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Italiano(IT) GLM 5.2 no es gratis: ni mi Spark de US$4.000 lo corre

GLM 5.2: Open Source License Doesn't Mean Free to Run

While GLM 5.2 is available under an open-source MIT license, the author argues that the cost of running the model makes it inaccessible for most users. Despite its free download, GLM 5.2 requires significant hardware, with even a US$4,000 DGX Spark insufficient to run it. Usable performance necessitates hardware costing tens of thousands of dollars, and full-scale deployment can reach up to a million dollars, making the claim of AI

IMPACT The high cost of running advanced open-source models like GLM 5.2 highlights the ongoing hardware and infrastructure barriers to widespread adoption.

RANK_REASON The item discusses the practical costs and accessibility of an open-source model, rather than a new release or benchmark.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

GLM 5.2: Open Source License Doesn't Mean Free to Run

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0 / 100
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Newsworthiness bucket
Commentary
The item discusses the practical costs and accessibility of an open-source model, rather than a new release or benchmark.
Source corroboration
2 independent sources
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Topics
model release, infra
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High
Clearly on-topic for AI-industry coverage.
Story freshness
89 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

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COVERAGE [2]

  1. dev.to — LLM tag TIER_1 English(EN) · Cristian Tala ·

    GLM 5.2 isn't free: not even my US$4,000 Spark can run it

    <p>GLM 5.2 is open source and free to download. Running it is another story. At best it needs around 240 GB of memory, and that's only in its most compressed version. I have a US$4,000 DGX Spark dedicated to this, with 128 GB, and it doesn't have enough to even start. This isn't …

  2. dev.to — LLM tag TIER_1 Italiano(IT) · Cristian Tala S. ·

    GLM 5.2 is not free: not even my US$4,000 Spark runs it

    <p>GLM 5.2 es open source y gratis de descargar. Correrlo es otra historia. En el mejor de los casos pide unos 240 GB de memoria, y eso solo en su versión más comprimida. Tengo un DGX Spark de US$4.000 dedicado a esto, con 128 GB, y no le alcanza ni para arrancar. No es opinión, …