The Economics of AI Infrastructure for AI Engineering and Large Language Models Volume 1 (Paperback)
Language: English
Published by Independently Published, 2026
Series: Book 1 of 2 - The Economics of AI Infrastructure for AI Engineering and Large Language Models
- Softcover
- New
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
AbeBooks seller since June 29, 2022
Condition: New
£ 31.49
Quantity: 1 available
Add to basketItem description from seller
Paperback. Artificial intelligence is transforming industries, reshaping software development, and redefining the future of computing. But behind every AI-generated response lies a question few people ask: Why is AI so expensive?Every token generated by a large language model consumes compute resources. Every inference request requires memory, networking, energy, and specialized hardware. Every AI application depends on a vast infrastructure ecosystem working behind the scenes to transform computation into intelligence.This book explores the hidden economics of modern AI systems.Rather than focusing on prompt engineering or machine learning theory, The Economics of AI Infrastructure for AI Engineering and Large Language Models examines the physical, operational, and financial foundations that power today's AI platforms. It explains why training large language models costs millions of dollars, why inference is becoming one of the industry's largest operational expenses, and how modern organizations optimize infrastructure to deliver intelligence at scale.Written for AI engineers, software architects, technology leaders, infrastructure professionals, researchers, and serious students of artificial intelligence, this volume provides a systems-level understanding of the technologies that make large-scale AI possible.Inside this book, you'll learn: Why AI systems are fundamentally infrastructure systemsThe economics of training large language modelsHow inference workloads drive operational costsWhy GPUs and AI accelerators dominate modern AI computingThe role of memory architecture in AI performanceHow networking impacts scalability and throughputWhy AI datacenters are becoming the factories of the intelligence economyHow quantization and model optimization improve profitabilityThe architecture of modern AI serving platformsThe economics of multi-tenant AI systemsThe tradeoffs between open models and closed AI ecosystemsThroughout the book, complex technical concepts are explained through the lens of real-world infrastructure, operational tradeoffs, and business economics. Readers will gain a deeper understanding of how compute, memory, networking, storage, energy, and software systems interact to support modern AI applications.Whether you're designing AI platforms, evaluating infrastructure investments, building large language model applications, or simply seeking to understand the economics behind the AI revolution, this book provides the foundation needed to think like an AI infrastructure engineer.Because the future of artificial intelligence will not be defined solely by smarter models.It will be defined by the infrastructure that makes those models possible.Volume 1 of a 2-volume series on AI Infrastructure, AI Engineering, and Large Language Models. 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 # 9798199735797
- Title
- The Economics of AI Infrastructure for AI Engineering and Large Language Models Volume 1 (Paperback)
- Author
- Elliot D. Grayson
- Publisher
- Independently Published
- Publication year
- 2026
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 13
- 9798199735797
- Series
- Book 1 of 2: The Economics of AI Infrastructure for AI Engineering and Large Language Models
Artificial intelligence is transforming industries, reshaping software development, and redefining the future of computing. But behind every AI-generated response lies a question few people ask:
Why is AI so expensive?
Every token generated by a large language model consumes compute resources. Every inference request requires memory, networking, energy, and specialized hardware. Every AI application depends on a vast infrastructure ecosystem working behind the scenes to transform computation into intelligence.
This book explores the hidden economics of modern AI systems.
Rather than focusing on prompt engineering or machine learning theory, The Economics of AI Infrastructure for AI Engineering and Large Language Models examines the physical, operational, and financial foundations that power today's AI platforms. It explains why training large language models costs millions of dollars, why inference is becoming one of the industry's largest operational expenses, and how modern organizations optimize infrastructure to deliver intelligence at scale.
Written for AI engineers, software architects, technology leaders, infrastructure professionals, researchers, and serious students of artificial intelligence, this volume provides a systems-level understanding of the technologies that make large-scale AI possible.
Inside this book, you'll learn:
- Why AI systems are fundamentally infrastructure systems
- The economics of training large language models
- How inference workloads drive operational costs
- Why GPUs and AI accelerators dominate modern AI computing
- The role of memory architecture in AI performance
- How networking impacts scalability and throughput
- Why AI datacenters are becoming the factories of the intelligence economy
- How quantization and model optimization improve profitability
- The architecture of modern AI serving platforms
- The economics of multi-tenant AI systems
- The tradeoffs between open models and closed AI ecosystems
Throughout the book, complex technical concepts are explained through the lens of real-world infrastructure, operational tradeoffs, and business economics. Readers will gain a deeper understanding of how compute, memory, networking, storage, energy, and software systems interact to support modern AI applications.
Whether you're designing AI platforms, evaluating infrastructure investments, building large language model applications, or simply seeking to understand the economics behind the AI revolution, this book provides the foundation needed to think like an AI infrastructure engineer.
Because the future of artificial intelligence will not be defined solely by smarter models.
It will be defined by the infrastructure that makes those models possible.
Volume 1 of a 2-volume series on AI Infrastructure, AI Engineering, and Large Language Models.
"Synopsis" may belong to another edition of this title.
CitiRetail
Stevenage, United Kingdom
AbeBooks seller since June 29, 2022
Shipping rates from United Kingdom to U.S.A.
| Item | 7 to 14 business days | 7 to 60 business days |
|---|---|---|
| First item | £ 37.00 | £ 37.00 |
Payment methods
Store description
Online business
Seller's business information
ABC BOOKS LIMITED
10 John Street
London, United Kingdom WC1N 2EB
Terms of sale
Orders can be returned within 30 days of receipt.
Right of withdrawal
If you are a consumer you can withdraw from the contract in accordance with the following. Consumer means any natural person who is acting for purposes which are outside his trade, business, craft or profession.
Information regarding the right of withdrawal
Statutory right to withdraw
You have the right to withdraw from this contract within 14 days without giving any reason.
The withdrawal period will expire after 14 days from the day on which you acquire, or a third party other than the carrier and indicated by you acquires, physical possession of the last good or the last lot or piece.
To exercise the right of withdrawal, electronically fill in and submit a clear statement on our website, under "My Purchases" in "My Account". We will communicate to you an acknowledgement of receipt of such a withdrawal on a durable medium (e.g. by e-mail) without delay.
To meet the withdrawal deadline, it is sufficient for you to send your communication concerning your exercise of the right of withdrawal before the withdrawal period has expired.
Effects of withdrawal
If you withdraw from this contract, we will reimburse to you all payments received from you, including the costs of delivery (except for the supplementary costs arising if you chose a type of delivery other than the least expensive type of standard delivery offered by us).
We may make a deduction from the reimbursement for loss in value of any goods supplied, if the loss is the result of unnecessary handling by you.
We will make the reimbursement without undue delay, and not later than 14 days after the day on which we are informed about your decision to withdraw from this contract.
We will make the reimbursement using the same means of payment as you used for the initial transaction, unless you have expressly agreed otherwise; in any event, you will not incur any fees as a result of such reimbursement.
We may withhold reimbursement until we have received the goods back, or you have supplied evidence of having sent back the goods, whichever is the earliest.
You shall send back the goods or hand them over to CitiRetail, Stevenage, United Kingdom, without undue delay and in any event not later than 14 days from the day on which you communicate your withdrawal from this contract to us. The deadline is met if you send back the goods before the period of 14 days has expired. You will have to bear the direct cost of returning the goods. You are only liable for any diminished value of the goods resulting from the handling other than what is necessary to establish the nature, characteristics and functioning of the goods.
Exceptions to the right of withdrawal
The right of withdrawal does not apply to:
- The delivery of newspapers, journals or magazines with the exception of subscription contracts; and
- The supply of digital content which is not supplied on a tangible medium (e.g. on a CD or DVD) if you accepted when you placed your order that we could start to deliver it, and that you could not withdraw once delivery had started.
Shipping terms
Please note that titles are dispatched from our US, Canadian or Australian warehouses. Delivery times specified in shipping terms. Orders ship within 2 business days. Delivery to your door then takes 7-14 days.