premium used to be 20 cents more than regular. now it's a $1+ in some places. it's not just "harder to refine." i dug into why the grade gap has quietly exploded. what's the gap at your station right now? (if you like this kind of digging, a follow helps)
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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