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AI inference demands fundamentally different data infrastructure, says Silk

As AI agents move from chatbots to autonomous multi-step workflows, inference workloads are overwhelming traditional cloud storage (AWS EBS) with extreme concurrency, read spikes, and tail latency. Silk advocates for software-defined storage that decouples performance from capacity to handle these demands without relying on fragile read replicas or overprovisioning.

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The Register AI/ML31.07 · 02:03
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