SKU: 27052746274

Roller Bag - Surfanic Maxim 70 litre - Frostbite

Sale price$1799.55 Regular price$1999.50
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Description

Roller Bag - Surfanic Maxim 70 litre - FrostbiteMaxim 3. 0 The Next Generation of Innovation Sharing all the features of its larger counterparts, the Maxim 3. 0 70L is the perfect size for a weekend in the mountains or an extended period of lightweight travel. Weighing under 4 kg, the 70L Maxim is both lightweight and durable. The dual front grab handles, now standard across the entire range, give this luggage a striking look. All 3. 0 Maxim luggage now features our new, stronger trolley system.

Maxim 3.0 - The Next Generation of Innovation

Sharing all the features of its larger counterparts, the Maxim 3.0 70L is the perfect size for a weekend in the mountains or an extended period of lightweight travel. Weighing under 4 kg, the 70L Maxim is both lightweight and durable. The dual front grab handles, now standard across the entire range, give this luggage a striking look. All 3.0 Maxim luggage now features our new, stronger trolley system. The lightweight aluminum tubing has been significantly strengthened, and the reassuring swish of activation feels effortless. Crafted from durable, waterproof, heavy-duty 600D polyester, this bag is reinforced in all the right places. It comes packed with features, including robust lockable zippers, premium low-noise integrated wheels, dual front grab handles, separate compartments, 4-way compression straps, and a kick plate for added durability.

Why Choose the Split-Level Roller Design?

The split-level roller design offers numerous advantages over traditional hard-shell suitcases. It makes traveling outside of airports easier, helps organize your gear, keeps wet items away from dry ones, and separates clean from dirty. The soft bag can be easily packed into transport, and the versatile compression straps secure smaller loads, ensuring your belongings stay in place and arrive looking neat.

Features

  • 70 litres of storage space:Perfect for a weekend away or longer if traveling light.
  • Split-level design:Separate compartments for better organization, keeping wet away from dry or clean away from dirty.
  • Durable 2-way lockable zipper
  • Premium low-noise integrated wheels
  • 4-way compression straps
  • Kick plate:Adds extra durability.
  • Strong lightweight aluminum drag handle
  • Easy-find mesh with additional zipped pockets
  • Dual front grab handles
  • Corner guards

Packed Dimensions

  • L:63 cm
  • W:34 cm
  • D:34 cm

Empty Storage Dimensions

  • L:63 cm
  • W:34 cm
  • D:20 cm
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: 27052746274

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4.4 ★★★★★
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A
Allen Wyma
Boise, US
★★★★★ 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
O
Om S
Waukegan, US
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 25, 2025
J
Jiewen Wang
Alexandria, US
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 2, 2025
N
Nader
Waukegan, US
★★★★★ 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
N
noam barkay
Phoenix, US
★★★★★ 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

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