{"product_id":"generative-ai-on-kubernetes","title":"Generative AI on Kubernetes: Operationalizing Large Language Models by Roland Huß, Daniele Zonca","description":"\u003ch2\u003eGenerative AI on Kubernetes: Operationalizing Large Language Models by Roland Huß, Daniele Zonca\u003c\/h2\u003e\n\u003cp data-path-to-node=\"6\"\u003eThe core thesis of \u003ci data-path-to-node=\"6\" data-index-in-node=\"19\"\u003eGenerative AI on Kubernetes\u003c\/i\u003e is that the biggest challenge facing generative AI today is no longer model design, but orchestration at scale. Large Language Models (LLMs) are uniquely demanding: they consume massive amounts of GPU memory, require specialized hardware acceleration, incur incredibly high cloud compute bills, and exhibit non-deterministic runtime behaviors. Running these workloads on rigid, traditional virtual machines leads to wasted hardware power, slow scaling, and frequent production outages.\u003c\/p\u003e\n\u003cp data-path-to-node=\"6\"\u003e\u003cspan class=\"citation-144 citation-end-144\"\u003eHuß and Zonca position Kubernetes as the ultimate control plane for production-grade AI.\u003csup class=\"superscript\" data-turn-source-index=\"3\"\u003e\u003c!----\u003e\u003c\/sup\u003e\u003c\/span\u003e They provide a practical roadmap for training, fine-tuning, deploying, and auto-scaling generative models. The authors walk readers through configuring advanced GPU scheduling, setting up fractional hardware virtualization, and minimizing the cost of idle cluster space. Crucially, the text details how to run open runtimes like vLLM and TGI within a cloud-native mesh, connect secure agent networks to real-time external tools, and establish monitoring pipelines to track deep LLM health metrics.\u003c\/p\u003e\n\u003cp data-path-to-node=\"6\"\u003eAs our regional software ecosystem rapidly transitions from simple AI experiments to launching live, production-grade applications, teams are hitting a massive infrastructure wall. Companies are burning through capital on unmanaged, always-running cloud servers that sit idle for hours but crash instantly under sudden user traffic surges. \u003cspan class=\"citation-139 citation-end-139\"\u003eMLOps teams are struggling to manage GPU allocations, protect underlying data from security vulnerabilities, and balance compute costs against real-time application speeds.\u003csup class=\"superscript\" data-turn-source-index=\"8\"\u003e\u003c!----\u003e\u003c\/sup\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003eLanguage: English.\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003eGenre: Systems Architecture.\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003eBinding: সেলাই করা বাইন্ডিং\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003eQuality: Premium Quality Books.\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003ePrinting: High Quality Printing.\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003ePaper: Eye Friendly paper (Cream White)\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003eCover: Matt cover (Paperback).\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-path-to-node=\"7\" id=\"p-rc_d1897ac610724bdb-66\"\u003e\u003c\/p\u003e","brand":"Royal Books BD","offers":[{"title":"Default Title","offer_id":47228276342969,"sku":null,"price":350.0,"currency_code":"BDT","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0780\/0874\/6169\/files\/Generative_AI_on_Kubernetes.jpg?v=1779275801","url":"https:\/\/royalbooksbd.com\/products\/generative-ai-on-kubernetes","provider":"Royal Books BD","version":"1.0","type":"link"}