Would 10k tok/s Decode Speed Unlock New LLM Use Cases?
LivingSwitch · reddit · 2026-07-31
The community engaged in a discussion about the potential value of extreme inference speed. If an inference engine could achieve 1,000 to 10,000 tokens per second for decoding (specifically for large models with hundreds of billions of parameters), would it truly be practical?
The core debate focuses on whether this extreme speed boost would unlock entirely new application scenarios (like complex agent tasks requiring real-time feedback), or whether, given current bottlenecks, compute would be better utilized loading much larger models to improve base intelligence rather than merely pushing generation speed.
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