Nyeste episode
Monthly News Update: $1 Trillion Later, Can It Run Doom? Send us a text
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, an
Tid: 29:04
Send us a text
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
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https://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/
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Utgitt: 8.10.2025, 13.00.00
