ISBN: 9798261995852 - llama 3 in production: deploying open-source llms on private infrastructure | enterprise ai privacy, cost optimization & on-premises implementation guide (4 resultados)

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  • Idioma: Inglés

    Editorial: Independently Published, 2025

    9798261995852

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    Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail

    Vendedor de 5 estrellas
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    Condición: Nuevo

    EUR 32,37

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    Se envía dentro de Estados Unidos de America

    Cantidad disponible: 1 disponible

    Paperback. Condición: new. Paperback. The era of choosing between AI innovation and data sovereignty is over. This hands-on manual shows exactly how to deploy Llama 3 on private infrastructure, giving enterprises the power of state-of-the-art language models without the security compromises, runaway costs, or compliance nightmares of cloud dependency.Written for technical leaders who refuse to trade control for convenience, this book maps the entire private deployment pipeline-from infrastructure decisions to production monitoring. You'll learn battle-tested methods for fine-tuning on proprietary data, optimizing inference for cost at scale, and implementing governance frameworks that satisfy auditors. Each chapter balances architectural depth with practical implementation, showing precisely why private deployment outperforms cloud alternatives on total cost of ownership, latency, and regulatory alignment.Whether you're architecting an on-premises solution or establishing AI guardrails in regulated industries, this guide provides the concrete tooling and strategic frameworks to make Llama 3 a secure, sustainable asset within your ecosystem.What You'll Learn: - Why private deployment slashes AI operational costs by up to 70% while strengthening security posture - The exact infrastructure patterns that prevent model performance degradation at enterprise scale - How to structure compliance documentation that regulators accept for self-hosted AI systems - Proven techniques for training Llama 3 on confidential data without exposure risks - Metrics that expose hidden cloud AI expenses and prove ROI for private infrastructureThe organizations gaining competitive advantage with AI today aren't waiting for cloud providers to address their privacy concerns. Get the complete playbook for deploying Llama 3 on your terms-secure, compliant, and cost-optimized. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

  • Idioma: Inglés

    Editorial: Amazon Digital Services LLC - Kdp, 2025

    9798261995852

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    Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US

    Vendedor de 5 estrellas
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    Condición: Nuevo

    EUR 32,38

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    Cantidad disponible: Más de 20 disponibles

    PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

  • Idioma: Inglés

    Editorial: Amazon Digital Services LLC - Kdp, 2025

    9798261995852

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    • Impresión bajo demanda

    Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK

    Vendedor de 5 estrellas
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    Condición: Nuevo

    EUR 29,41

    Envío por EUR 4,97 
    Se envía de Reino Unido a Estados Unidos de America

    Cantidad disponible: Más de 20 disponibles

    PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

  • Idioma: Inglés

    Editorial: Independently Published, 2025

    9798261995852

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    • Impresión bajo demanda

    Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail

    Vendedor de 5 estrellas
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    Condición: Nuevo

    EUR 33,82

    Envío por EUR 44,20 
    Se envía de Reino Unido a Estados Unidos de America

    Cantidad disponible: 1 disponible

    Paperback. Condición: new. Paperback. The era of choosing between AI innovation and data sovereignty is over. This hands-on manual shows exactly how to deploy Llama 3 on private infrastructure, giving enterprises the power of state-of-the-art language models without the security compromises, runaway costs, or compliance nightmares of cloud dependency.Written for technical leaders who refuse to trade control for convenience, this book maps the entire private deployment pipeline-from infrastructure decisions to production monitoring. You'll learn battle-tested methods for fine-tuning on proprietary data, optimizing inference for cost at scale, and implementing governance frameworks that satisfy auditors. Each chapter balances architectural depth with practical implementation, showing precisely why private deployment outperforms cloud alternatives on total cost of ownership, latency, and regulatory alignment.Whether you're architecting an on-premises solution or establishing AI guardrails in regulated industries, this guide provides the concrete tooling and strategic frameworks to make Llama 3 a secure, sustainable asset within your ecosystem.What You'll Learn: - Why private deployment slashes AI operational costs by up to 70% while strengthening security posture - The exact infrastructure patterns that prevent model performance degradation at enterprise scale - How to structure compliance documentation that regulators accept for self-hosted AI systems - Proven techniques for training Llama 3 on confidential data without exposure risks - Metrics that expose hidden cloud AI expenses and prove ROI for private infrastructureThe organizations gaining competitive advantage with AI today aren't waiting for cloud providers to address their privacy concerns. Get the complete playbook for deploying Llama 3 on your terms-secure, compliant, and cost-optimized. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…