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Applied AI·June 8, 2026·1 min read

Nvidia and SK Hynix signed a multi-year pact to develop next-gen memory tailored for Nvidia's AI infrastructure roadmap, including for Vera Rubin (Yoolim Lee/Bloomberg)

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Memory is now co-designed with the model roadmap — Nvidia locking in SK Hynix for future AI-specific DRAM/HBM means performance and cost advantages will be baked into their stack, not available on the open market. If you're betting on alternative accelerators, assume a widening memory ecosystem gap you’ll have to close yourself.

Applied AI

I connected Claude to Gmail, and it got to know me scarily well — as well as saving me time

LLM assistants wired into Gmail are no longer generic copilots—they become personalized operators with a live map of your priorities, relationships, and work style. If you connect one, you’re effectively standing up a shadow CRM and knowledge graph on top of your inbox—treat access control, data retention, and prompt-logging like you would for any system that understands your org’s social graph better than HR does.

Applied AI

Nvidia says South Korea's Naver will use its technology to build AI factories at "gigawatt scale" to meet rising global demand for AI services and physical AI (Heekyong Yang/Reuters)

Gigawatt-scale 'AI factories' mean AI buildout is now constrained by national power policy and grid build, not just cloud contracts. If your AI roadmap assumes elastic capacity, start modeling around where the next gigawatt campuses land — geography, latency, and power pricing are about to be product features.