Publier
Raja-King
$RENDER
Decentralized GPU infrastructure has a compelling use case: connecting computing demand with distributed hardware resources. Render’s long-term relevance depends on whether creators and other compute-intensive users continue finding value in its network. Yet demand for rendering services should not automatically be confused with demand for the token itself. Understanding how network usage translates into token utility is essential when evaluating this AI infrastructure narrative.
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