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Author trains own LLM from scratch, finds costs prohibitive for most use cases

A developer detailed the true costs of training a custom Large Language Model (LLM) from scratch in 2025, contrasting it with a popular tutorial. While training a small 10M parameter model for educational purposes is inexpensive at $0.34, scaling to a 1B parameter model requires significant resources. Such a scaled model would take approximately 694 hours on an RTX 4090, costing around $305, and this estimate doesn't account for potential interruptions. AI

影响 Training LLMs from scratch is prohibitively expensive for most, reinforcing the value of existing foundational models for practical applications.

排序理由 Developer's personal experience and cost analysis of training an LLM from scratch, presented as a blog post.

在 dev.to — LLM tag 阅读 →

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Author trains own LLM from scratch, finds costs prohibitive for most use cases

报道来源 [2]

  1. dev.to — LLM tag TIER_1 English(EN) · Juan Torchia ·

    I Trained My Own LLM from Scratch in 2025: What That Viral HN Tutorial Doesn't Tell You About the Real Cost

    <h1> I Trained My Own LLM from Scratch in 2025: What That Viral HN Tutorial Doesn't Tell You About the Real Cost </h1> <p>I was scrolling HN on a Tuesday night when I saw the post: <em>"Train Your Own LLM from Scratch"</em>, 241 points, 87 comments, and an energy in the thread I …

  2. dev.to — LLM tag TIER_1 Español(ES) · Juan Torchia ·

    I Trained My Own LLM From Scratch in 2025: What HN's Viral Tutorial Doesn't Tell You About the Real Cost

    <h1> Entrené mi propio LLM desde cero en 2025: lo que el tutorial viral de HN no te dice sobre el costo real </h1> <p>Estaba revisando HN un martes a la noche cuando vi el post: <em>"Train Your Own LLM from Scratch"</em>, 241 puntos, 87 comentarios, y una energía en el hilo que r…