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English(EN) Electricity per AI image on an RTX PRO 6000, RTX 5090 Laptop, RTX 5080, RTX 3090 and more: about 3 to 10 cents per 1,000 images (FLUX.2 klein, 1024x1024)

NVIDIA GPU上AI图像生成成本分析

一项最新分析详细说明了在各种NVIDIA GPU上生成AI图像的电力成本,每1000张图像的成本约为3到10美分。该研究测量了在RTX 5090 Laptop、RTX Pro 6000、RTX 5080和RTX 3090等GPU上使用FLUX.2 klein等模型以1024x1024分辨率生成图像的功耗。图像分辨率、生成步数以及特定模型变体等因素显著影响每张图像的能耗。 AI

影响 提供了AI图像生成运营成本的数据,影响硬件选择和效率考量。

排序理由 对特定硬件上AI图像生成计算成本的分析。[lever_c_demoted from research: ic=1 ai=0.7]

在 r/StableDiffusion 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

NVIDIA GPU上AI图像生成成本分析

本文如何被排名

Signal score
4 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
对特定硬件上AI图像生成计算成本的分析。[lever_c_demoted from research: ic=1 ai=0.7]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
infra
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

  1. r/StableDiffusion TIER_2 English(EN) · /u/strata2signal ·

    每生成一张AI图像的电费:RTX PRO 6000、RTX 5090 Laptop、RTX 5080、RTX 3090等显卡,每1000张图像约3至10美分(FLUX.2 klein,1024x1024)

    <!-- SC_OFF --><div class="md"><p>What one generated image costs in electricity on each GPU we've measured, at one dated price: 18.31 cents per kWh, the US residential average for July 2026. Power is the board's own reading from each card's driver. The page has two bar charts (ce…