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Llama 3.1 70B prompt processing costs 914x token generation time

By PulseAugur Editorial · [1 sources] ·

A detailed analysis reveals that processing a 4K token prompt for Llama 3.1 70B on an H100 SXM GPU is significantly more resource-intensive than commonly assumed, costing the equivalent of approximately 914 generated tokens. This high cost stems from the prefill stage, which is compute-bound and quadratically scales with context length, unlike the memory-bound decode stage. When a large prompt is processed, it halts all other active conversations on the serving node, causing a noticeable delay for users. While chunking the prefill can reduce the maximum stall time, it does not decrease the overall computational cost. AI

IMPACT Highlights the significant computational cost of processing long prompts, impacting inference efficiency and user experience.

RANK_REASON Analysis of LLM serving costs and performance implications, not a direct release or product announcement.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Llama 3.1 70B prompt processing costs 914x token generation time

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6 / 100
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Commentary
Analysis of LLM serving costs and performance implications, not a direct release or product announcement.
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Jax Sinclair ·

    One 4k prompt costs a serving node as much as 900 generated tokens

    <p>A node serving Llama-3.1-70B, 32 conversations streaming, GPU pegged at 95%. Then someone pastes a document. Every live conversation freezes for most of a second, then resumes. Nothing is broken and no config is wrong. The prefill is doing exactly what the arithmetic says it s…

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