SKU: 28713220616

EVW-MiFi 5G SIM Personal Internet Device

Sale price$145.80 Regular price$162.00
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Description

EVW-MiFi 5G SIM Personal Internet DeviceExperience the Future of connected In Car Entertainment with the Smart EVW Custom Mifi device The EVW Custom MiFi Device is a high performance 5G mobile hotspot engineered for seamless integration and professional grade connectivity. Featuring a specially developed firmware version, this unit is optimized for stable, high speed data transmission, making it the ideal companion for the Dudu7 head unit. When connected via the USB C port, the EVW Custom

Experience the Future of connected In-Car Entertainment with the Smart EVW-Custom Mifi device

​The EVW Custom MiFi Device is a high-performance 5G mobile hotspot engineered for seamless integration and professional-grade connectivity. Featuring a specially developed firmware version, this unit is optimized for stable, high-speed data transmission, making it the ideal companion for the Dudu7 head unit. When connected via the USB-C port, the EVW Custom MiFi is recognized by the head unit as a wired Ethernet connection. This unique hardware-software synergy ensures that the head unit’s WiFi remains fully available for wireless smartphone integration, such as CarPlay or Android Auto, without interference or signal congestion.

​Beyond the vehicle, the device offers total portability with a built-in battery backup, allowing you to maintain a secure, private 5G network wherever you go. The unit is fully unlocked to any network, providing the flexibility to choose the best provider for your needs.

Key Features

  • Specialized Firmware: Custom-coded for maximum compatibility with Dudu7 head units, enabling "Plug & Play" wired Ethernet recognition via USB-C.
  • Dual-Interface Efficiency: By tethering as a wired connection, it preserves the head unit’s WiFi bandwidth for dedicated CarPlay and Android Auto use.
  • 5G Ultra-Fast Connectivity: Supports the latest 5G bands with 4G LTE fallback, delivering multi-gigabit download speeds for streaming, navigation, and more.
  • Next-Gen WiFi 6: Provides faster speeds and increased capacity for up to 30 connected devices simultaneously when used as a portable hotspot.
  • All-Day Portability: Equipped with a high-capacity internal battery for use away from the vehicle; can also function as a power bank to charge other mobile devices.
  • Network Versatility: Fully unlocked and compatible with nano-SIM cards from any carrier (5G SIM options subject to availability).
  • Intuitive Interface: Features a 2.4-inch color touchscreen for real-time monitoring of data usage, signal strength, and connected devices.
  • Enterprise-Grade Security: Advanced encryption (WPA3), VPN pass-through, and hacker prevention tools keep your data secure.
  • Quick Charging: Utilizes USB-C technology for rapid recharging it's 5050mAh battery, ensuring you are always powered up and ready to move. The unit can even be used as a power bank if required.

Additional Options

  • Split data & dual power cable A+A>C: An optional cable that provides an additional USB power source to the Smart connect box, ideal for full-time powering for vehicle tracking or as a switchable WiFi hotspot.
  • Roaming 5G Data SIM: Inquire about limited availability for a subscription-free, one-off payment 5G worldwide roaming data SIM. Call 01536 697 893 for details. Please note this options is non-returnable once activated in the unit. 
Shipping Notes
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Exchange/Return Notes
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  • Final sale items are not eligible for returns or exchanges.
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SKU: 28713220616

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4.1 ★★★★★
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Verified Purchase
Amazon Customer
New York, US
★★★★★ 4
Just learning it
Format: Paperback
Nice learning book just have to finish it
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 10, 2025
K
Verified Purchase
Kindle Customer
Lexington, US
★★★★★ 5
Very useful book
Format: Paperback
I use it for the machine learning class I teach.
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Reviewed in the United States on May 3, 2026
T
Verified Purchase
Tommy Jonsson
Houston, US
★★★★★ 5
Cover many areas in detail and recommendations for more to read for what's outside
Format: Paperback
Good book!
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Reviewed in the United States on May 4, 2026
M
Verified Purchase
Moses Kayanda
Lowell, US
★★★★★ 5
One of the best machine learning books...
Format: Paperback, Format: Paperback
Machine Learning can often be intimidating whether you are starting out or already a practitioner. It is easy to get stuck on one concept, walk away frustrated, or just copy that code you find on StackOverflow without really understanding what it does. What the authors of this book, Machine Learning with PyTorch and Scikit-Learn, have managed to do is to keep the reader engaged giving a deeper illustration as to how the concepts work. In this book, you get practical code examples, a detailed explanation of how the various library tools work, and exposure to the mathematical concepts behind machine learning algorithms. In addition, what I like about the book unlike many machine learning books is that the authors have managed to intuitively explain how each algorithm works, how to use them, and the mistake you need to avoid. I have not read a Machine Learning book that better explains Transformers as this one does. The authors have managed to give a detailed dive into this model architecture through well-explained codes and illustrations. As a reader, you walk away having intuitively grasped the concepts of attention and self-attention in ways that will make this crucial NLP architecture clear. You get exposed to pre-trained models from HuggingFace library which really helps to have that hands-on experience working with large datasets. As they have done throughout the book, the authors have broken down those complex mathematical operations into simple explanations that are easy to follow. What I generally like about the book is how it seamlessly connects all the chapters, not throwing off the reader. There are numerous external resources quoted throughout the book. This helps spark that curiosity to dig deeper. In addition, you get introduced to PyTorch, getting exposed to all those sophisticated libraries that help the reader learn how to maximize their compute power. I would say it is not intimidating at all even if you have not used PyTorch before. I would recommend this book to anybody seeking a textbook that is both easy to read and modern in its content. If were to rate the book I will give it a 10/10 as it really applies to both beginners and experienced practitioners, covers all the concepts one needs to apply in their operations, and acts as a quick reference.
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Reviewed in the United States on March 1, 2022
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Verified Purchase
Gabe Rigall
Waukegan, US
★★★★★ 5
Thorough Primer for Machine Learning and PyTorch
Format: Paperback
BLUF: A thorough primer for machine learning enthusiasts with plenty of theory to underscore its many practical examples. A definite must-have for anyone looking to add PyTorch to their machine learning tool belt. PROS: - Extremely thorough (if not comprehensive). I really appreciate that this book doesn't just thrust one into building models with PyTorch. It starts at the "beginning" and provides examples, theory, additional resources, and citations along the way. - Theory. Those whose calculus and linear algebra courses ended many years ago will appreciate (if not remember exactly) the mathematical theory and notation that accompanies almost every paragraph. This book gives one the opportunity to "dig deeper" or stay in the shallows until the notation stops. - Python. Rather than simply utilizing Scikit-Learn to illustrate concepts and introduce models, this book contains many sections where models (such as a Perceptron) are coded from the ground up so the reader can fully understand the underlying mechanics. Python enthusiasts will nerd out. Parents of small children might want to skip a few pages. - Graphs, charts, and graphics. There are plenty of places where a drier text might have foregone the use of graphs. This text does not. It does however refrain from overusing them. - PyTorch. This should be obvious from the title, but this text prioritizes PyTorch instead of TensorFlow. This is especially helpful for those looking for an alternative to Keras and TensorFlow as the PyTorch API is very user-friendly. CONS: - Almost too much code. This isn't a true "con" but anyone wanting to emulate or follow along with the examples would do well to get the digital edition so they can copy and paste. - Length and complexity. Anyone hoping for a "quick read" or a "quick start guide" will be disappointed. This book hovers somewhere between an undergraduate primer and a graduate-level text for length and readability. This is not to say that it's difficult to read, merely that there are other "quick start" / "practical" texts out there that cater more to a lay audience.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 26, 2022

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