July 2025
Intermediate to advanced
284 pages
9h 23m
Italian
Content preview from LLMOps
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Capitolo 9. Scalare: Hardware, infrastruttura e gestione delle risorse
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L'implementazione di e la gestione delle LLMs presentano sfide e opportunità uniche nel campo della gestione delle infrastrutture e delle risorse. Gli LLMs, come hai visto in questo libro, sono ad alta intensità di calcolo e richiedono notevoli risorse hardware, di storage e di rete per funzionare in modo efficiente. Sia che tu stia sfruttando gli LLMs come servizio basato su cloud, sia che tu stia distribuendo modelli pre-addestrati in data center on-premise o che tu stia addestrando i tuoi modelli da zero, le tue decisioni sull'infrastruttura influenzeranno le loro prestazioni, la scalabilità e l'efficienza economica.
Una gestione efficace delle risorse per gli LLMs implica l'ottimizzazione della potenza di calcolo, della memoria e dello storage. In questo capitolo esploreremo i componenti chiave dell'infrastruttura per gli LLMs, compresi i requisiti hardware e le strategie di implementazione. Parleremo anche delle migliori pratiche per ottimizzare l'uso delle risorse, gestire i costi e mantenere l'affidabilità negli ambienti di produzione. Questo capitolo ti aiuterà a capire i compromessi che comporta la gestione delle risorse per le applicazioni AI su larga scala.
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La scelta di metodo appropriato per l'utilizzo delle LLMs dipende dai requisiti ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.