July 2025
Intermediate to advanced
284 pages
9h 15m
Portuguese (Portugal, Brazil)
Content preview from LLMOps
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Capítulo 9. Dimensionamento: Hardware, Infraestrutura e Gestão de Recursos
Este trabalho foi traduzido com recurso a IA. Agradecemos o teu feedback e comentários: translation-feedback@oreilly.com
Implementar e gerir LLMs apresenta desafios e oportunidades únicas no domínio da infraestrutura e gestão de recursos. Os LLMs, como já viu ao longo deste livro, são computacionalmente intensivos, exigindo recursos substanciais de hardware, armazenamento e rede para operar eficientemente. Quer estejas a utilizar LLMs como um serviço baseado na Cloud, a implementar modelos pré-treinados em centros de dados locais, ou a treinar os teus próprios modelos de raiz, as tuas decisões de infraestrutura influenciarão o seu desempenho, escalabilidade e relação custo-eficácia.
A gestão eficaz de recursos para LLMs envolve a otimização da capacidade de computação, memória e armazenamento. Neste capítulo, exploraremos os principais componentes da infraestrutura para LLMs, incluindo requisitos de hardware e estratégias de implantação. Também discutiremos as melhores práticas para otimizar o uso de recursos, gerenciar custos e manter a confiabilidade em ambientes de produção. Este capítulo irá ajudar-te a compreender as soluções de compromisso envolvidas na gestão de recursos para aplicações de IA em grande escala.
Escolhendo a abordagem correta
Selecionando o método apropriado para usar LLMs depende dos requisitos da aplicação para a qual deseja usá-lo. Para startups ou aplicativos de pequena escala, ...
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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.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.