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The Complete Guide to AI Data Centers: Infrastructure, GPUs, Power, Cooling, Networking, and the Engineering Behind Modern Artificial Intelligence - Softcover
Synopsis
The Complete Guide to AI Data Centers takes readers inside the facilities that make modern artificial intelligence possible—from individual processors and servers to massive GPU clusters consuming megawatts of electricity.
Written for readers who want to understand not merely what AI data centers are, but how they actually work, this book explores the interconnected technologies required to build and operate computing infrastructure at unprecedented scale.
Beginning with the fundamentals of data centers and AI workloads, the book progresses through GPU and accelerator architecture, high-bandwidth memory, parallel computing, distributed training, high-density server racks, high-performance storage, and large-scale cluster design.
It then examines one of the defining engineering challenges of the AI era: connecting thousands of processors quickly enough for them to function as a coordinated computing system. Readers are introduced to InfiniBand, high-speed Ethernet, NVLink, RDMA, optical networking, network topology, bandwidth, latency, and the communication demands of distributed AI workloads.
But computation is only part of the story.
Modern AI infrastructure creates extraordinary demands for electricity and cooling. The book explores utility power, electrical distribution, redundancy, UPS systems, high-density rack power, thermal management, direct-to-chip liquid cooling, coolant distribution units, heat rejection, and the transition away from traditional air-cooled data center designs.
Additional topics include:
- AI training versus inference infrastructure
- GPU servers and accelerator clusters
- HBM and modern memory architecture
- Parallel and distributed computing
- AI storage and data pipelines
- Cluster scheduling and orchestration
- Reliability and fault tolerance
- Power delivery and energy consumption
- Liquid cooling and high-density thermal management
- Network bottlenecks and performance
- Hyperscale AI infrastructure
- Capacity planning and operations
- AI factories and emerging data center architectures
- The future of computing infrastructure
Rather than treating servers, networking, power, and cooling as independent subjects, The Complete Guide to AI Data Centers shows how these systems interact—and why advances in one part of the infrastructure often create entirely new challenges elsewhere.
Whether you are an IT professional, engineer, technician, data center worker, technology investor, student, AI enthusiast, or simply curious about the enormous physical infrastructure behind artificial intelligence, this book provides an accessible path from fundamental concepts to the architecture of today's most advanced AI computing facilities.
AI may be digital. The infrastructure that makes it possible is very real.
"synopsis" may belong to another edition of this title.
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The Complete Guide to AI Data Centers (Paperback)
Print on DemandSeller: Grand Eagle Retail, Bensenville, IL, U.S.A.
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Paperback. Condition: new. Paperback. The Complete Guide to AI Data Centers takes readers inside the facilities that make modern artificial intelligence possible-from individual processors and servers to massive GPU clusters consuming megawatts of electricity.Written for readers who want to understand not merely what AI data centers are, but how they actually work, this book explores the interconnected technologies required to build and operate computing infrastructure at unprecedented scale.Beginning with the fundamentals of data centers and AI workloads, the book progresses through GPU and accelerator architecture, high-bandwidth memory, parallel computing, distributed training, high-density server racks, high-performance storage, and large-scale cluster design.It then examines one of the defining engineering challenges of the AI era: connecting thousands of processors quickly enough for them to function as a coordinated computing system. Readers are introduced to InfiniBand, high-speed Ethernet, NVLink, RDMA, optical networking, network topology, bandwidth, latency, and the communication demands of distributed AI workloads.But computation is only part of the story.Modern AI infrastructure creates extraordinary demands for electricity and cooling. The book explores utility power, electrical distribution, redundancy, UPS systems, high-density rack power, thermal management, direct-to-chip liquid cooling, coolant distribution units, heat rejection, and the transition away from traditional air-cooled data center designs.Additional topics include: AI training versus inference infrastructureGPU servers and accelerator clustersHBM and modern memory architectureParallel and distributed computingAI storage and data pipelinesCluster scheduling and orchestrationReliability and fault tolerancePower delivery and energy consumptionLiquid cooling and high-density thermal managementNetwork bottlenecks and performanceHyperscale AI infrastructureCapacity planning and operationsAI factories and emerging data center architecturesThe future of computing infrastructureRather than treating servers, networking, power, and cooling as independent subjects, The Complete Guide to AI Data Centers shows how these systems interact-and why advances in one part of the infrastructure often create entirely new challenges elsewhere.Whether you are an IT professional, engineer, technician, data center worker, technology investor, student, AI enthusiast, or simply curious about the enormous physical infrastructure behind artificial intelligence, this book provides an accessible path from fundamental concepts to the architecture of today's most advanced AI computing facilities.AI may be digital. The infrastructure that makes it possible is very real. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798174114579
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The Complete Guide to AI Data Centers
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The Complete Guide to AI Data Centers: Infrastructure, GPUs, Power, Cooling, Networking, and the Engineering Behind Modern Artificial Intelligence
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The Complete Guide to AI Data Centers
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The Complete Guide to AI Data Centers : Infrastructure, GPUs, Power, Cooling, Networking, and the Engineering Behind Modern Artificial Intelligence
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Taschenbuch. Condition: Neu. Neuware - The Complete Guide to AI Data Centers takes readers inside the facilities that make modern artificial intelligence possible-from individual processors and servers to massive GPU clusters consuming megawatts of electricity.Written for readers who want to understand not merely what AI data centers are, but how they actually work, this book explores the interconnected technologies required to build and operate computing infrastructure at unprecedented scale.Beginning with the fundamentals of data centers and AI workloads, the book progresses through GPU and accelerator architecture, high-bandwidth memory, parallel computing, distributed training, high-density server racks, high-performance storage, and large-scale cluster design.It then examines one of the defining engineering challenges of the AI era: connecting thousands of processors quickly enough for them to function as a coordinated computing system. Readers are introduced to InfiniBand, high-speed Ethernet, NVLink, RDMA, optical networking, network topology, bandwidth, latency, and the communication demands of distributed AI workloads.But computation is only part of the story.Modern AI infrastructure creates extraordinary demands for electricity and cooling. The book explores utility power, electrical distribution, redundancy, UPS systems, high-density rack power, thermal management, direct-to-chip liquid cooling, coolant distribution units, heat rejection, and the transition away from traditional air-cooled data center designs.Additional topics include: - AI training versus inference infrastructure- GPU servers and accelerator clusters- HBM and modern memory architecture- Parallel and distributed computing- AI storage and data pipelines- Cluster scheduling and orchestration- Reliability and fault tolerance- Power delivery and energy consumption- Liquid cooling and high-density thermal management- Network bottlenecks and performance- Hyperscale AI infrastructure- Capacity planning and operations- AI factories and emerging data center architectures- The future of computing infrastructureRather than treating servers, networking, power, and cooling as independent subjects, The Complete Guide to AI Data Centers shows how these systems interact-and why advances in one part of the infrastructure often create entirely new challenges elsewhere.Whether you are an IT professional, engineer, technician, data center worker, technology investor, student, AI enthusiast, or simply curious about the enormous physical infrastructure behind artificial intelligence, this book provides an accessible path from fundamental concepts to the architecture of today's most advanced AI computing facilities.AI may be digital. The infrastructure that makes it possible is very real. Seller Inventory # 9798174114579
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The Complete Guide to AI Data Centers (Paperback)
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Paperback. Condition: new. Paperback. The Complete Guide to AI Data Centers takes readers inside the facilities that make modern artificial intelligence possible-from individual processors and servers to massive GPU clusters consuming megawatts of electricity.Written for readers who want to understand not merely what AI data centers are, but how they actually work, this book explores the interconnected technologies required to build and operate computing infrastructure at unprecedented scale.Beginning with the fundamentals of data centers and AI workloads, the book progresses through GPU and accelerator architecture, high-bandwidth memory, parallel computing, distributed training, high-density server racks, high-performance storage, and large-scale cluster design.It then examines one of the defining engineering challenges of the AI era: connecting thousands of processors quickly enough for them to function as a coordinated computing system. Readers are introduced to InfiniBand, high-speed Ethernet, NVLink, RDMA, optical networking, network topology, bandwidth, latency, and the communication demands of distributed AI workloads.But computation is only part of the story.Modern AI infrastructure creates extraordinary demands for electricity and cooling. The book explores utility power, electrical distribution, redundancy, UPS systems, high-density rack power, thermal management, direct-to-chip liquid cooling, coolant distribution units, heat rejection, and the transition away from traditional air-cooled data center designs.Additional topics include: AI training versus inference infrastructureGPU servers and accelerator clustersHBM and modern memory architectureParallel and distributed computingAI storage and data pipelinesCluster scheduling and orchestrationReliability and fault tolerancePower delivery and energy consumptionLiquid cooling and high-density thermal managementNetwork bottlenecks and performanceHyperscale AI infrastructureCapacity planning and operationsAI factories and emerging data center architecturesThe future of computing infrastructureRather than treating servers, networking, power, and cooling as independent subjects, The Complete Guide to AI Data Centers shows how these systems interact-and why advances in one part of the infrastructure often create entirely new challenges elsewhere.Whether you are an IT professional, engineer, technician, data center worker, technology investor, student, AI enthusiast, or simply curious about the enormous physical infrastructure behind artificial intelligence, this book provides an accessible path from fundamental concepts to the architecture of today's most advanced AI computing facilities.AI may be digital. The infrastructure that makes it possible is very real. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798174114579
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