Dropper Ready
Built to accept an internally-routed 27.2mm dropper seatpost, which shouldn´t be a surprise on a bike this capable.
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Description
cannondale topstone carbon 5 gravel bike Topstone Carbon 3 GRXAlways Game Our take on the ultimate all round gravel bike. Go anywhere, bring everything and then keep on going. Model Description One chainring, endless possibilities. The Topstone 3 GRX 1X delivers simplicity without sacrificing performance. A Shimano GRX610 820 blended group keeps shifting precise and reliable, while KingPin suspension takes the sting out of rough terrain. WTB tires keep you connected to the trail, making every ride a good
Always Game
Our take on the ultimate all-round gravel bike. Go anywhere, bring everything and then keep on going.
Model Description
One chainring, endless possibilities. The Topstone 3 GRX - 1X delivers simplicity without sacrificing performance. A Shimano GRX610/820 blended group keeps shifting precise and reliable, while KingPin suspension takes the sting out of rough terrain. WTB tires keep you connected to the trail, making every ride a good one—whether it’s a quick lap or a full-day escapade.
What it's for
Gravel riding & racing, bikepacking, going hard and long on dirt or pavement
Highlights
- Lightweight full carbon frameset with Kingpin rear suspension, Proportional Response size-specific construction, and StashPort downtube storage
- With a single chainring and wide-range SLX 12-speed cassette, this blend of Shimano’s top-end GRX820 and GRX610 gravel groups offers a killer performance value
- Durable, dependable WTB ST i25 rims, with Shimano hubs and WTB Riddler 45c gravel tires
- Cannondale 3 flared handlebars offer comfortable, gravel-friendly hand positions
- Cannondale Wheel Sensor delivers hyper-accurate speed, distance and route info, service reminders, and more via the Cannondale App
FIRST LOOK | Topstone Carbon
Always Game
Smiles for Miles
Kingpin is our lightweight, go-for-longer rear suspension. Maintenance-free and complexity-free, it gives the Topstone frame legit rear-wheel travel without compromising stiffness for the sprint. Kingpin provides a smoother ride, more traction to push harder, and more give to take on the rough stuff. You’ll hardly know it’s there, but you’ll be very glad you’ve got it.
Bring It All
Our all-new StashPort storage system in the downtube is designed to be concealed yet convenient. Paired with the special StashBag, you can bring your essentials along for the ride and know that they’ll be kept safe, whatever you get up to out there. Meanwhile, multiple mounting points on the frame, mean more gear and more adventures.
Tuned Ride
A dialed-in ride, just for you. AKA: Proportional Response Construction. Everything from the carbon layup to the geometry on Topstone is individually tuned by frame size. So that the bike – including KingPin suspension – works in harmony to give you the best ride for you and your dimensions.
Features
Specs
Details
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Platform
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Model NameTopstone Carbon 3 GRX - 1x
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Model CodeC15195U
Frameset
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FrameTopstone Carbon, Kingpin suspension system, Proportional Response construction, downtube Stashport, internal cable routing, 12x142mm thru-axle, 27.2 dropper post ready, UDH, BSA 68mm threaded BB, flat mount disc, removable fender bridge, multiple gear/bottle mounts
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ForkTopstone Carbon, 1-1/8" to 1.5" steerer, 55mm OutFront offset, flat mount disc, internal routing, 12x100 thru-axle, triple bottle/gear mounts, fender mounts
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HeadsetAcros IS52/40 ICR
Drivetrain
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Rear DerailleurShimano GRX 822, Shadow SGS
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ShiftersShimano GRX 610, 12-speed
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ChainShimano M7100, 12-speed
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CrankShimano GRX 610, 40T
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Rear CogsShimano SLX M7100, 10-51, 12-speed
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Bottom BracketShimano BSA 68
Brakes
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BrakesShimano GRX 610 hydraulic disc, 160/160mm RT70 rotors
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Brake LeversShimano GRX 610 hydraulic disc
Wheels
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Front HubShimano TC500, 12x100mm centerlock
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Rear HubShimano TC500, 12x142mm centerlock
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RimsWTB ST i25 TCS, 28h, tubeless ready
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SpokesStainless Steel, 14g
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Tire Size45
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Wheel Size700c
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TiresWTB Riddler TCS Light, 700x45c, tubeless ready
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Front TireWTB Riddler TCS Light, 700x45c, tubeless ready
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Rear TireWTB Riddler TCS Light, 700x45c, tubeless ready
Components
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HandlebarCannondale 3, butted 6061 Alloy, 16 deg flare drop
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StemCannondale C1 Conceal, Alloy, 31.8, -6°
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GripsCannondale KnurlCork, 2.7mm
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SaddleSelle Royal SRX Open
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SeatpostCannondale 3, 6061 Alloy, 27.2x350mm
Connectivity
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Wheel SensorCannondale Wheel Sensor
Extra
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Extra 1Large StashBag downtube storage bag, tubeless valve stems
Please note that, based on component availability and other factors, specifications are subject to change without notice.
Geometry
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- Standard Shipping : 3-10 business days
- If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
- We offer a 30-day return/exchange service after receiving.
- Final sale items are not eligible for returns or exchanges.
- To process your return/exchange, please contact us at [email protected]
- Please click here for more details>>> Return & Exchange Policy
4.9 ★★★★★
Based on 23 reviews
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Product Reviews
★★★★★ 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
★★★★★ 5
A Good Place to Start Learning AI
Format: Paperback
Diving into the world of artificial intelligence can feel like stepping into a vast, uncharted ocean, and if you're looking for a reliable vessel to navigate these waters, this book is an excellent choice. However, I must be candid—this journey is not for the faint-hearted or those hoping to breeze through. The subject of AI, with its complex algorithms and intricate theories, is notoriously challenging. You won't find yourself flipping pages at a rapid pace, as this is not a title designed for speed-reading. Instead, it demands your full attention and a willingness to engage deeply with the material.
At the heart of AI lies mathematics—a fundamental pillar that underpins the entire discipline. This book, while comprehensive, offers only a glimpse into the mathematical framework that drives artificial intelligence. But don’t be disheartened by this. Think of it as a solid foundation, a primer that will arm you with the essential concepts needed before you delve deeper into the more advanced mathematical intricacies elsewhere. When you do eventually tackle those more complex equations, you'll find yourself better equipped, with a clearer understanding of the principles at play.
I should also mention that I'm no stranger to Andrew's work. Having explored some of his other writings, I can confidently say that he possesses a unique flair for communication. His ability to distill complex ideas into accessible language, without losing the essence of the subject, is truly commendable. Andrew writes with a certain finesse and sophistication that makes even the most daunting topics seem approachable. His style is not just informative, but also engaging, with a touch of elegance that sets his work apart from others in the field.
In summary, while the path to mastering AI is undeniably steep, this book serves as an invaluable guide. It’s not just a starting point; it’s a beacon for those who are serious about understanding the intricacies of artificial intelligence. Be prepared to invest time and effort, and in return, you'll gain a solid foothold in a subject that is as fascinating as it is complex.
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Reviewed in the United States on September 2, 2024