Premium inference isn't about throwing more compute at the problem. It's about using the right architecture for each stage.
-GPUs for compute-heavy prefill
-RDUs for latency-sensitive decode
-A serving layer to orchestrate it all
That's the idea behind disaggregated inference, and why it matters for delivering fast, efficient AI at scale.
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