The Open Source AI Blueprint: Build Production-Ready AI Infrastructure Without Vendor Lock-in
The Open Source AI Blueprint: Build Production-Ready AI Infrastructure Without Vendor Lock-in
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The Open Source AI Blueprint: Build Production-Ready AI Infrastructure Without Vendor Lock-in
Scaricabile subito
30,49 €
30,49 €
Scaricabile subito

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Discover how to build enterprise-grade AI infrastructure using entirely open source technologies—and break free from cloud vendor lock-in forever. Are you tired of escalating cloud costs eating into your AI budget? Frustrated by proprietary platforms that hold your data and models hostage? Concerned about compliance requirements that cloud providers can't guarantee? The Open Source AI Blueprint is your comprehensive guide to building AI infrastructure that you own, control, and can scale without asking permission from Big Tech. This authoritative 21-chapter guide covers everything you need to deploy production-ready AI systems: • Foundation models and large language models—from LLaMA to Mistral • Model serving at scale with vLLM, Triton, and text-generation-inference • Vector databases and embeddings with Milvus, Weaviate, and Qdrant • MLOps platforms including Kubeflow, ClearML, and MLflow • AI agents and multi-agent systems with LangGraph, AutoGen, and CrewAI • Production deployment, security, compliance, and cost optimization Written for technical leaders, ML engineers, data scientists, and DevOps professionals, this book transforms complex infrastructure decisions into clear, actionable roadmaps. Each chapter provides real-world implementation guidance using battle-tested open source tools that power AI large companies. You'll learn how to: • Design AI infrastructure that eliminates vendor dependencies • Deploy and serve models with sub-second latency • Build RAG systems that actually work in production • Implement multi-agent systems for autonomous AI workflows • Meet GDPR, EU AI Act, and industry compliance requirements • Reduce AI infrastructure costs by 40-70% compared to cloud alternatives The book includes a detailed 24-month implementation roadmap, organized into four progressive phases: Foundation, Production, Scale, and Maturity. Whether you're building your first ML platform or upgrading existing infrastructure, you'll find practical guidance adapted to your organization's maturity level. Stop renting your AI future from cloud providers. Start building infrastructure you own. Get The Open Source AI Blueprint today and take control of your AI destiny.

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