AI Data & Storage
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The KV Cache is Becoming a Data Centre Asset, Not a Temporary Buffer
As AI inference moves towards longer conversations, larger context windows and more complex workloads, the information retained between interactions is creating a new infrastructure requirement. Data centre storage was largely discussed in familiar terms: capacity, performance, latency, resilience and cost per terabyte – AI inference is complicating that picture. Large language models generate and reuse…
Security
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AI Data Centre Security: The Shared GPU Risk Operators Face
A new class of GPU attack goes public on 15 November. For AI data centre operators, the bigger issue is who owns security when customers share hardware. This piece explains GPUThor in plain terms, why multi-tenant GPU and neocloud environments carry the most exposure, and three questions leadership teams should be asking about tenant isolation…
