moves, and a leap into quantum networking, we look for what’s real and what’s next. • Huawei’s SINQ quantization for smaller, cheaper LLM deployments • AI spend approaching $1.5T amid capacity and power constraints • Oracle downside risk and the velocity of money in AI deals • Cisco IOS XE SNMP vulnerabilities and urgent patching guidance • Equinix Fabric Intelligence and AI Solutions Lab for AI interconnects • Alkira MCP and NIA for AI-driven multi-cloud network operations • Cisco’s quantum networking prototypes and entanglement chip • Quantum error correction, room‑temperature operation, and security signals Purchase Chris and Tim's new book on AWS Cloud Networking: https://www.amazon.com/Certified-Adva... Check out the Monthly Cloud Networking News https://docs.google.com/document/d/1f... Visit our website and subscribe: https://www.cables2clouds.com/ Follow us on BlueSky: https://bsky.app/profile/cables2cloud... Follow us on YouTube:    / @cables2clouds   Follow us on TikTok:   / cables2clouds   Merch Store: https://store.cables2clouds.com/ Join the Discord Study group: https://artofneteng.com/iaatj