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GPU Infrastructure

575 summarised stories about GPU Infrastructure, each linking back to the original source. Browse all topics →

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Sunday, 18 October 2026

Nvidia CEO suggests chipmakers could stop supplying customers developing unsafe or irresponsible AI

finance.yahoo.com 4 days ago 28 ● 5 sources

Nvidia CEO Jensen Huang said Nvidia would stop selling its chips to a customer building unsafe AI software. The statement was tied to potentially ending supply if the harm is known for certain, with Huang describing that decision as conditional on clear wrongdoing. This shifts Nvidia from only discussing AI safety to explicitly threatening to cut off hardware sales to projects judged unsafe.

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AI Security AI Governance GPU Infrastructure NVIDIA

Scale isn’t one number: three ways a Kubernetes control plane runs out of room

The New Stack 4 days ago 45

Kubernetes control planes run out of capacity in different ways across three cluster types, driven by memory, write churn, or apiserver-resident state rather than total node count alone. One example is that at 100,000 nodes with a 10-second heartbeat, node liveness alone can generate about 10,000 writes per second and lease renewals were measured at roughly 70% of write QPS. The article argues that fixes should be assembled along specific “seams” (storage, node liveness, sharding, and cache residency) and validated with recipes, rather than relying on adding apiserver instances that can worsen the underlying bottleneck.

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AI Infrastructure GPU Infrastructure Model Deployment

'How many canaries have we killed in the coal mine?' — Wall Street debates if the latest AI bubble warnings are another head fake or the real thing

Fortune 38 ● 11 sources

Wall Street is debating whether repeated AI-bubble warnings and recent pressure on debt-heavy AI firms signal the real end of the AI boom or just another false alarm. Gartner warned that AI data center owners need a cumulative $8.5 trillion in revenue through 2030, while a separate estimate puts revenue to data centers at $3.6 trillion at most. The focus shifts toward whether rising rates and debt stress will force a write-down cycle for companies like CoreWeave rather than a broad immediate unwind of AI demand.

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AI Infrastructure Business Funding GPU Infrastructure AI Cost & Economics

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