LinkedIn says it won't be spending big on AI hardware this year — but it has a good reason why
THE SO WHAT
Doubling effective GPU output before buying more silicon is a reminder that many teams are under-optimizing existing clusters. Before you chase new capacity, pressure your infra and ML teams to surface utilization, batching, and model-sizing wins that buy you 6–12 months of headroom.
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