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Artículo: AMZ-B0G1YFDM2W
Building an AI Cloud with Proxmox VE : Deploy, Scale, and Accelerate GPU Workloads On-Prem
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Kindle
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En stock
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0.84 kg
0.84 kg
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Nuevo
Nuevo
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Amazon
Amazon
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USA
USA
Sobre este producto
- Build your own on-prem AI Cloud—powered by Proxmox VE, GPU acceleration, and modern DevOps automation.As AI workloads grow beyond the cloud, engineers and builders are rediscovering the power of on-premise GPU infrastructure. Building an AI Cloud with Proxmox VE is your complete, hands-on guide to deploying, scaling, and managing GPU-accelerated AI environments inside Proxmox VE 9.x—using real tools, real automation, and real results.From PCIe passthrough and vGPU provisioning to lightweight Kubernetes (K3s) orchestration and distributed Ceph storage, this book walks you step-by-step through the architecture of a fully self-hosted AI platform. Whether you’re a DevOps professional, AI engineer, or homelab enthusiast, you’ll learn how to turn commodity hardware into a powerful local compute cluster for deep learning, model serving, and edge inference.Inside This BookInstall and optimize Proxmox VE 9.x for AI workloads with UEFI boot, ZFS, and GPU passthrough.Configure NVIDIA, AMD, or Intel GPUs for CUDA, TensorRT, and PyTorch acceleration.Deploy Docker, Podman, and K3s containers for distributed model training and inference.Integrate Ceph and ZFS for high-performance, fault-tolerant AI data storage.Use Terraform and Ansible to automate provisioning and GPU cluster configuration.Implement monitoring, observability, and fault recovery for large-scale inference jobs.Secure your on-prem AI cloud with RBAC, TLS, and Kubernetes Network Policies.Why This Book MattersCloud AI costs are rising fast. Data privacy, performance, and control now matter more than ever. This book teaches you how to build a private AI infrastructure that you own, using open-source tools and enterprise practices—without relying on commercial cloud GPU services.Learn to design, automate, and optimize your own Proxmox-based GPU cluster, capable of hosting AI models, LLM pipelines, and inference workloads—all from your local rack or homelab.Who This Book Is ForThis book is written for:AI Engineers and Data Scientists who need high-performance, private GPU compute.DevOps and Platform Engineers deploying AI workloads across hybrid environments.Homelab Builders and advanced hobbyists exploring edge or on-prem AI clusters.Infrastructure Architects modernizing AI pipelines with open, modular components.Build, Automate, and Accelerate AI On-PremWhether you’re training models, serving LLMs, or optimizing inference workloads, Building an AI Cloud with Proxmox VE equips you with a reproducible, secure, and production-grade foundation for your own self-hosted AI cloud.Take control of your compute, your data, and your future—with Proxmox VE and modern automation.
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