SKU: 18451057421

KÄRCHER AF 100 Air Purifier without H13 Filter

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Description

KÄRCHER AF 100 Air Purifier without H13 FilterProduct overview Eliminates bacteria, allergens, odours and much more Ensures optimal air quality within a very short time Powerful motor for rooms from 87 100 m2 Sensor checks room air and controls automatic mode Air quality display by means of colour scheme KRCHER AF 100 Air Purifier The mobile and highly efficient KRCHER air purifier AF 100 eliminates bacteria, allergens, odours and volatile organic substances within a very short time and ensures

Product overview
  • Eliminates bacteria, allergens, odours and much more
  • Ensures optimal air quality within a very short time
  • Powerful motor for rooms from 87 - 100 m2
  • Sensor checks room air and controls automatic mode
  • Air quality display by means of colour scheme

KÄRCHER AF 100 Air Purifier

The mobile and highly efficient KÄRCHER air purifier AF 100 eliminates bacteria, allergens, odours and volatile organic substances within a very short time and ensures optimal air quality in healthcare, retail, offices and private households. Depending on the variant, it can be used for rooms between 87 and 100 m2 thanks to the powerful motor, which has three speed settings.


To continuously ensure good air quality, the air purifier from KÄRCHER works with an integrated laser sensor that monitors the room air and controls the automatic mode. On the practical and clear display, users can view the air quality, which is displayed in a clear colour-coded diagram, the current fine dust content and the remaining filter life at any time. In addition, the AF 100 is user-friendly, easy to maintain and has exceptionally quiet operation.


The KÄRCHER AF 100 air purifier is optionally available with or without a H13 filter. Both versions have a pre-filter, an activated carbon filter and a dual filter system. While the model without a H13 filter includes a Universal Solution filter instead, the High Protect 13 filter ensures a high level of safety. If the personal requirements for the air purifier differ, it can be equipped with different filters that are optionally available.


Product Details

  • KÄRCHER AF 100  Air Purifier
  • Eliminates bacteria, allergens, odours & volatile organic substances
  • Ensures optimal air quality within a very short time
  • Powerful motor for rooms from 87 - 100 m2
  • With laser sensor to monitor room air and control automatic mode
  • Shows the air quality by means of a colour-coded diagram on the display
  • Measures the current fine dust content in the air and displays the value
  • Filter life can be viewed at any time
  • Mobile and flexible use thanks to the smooth-running castors
  • Can be equipped with different filters depending on requirements
  • Has three speed settings
  • User-friendly, easy maintenance and quiet operation
  • For health care, offices, private households and retail
  • Available with or without H13 filter

Technical Data


 Without H13-Filter With H13-Filter
Sound pressure level (dB(A))
 Min. 26 - max. 48
Suitable room size (m2)
 up to 100 up to 87 
Air flow rate (m3/h) up to 750 up to 650
Type of current (Ph/V/Hz) 1 / 220 - 240 / 50 - 60
Input power (W) max. 80
Weight without accessories (kg) 11.3
Weight incl. packaging (kg) 17.2 16.8
Dimensions in mm (L x W x H) 380 x 380 x 713
Filter Equipment
 Pre-filter
Active carbon filter
Universal Solution
Dual filter system		 Pre-filter
Active carbon filter
High Protect 13 Filter
Dual filter system
Cable length (mm) 2.25
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SKU: 18451057421

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4.7 ★★★★★
Based on 9 reviews
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Product Reviews
N
Nader
Fort Morgan, 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
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 31, 2025
N
noam barkay
Dallas, 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
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 9, 2025
R
Ryan Meyer
Belleville, US
★★★★★ 3
A Broad Overview, But Light on Modern Fine-Tuning
Format: Paperback
I'm currently really interested in fine-tuning LLMs and recently completed my first LoRA-based fine-tuning on a quantized model. I came to this book looking for more detail on fine-tuning. While it touches on the topic, I found the content didn’t quite align with the current state of the field in 2025. Techniques like LoRA, QLoRA, and PEFT weren’t really covered, and the material leaned more toward what I think are older or lower level approaches. That made it harder to connect with what I’m actually working on. That said, when I shifted to other chapters — like the sections on prompt engineering techniques such as Chain of Thought (CoT) and Tree of Thought (ToT) — I found more value. These sections were clearer, and I picked up a few practical insights, like using few-shot examples that walk through the CoT reasoning process. That’s not something I’ve tried before, and I can see how it might help smaller models that struggle with any type of reasoning tasks. Overall, the book feels more like a broad overview of all LLM concepts. For someone exploring many topics across the LLM ecosystem, it offers a wide-ranging introduction. But for readers like me who are actively trying to learn and apply techniques like fine-tuning and quantization, it may leave you wanting up-to-date guidance.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 10, 2025
V
Vineeth Sai
Draper, US
★★★★★ 5
Great foundation read for security!
Format: Paperback
This book is a great read! It builds a strong foundation and I would highly recommend it for builders who are interetsed in building on LLMs and ensuring everything is secure. Security is super important and this book does it justice!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 27, 2025
C
Verified Purchase
CL
Omaha, US
★★★★★ 5
Loved it
Format: Paperback
I’ve easily read dozens of tech books. I liked this one a lot. Sure, there were boring parts, but most of it was engaging, especially on dry subjects. I previously read “How AI Works” and found this more informative and way more enjoyable. I got through the 700 pages in about 5 weeks while also learning about probability and linear algebra from other books and online sources. I’d love to read something more advanced by the author, maybe getting into more modern applications. I feel more comfortable with the subject and feel I am now ready to conquer more advanced texts. I initially picked this up to give me some background before reading “How to Build a LLM (from scratch)”. I’ve ordered an intermediary Deep Learning with Python book as well, but wouldn’t mind a more advanced theory book to accompany these books. I’ll definitely be rereading sections of this book to further familiarize myself with topics like backpropagation. Highly recommend if you’re looking for a gentle, but broad introduction to the topic.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 14, 2025

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