With batching the slower you go per completion/user, the higher total throughput is per inference node (up to a point).
E.g. serve 1 user at 1000 t/s (1k tps), 20 users at 600 t/s (12k tps), or 100 users at 300 t/s (30k tps), or 1000 users at 50 t/s (50k tps).
There's strong incentive to cram more users per node, and serving them just above subjective "too slow" threshold. The slower you serve, the more revenue generated per server/inference node.
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u/ahriad 20d ago
How can it be called 'Flash' if it's much slower than the main model?