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Description
Osprey Tempest 40 BackpackThe Tempest 40 was designed with lightweight multi day trips and travelers in mind. When navigating technical terrain, an injection molded AirScape backpanel and continuous wrap harness and hipbelt move with you. This streamlined women's specific pack features a separate sleeping bag compartment with a removable divider, zippered hip pockets, ice axe and trekking pole attachment points and reservoir sleeve. Constructed with high quality bluesign
The Tempest 40 was designed with lightweight multi-day trips and travelers in mind. When navigating technical terrain, an injection-molded AirScape® backpanel and continuous-wrap harness and hipbelt move with you. This streamlined women's-specific pack features a separate sleeping bag compartment with a removable divider, zippered hip pockets, ice axe and trekking pole attachment points and reservoir sleeve. Constructed with high-quality bluesign®-approved recycled high-tenacity nylon with a PFC-free DWR coating.
KEY ATTRIBUTES
AIRSCAPE® SUSPENSION
An injection-molded, die-cut foam AirScape backpanel creates a breathable, close-to-body fit. A flexible BioStretch harness and hipbelt, with a continuous lumbar-to-hipbelt wrap, allow for dynamic movement.
LIGHT AND FAST
A lightweight pack series designed with optimal stability for dynamic movement even on the most technical terrain.
MULTI-SPORT
From top-loaders to lumbar packs and everything in between, the Talon/Tempest Series accommodates the needs of hikers, bikers and more.
SUSTAINABLE MATERIALS
Constructed with high-quality bluesign®-approved recycled high-tenacity nylon.
FEATURES
- Top load access to main compartment
- Floating top lid with zippered slash pocket
- Under lid zippered mesh pocket with key clip
- Large stretch mesh front panel pocket
- Tuck-away dual ice ax attachment with bungee tie-off
- Stow-on-the-Go trekking pole attachment
- Dual upper and lower side compression straps
- Dual entry stretch mesh side pockets
- External hydration reservoir sleeve
- Easy-access, expandable stretch mesh harness pocket
- Dual-zippered hipbelt pockets
- Leave No Trace principles label inside main compartment
- Zippered sleeping bag access with optional divider
- Removable sleeping pad straps
- Full-length vertical side zipper access to main compartment
CARRY INFORMATION
AIRSCAPE BACKPANEL
- Injection-molded AirScape framesheet with die-cut foam provides a close-to-body stable fit while offering flexibility and ventilated airflow channels for active use
- Mesh-covered foam lumbar for lightweight and comfortable contact surfaces
BIOSTRETCH HARNESS
- Integrated BioStretch seams offer maximum flexibility without sacrificing stability for dynamic body movement
- Spacermesh over die-cut foam provides breathable, comfortable contact surface
- Harness system easily adjusts to fit various torso lengths
- Adjustable sternum strap with safety whistle buckle
BIOSTRETCH HIPBELT
- Seamless lumbar-to-hipbelt body wrap and BioStretch seams offer maximum flexibility without sacrificing stability for dynamic body movement
- Spacermesh over die-cut foam provides breathable, comfortable contact surface Crossbody ErgoPull hipbelt system to pull lumbar into body
SUSPENSION
- LightWire peripheral frame effectively transfers load to hipbelt
SPECS
LOAD RANGE: 15 - 30 lbs.
| VOLUME | DIMENSIONS | WEIGHT | |
| WM/L | 2441 IN3 / 40 L | 27.56H X 13.39W X 10.24D IN. | 2.927 LBS. |
| WXS/S | 2319 IN3 / 38 L | 25.59H X 13.39W X 10.24D IN. | 2.735 LBS. |
FABRIC
- MAIN
- bluesign®-approved recycled 100D x 210D wave check high-tenacity nylon, PFC-free DWR
- ACCENT
- bluesign®-approved recycled 420HD nylon packcloth, PFC-free DWR
- BOTTOM
- bluesign®-approved recycled 420HD nylon packcloth, PFC-free DWR
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
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Exchange/Return Notes
- We offer a 30-day return/exchange service after receiving.
- Final sale items are not eligible for returns or exchanges.
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4.8 ★★★★★
Based on 7 reviews
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Product Reviews
★★★★★ 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
★★★★★ 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.
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Reviewed in the United States on August 10, 2025
★★★★★ 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!
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Reviewed in the United States on June 27, 2025
★★★★★ 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.
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Reviewed in the United States on November 14, 2025