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Description
100 Watt USB C Charger, 100W 4-Port Charging Station, Fast USB C Charger Block for iPhone 12/12 Pro/12 Pro Max/SE/11/XR/XS, Samsung, MacBook Pro/Air, iPad, Laptops, AirPods, Apple Watch, Black Best in Class PerformanceQuick Details Type: USB wall charger, Power Supply Adapter, Universal Adapter Certification: FCC CE ROHS ETL CB Usage: Universal Material: PC Fireproof Material, Gan Protection: Short Circuit Protection, ovp, OTP, OLP, ocp, Over charging, Overcurrent, Overvoltage Private Mold: Yes Function: QC2. 0, QC3. 0, PD, PD 3. 0, PD 2. 0 Port: 4 X USB, 4Port: 3 TYPE C+1USB A QC SCP Input voltage and current: 100 240V 2. 5A output voltage and current: 5V 3A, 5V
Quick Details
- Type:USB wall charger, Power Supply Adapter, Universal Adapter
- Certification:FCC CE ROHS ETL CB
- Usage:Universal
- Material:PC Fireproof Material, Gan
- Protection:Short Circuit Protection, ovp, OTP, OLP, ocp, Over-charging, Overcurrent, Overvoltage
- Private Mold:Yes
- Function:QC2.0, QC3.0, PD, PD 3.0, PD 2.0
- Port:4 X USB, 4Port: 3 TYPE-C+1USB-A QC/SCP
- Input voltage and current:100-240V/2.5A
- output voltage and current:5V/3A, 5V/4A, 20V/5A, 15V/3A, 12V/3A, 9V/3A
- Output Power:100W
- Product name:4 Port GaN Fast PD Charger
- Color:White Black Customized
- Warranty:2 Years
- Compatible:USB-C LAPTOP, TABLET AND SMARTPHONE
- Key Feature1:Compact Size
- Key Feature2:High Efficient
- Key Feature3:GaN Tech
-
Charging efficiency:86-88%
SpecificationProduct Name100W GaN Tech Super Fast 4 Port 3C1A PD Charger with Foldable PlugTypeUSB PD Wall Charger, USB PD Charger, Power Supply Adapter, Universal Adapter, Universal Travel AdapterMaterialHalogen-free Fireproof PC, PCBABrand NameGANCertificationETL DOE CB CE FCC RoHS PSE CCCProtectionOver Current Protection, Short Circuit Protection, Over Voltage Protection, Over Temperature ProtectionMaterial QualityPermiumWarranty time2 yearsCompatible deviceLaptop, Tablet, SmartPhone, Camera, Other USB Charging deviceCompatibilityUniversalOutput Power100WAverage Efficiency86-88%Port4 Port: 3 USB-C + 1 USB-ANet Weight200gSize30.6*55*85mm (1.2*2.2*3.3“)ColorBlackOtherFast OEM/ODM is welcomeProducts DescriptionInput100-240V 1.5A MaxCompatible Device:MacBook 2016, 2017, 2018, 2019, 2020; iPhone 12 / 12Pro / 11 / 11 Pro / 11 Pro Max / XS Max / XS / XR / X / 8 Plus / 8 / iPhone
SE; iPad mini 4 and iPad Pro; Samsung Galaxy S9 / S9+ / S8 / S8+ / S7 / LG / HTC / Nexus, Pixel, or other compatible USB charging
devicePlug：US/JAPAN/CHINA/EU/UKCommunication Protocol:TYPE-C: PD3.0, PPS, QC4.0, QC3.0, QC2.0, SCP, FCP, AFC, APPLE2.4A, BC1.2.USB-A: QC3.0, 2.0, SCP, FCP, AFC, APPLE2.4A, BC1.2, with IQ function.Output Power AllocationUSB-C1/USB-C2PD: 100W Max: 20V5A / 15V3A / 12V3A / 9V3A / 5V3APPS: 3.3-20V/5AUSB-C3/USB-A60W Max: 20V3A / 12V3A / 9V3A / 5V3A / 5V4.5A / 4.5V5ADual PortC1+C295W Max: 65W+30W/30W+65WC1/C2: 20V3.25A / 15V3A / 12V3A / 9V3A / 5V3A
C2/C1: 20V1.5A/ 15V/2A 12V2.5A / 9V3A / 5V3ADual PortC1/C2+C3/A95W Max: 65W+30WC1/C2: 20V3.25A / 15V3A / 12V3A / 9V3A / 5V3A
C3/A: 20V/1.5A/ 15V/2A 12V2.5A / 9V3A / 5V3ADual PortC3+A15W: 5V/3AThree PortC1+C2+C395W Max: 45W+30W+20WC1: 20V2.25A / 15V3A / 12V3A / 9V3A / 5V3A
C2: 20V1.5A / 15V2A / 12V2A / 9V3A / 5V3A
C3: 12V1.67A/ 9V2.22A/ 5V3AThree PortC1+C2+A93W Max: 45W+30W+18WC1: 20V2.25A / 15V3A / 12V3A / 9V3A / 5V3A
C2: 20V1.5A / 15V2A / 12V2A / 9V3A / 5V3A
A: 12V1.5A/ 9V2A/ 5V3AThree PortC1/C2+C3+A80W Max: 65W+15WC1/C2: 20V3.25A / 15V3A / 12V3A / 9V3A / 5V3A
C3+A: 5V3AFour PortC1+C2+C3+A290W Max: 45W+30W+15WC1: 20V2.25A / 15V3A / 12V3A / 9V3A / 5V3A
C2: 20V1.5A / 15V2A / 12V2A / 9V3A / 5V3A
C3+A: 5V3A
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4.2 ★★★★★
Based on 17 reviews
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Product Reviews
★★★★★ 5
Great Resource when Integrating AI
Format: Kindle
This is a great resource when building systems that integrate with AI. It manages to cover the entire lifecycle and even tips for corporate environments!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 26, 2025
★★★★★ 4
Title: Really Good Book for Learning LLMs
Format: Paperback, Format: Paperback
I picked up this book after struggling with LLM implementation at work. Ken Huang explains things clearly without too much technical jargon.
The book covers everything from data preparation to building AI agents. I especially liked the chapters on RAG and prompting techniques - they helped me improve my current projects. The code examples actually work, which is nice.
Some parts are pretty advanced, so you need basic Python knowledge. I had to read a few chapters twice to fully get it. The fairness and bias detection section was eye-opening.
Good practical advice throughout. Not just theory - real solutions you can use. Worth the money if you're serious about LLM development.
Recommended for anyone building AI systems professionally.
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Reviewed in the United States on July 25, 2025
★★★★★ 5
a comprehensive guide at the intersection of generative AI and cybersecurity
Format: Kindle
This book blends deep theoretical foundations with practical frameworks and forward-looking strategies. From adversarial risk models to actionable guidance using OWASP Top 10 for LLMs and the NIST AI RMF, it offers both technical depth and operational clarity.
What makes it stand out is its balance of academic rigor and real-world CISO insights, providing a holistic perspective on securing GenAI systems. While it leans enterprise-focused, the content remains accessible to security engineers, risk managers, and policy leaders alike.
Generative AI Security is a timely and essential read for anyone working to deploy GenAI responsibly—building systems with both power and integrity in today’s fast-evolving threat landscape.
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Reviewed in the United States on July 2, 2025
★★★★★ 1
Light on substance and heavy on flaws
Format: Paperback
The book has a great list of topics, but fails to provide much substance any of them.
Most of the provided code is just comments that avoid the actual crux of the issues being discussed. (e.g. #implement the logic to validate XYZ - while the whole point of this chapter is teach how the heck we validate XYZ!)
Some parts are plain wrong, for example the part on Graph based RAG is fundamentally flawed as it assumes the text embedding and the graph embedding are in the same latent space. (This is one of many more examples).
Seems like the book was rushed, and the author has limited hands on experience (if any).
At least we know based on the amount of flaws that it was not written by an LLM
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Reviewed in the United States on December 31, 2025
★★★★★ 5
Excellent book to truly understand LLM design patterns
Format: Paperback
I just finished reviewing Ken Huang's pocket book on LLM Design Patterns, and WOW what an amazing resource! This book is excellent if you want to truly understand how to create and enhance intelligent AI language models, all that in your pocket!
Ken makes the difficult things seem surprisingly easy, and that's the real MAGIC.
- How to prepare your data for training by making it extremely clean.
Developing the brains: the practical aspects of training, optimizing, and maintaining your models.
- Learn amazing prompting techniques (such as Chain-of-Thought and Tree-of-Thoughts) to improve your AI's reasoning and problem-solving abilities.
Learn everything there is to know about RAGs so that your LLM can incorporate outside expertise.
- It also delves into creating "agentic" AI that is capable of action and planning (not only simple plan and execute but also enhanced techniques like ReWoo!)
Really, this feels like a useful toolkit, so Ken thank you for that resource
Thanks, Idan Habler
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Reviewed in the United States on June 9, 2025