Lian-Li Case O11AMX Mid-Tower Tempered Glass 2x2.5" or 2x3.5" EATX/ATX/M-ATX/ITX Black Retail
SKU: 87168729928

Lian-Li Case O11AMX Mid-Tower Tempered Glass 2x2.5" or 2x3.5" EATX/ATX/M-ATX/ITX Black Retail

$124.19 $137.99
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Description

Lian-Li Case O11AMX Mid-Tower Tempered Glass 2x2.5" or 2x3.5" EATX/ATX/M-ATX/ITX Black RetailMPN O11AMX PRODUCT NAME O11 Air MINI COLOR Black MATERIAL 4mm Aluminum Panel 0. 8mm Mesh Panel 4. 0 mm Tempered Glass MOTHERBOARD SUPPORT E ATX (Max 280 mm wide) ATX Micro ATX Mini ITX PSU SUPPORT ATX (Max. 200 mm) INCLUDED FAN (Front) 2 X 140mm PWM Fan (Rear) 1 X 120mm PWM Fan FAN SUPPORT (Top) 120mm X3 140mm X2 (Side) 120mm X2 (Bottom) 120mm X2 140mm X2 (Front) 120mm X2 140mm X2 (Rear)120 mm X1 RADIATOR SUPPORT (Top) 240mm or 280mm (Side) 240mm

MPN
O11AMX
PRODUCT NAME
O11 Air MINI
COLOR
Black
MATERIAL
4mm Aluminum Panel
0.8mm Mesh Panel
4.0 mm Tempered Glass
MOTHERBOARD SUPPORT
E-ATX (Max 280 mm wide)/ ATX/ Micro-ATX/ Mini-ITX
PSU SUPPORT
ATX (Max. 200 mm)
INCLUDED FAN
(Front) 2 X 140mm PWM Fan
(Rear) 1 X 120mm PWM Fan
FAN SUPPORT
(Top) 120mm X3 / 140mm X2
(Side) 120mm X2
(Bottom) 120mm X2/ 140mm X2
(Front) 120mm X2/ 140mm X2
(Rear)120 mm X1
RADIATOR SUPPORT
(Top) 240mm or 280mm
(Side) 240mm
(Bottom) 240mm or 280mm
(Front) 240mm or 280mm
DRIVE SUPPORT
6 X 2.5" SSD or 2 X 2.5" SSD + 4 X 3.5" HDD
GPU LENGTH CLEARANCE
362 mm
CPU HEIGHT CLEARANCE
170 mm
EXPANSION SLOTS
7 or 5 (depends on the back panel)
I/O PORTS
2 X USB 3.0
1 X USB 3.1 Type-c
1 X HD Audio
DUST FILTER
1 x removable bottom dust tray
Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
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Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
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SKU: 87168729928

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4.1 ★★★★★
Based on 1416 reviews
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Product Reviews
D
Verified Purchase
David Escobar
Dallas, US
★★★★★ 1
Nothing new
Format: Audiobook
There nothing new in this book you will defiantly find this content in any leadership book
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 16, 2019
F
Verified Purchase
Filipe Fernandes
Belleville, US
★★★★★ 5
Great book
Format: Paperback
Love the fact you put examples in python and javascript. Great book.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 10, 2025
E
Verified Purchase
Eddwin Paz
Lexington, US
★★★★★ 5
proper documentation from langchain
Format: Paperback
Liked the book. But Still missing Human in the loop.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 19, 2025
B
Verified Purchase
B. Black
Belleville, US
★★★★★ 3
Already outdated
Format: Paperback
Concepts are sound but the code in this book is already obsolete
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 5, 2025
J
Joe Faith
Fort Morgan, US
★★★★★ 5
Unlocking Practical AI: A Developer’s Guide to Building with LLMs and LangChain
Format: Paperback
If you're a developer eager to move beyond LLM experimentation and build robust, context-aware AI applications, this book offers both inspiration and practical guidance. The authors open with a clear passion for the transformative potential of large language models (LLMs) and LangChain, framing these technologies as not just enhancements to the developer’s toolkit, but as gateways to new kinds of “thing-building” superpowers. This sense of possibility is grounded in step-by-step instruction, making the book approachable for those with Python or JavaScript backgrounds who may be new to the world of production-grade AI agents. What stands out is the book’s careful scaffolding: starting with foundational concepts like prompt-based programming and progressing to advanced capabilities such as retrieval-augmented generation, agent planning, and tool integration. Each stage is contextualized with real-world use cases, like customizing chatbots to interact with your own documents, personalizing user experiences through memory, and deploying to production with reliability and security in mind. The focus on chain-of-thought reasoning and LangGraph’s agent architecture demonstrates the authors’ awareness of the current state of AI, where context and planning are just as important as raw language ability.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 17, 2025

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