SKU: 11213796104

Asics Gel-Nimbus 27 Women's Running Shoes Whisper Green

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Description

Asics Gel-Nimbus 27 Women's Running Shoes Whisper GreenASICS GEL NIMBUS 27 Women's Neutral Running Shoes Width: Standard Maximum Cushion The GEL NIMBUS 27 shoe's soft cushioning properties help you feel like you're landing on clouds. This neutral trainer is revamped with new materials that create a softer and smoother running experience. A soft knit upper comfortably wraps your foot while supplying advanced ventilation. Its updated knit tongue construction provides better flexibility and extends around

ASICS GEL-NIMBUS™ 27

Women's Neutral Running Shoes
Width: Standard
Maximum Cushion

The GEL-NIMBUS™ 27 shoe's soft cushioning properties help you feel like you're landing on clouds.
This neutral trainer is revamped with new materials that create a softer and smoother running experience.
A soft knit upper comfortably wraps your foot while supplying advanced ventilation.
Its updated knit tongue construction provides better flexibility and extends around the ankle for a more luxurious fit and feel.?The midsole is packed with the most cushioning that the series has offered to date.
By adding more FF BLAST™ PLUS cushioning and using our new PureGEL™ technology, this trainer creates a lighter and softer cushioning experience.

What makes the GEL-NIMBUS™ 27 running shoe so comfortable?

Innovative Rearfoot PureGEL™ technology improves shock absorption, reducing the impact on your joints and keeping you running comfortably.
FF BLAST™ PLUS ECO foam delivers softer landing and premium cushioning to keep you feeling comfortable.
Breathable upper and collar construction deliver an unmatched fit for ultimate comfort.
What else makes the GEL-NIMBUS™ 27 shoe stand out?

This shoe is designed with your comfort in mind, and we’ve spent endless hours testing and perfecting it at our Institute of Sport Science (ISS) in Japan. The GEL-NIMBUS™ 26 running shoe includes additional technical features to support you during your runs, which you’ll find listed under ‘Tech & Features’ below.

Tech & Features
Engineered knit upper wraps the foot with a soft feel while improving breathability
At least 75% of the shoe's main upper material is made with recycled content to reduce waste ;and carbon emissions
The sockliner is produced with the solution dyeing process that reduces water usage by approximately 33% and carbon emissions by approximately 45% compared to the conventional dyeing technology
PureGEL™ technology improves impact absorption and creates a softer feeling at footstrike
FF BLAST™ PLUS cushioning creates a softer landing and a more responsive toe-off
OrthoLite™ X-55 sockliner improves step-in comfort
Reflective details are designed to improve visibility in low-light conditions
AHAR™ outsole rubber improves durability

Details
Surface Road
Heel Drop 8mm
Weight 265 g/9.3 oz
Support Neutral
Cushion Maximum

Neutral
Foot Type: Normal size arches
Push Off: There is even distribution from the front of the foot.
How your foot contacts the ground:
The foot lands on outside of the heel, then rolls inward (pronates) to absorb shock and support body weight.

Colour:  Whisper Green

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SKU: 11213796104

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4.7 ★★★★★
Based on 7 reviews
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Product Reviews
N
Nader
Charlottesville, 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
Charlottesville, 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
Lake Worth, 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
Port Orchard, 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
Natrona Heights, 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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