SKU: 47609584107
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uppababy customer service email UPPAbaby Vista V3 Double Stroller

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Ships within 48 hours · Estimated delivery Oct 3 - Oct 8

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Description

uppababy customer service email UPPAbaby Vista V3 Double StrollerLife with a growing family can be bumpy, but your everyday strolls will be smooth as ever with UPPAbaby's Vista V3 Double Stroller. Whether you're looking for a twin stroller or one that will comfortably fit an older and a younger kiddo, this parent favorite comfortably fits two and can even fit your eldest with the addition of a PiggyBack (sold separately). With optional bassinets that make the Vista usable from day one, there are over 30

Life with a growing family can be bumpy, but your everyday strolls will be smooth as ever with UPPAbaby's Vista V3 Double Stroller. Whether you're looking for a twin stroller or one that will comfortably fit an older and a younger kiddo, this parent-favorite comfortably fits two and can even fit your eldest with the addition of a PiggyBack (sold separately). With optional bassinets that make the Vista usable from day one, there are over 30 configurations to accommodate your family! Vista V3 is compatible with UPPAbaby's Mesa and Aria series infant car seats with no additional accessories needed, and with many other brands' car seats with the use of adapters.

UPPAbaby's Vista V3 Double Stroller features mesh All-Weather Comfort Seats that keep the kiddos cool in warmer months, with removable padded Seasonal Seat Liners for added warmth when the temperature drops. The seats also feature extendable, water-repellent UPF 50+ canopies and easy-to-peek windows, offering airflow and protection from the sun rays while allowing you to keep an eye on your little ones. The easy-to-adjust no-rethread harness with a magnetic buckle keeps each child safe and allows you to secure them in with one hand. The seats can be reclined with one hand for on-the-go naps, and the adjustable footrests ensure proper positioning of your little ones' legs as they grow. Both seats are designed to be reversible, so the kids can face you for comfort and bonding time, or face the world when they become curious about their surroundings.

The optional V3 Bassinet makes your Vista usable from day one and features an extendable UPF 50+ canopy, as well as cross-ventilation panels and a foam-free mesh mattress for increased breathability and airflow. The dual zipper allows you to easily access the baby, and the carry handle with a one-hand release makes it effortless to transfer your little one to and from the stroller. Thanks to its collapsible design, the bassinet is easy to travel with or stow away.

The UPPAbaby Vista V3 Double Stroller features an enhanced FlexRide suspension that provides a smooth stroll on any terrain, even with multiple kiddos on board. The one-step self-standing compact fold with the seat attached makes travelling and storage a breeze. The extra-large basket is easy to access from all sides and provides ample storage for your day-to-day necessities on the go. The one-hand handlebar, finished with full-grain REACH-certified leather, is easily adjustable to accommodate different parent heights. Thanks to reflective details on the wheels and the basket, the Vista V3 is visible at all times of day, providing added safety while strolling.

Specifications:

  • Toddler seat, Rumbleseat and bassinet are GREENGUARD Gold-certified for healthier air quality and low chemical emissions
  • Toddler seat fabric, Rumbleseat fabric, bassinet mattress cover, and bassinet zip-out liner are machine-washable
  • Unfolded dimensions (with one seat): 36" L x 25.7" W x 39.5" H
  • Folded dimensions: 17.3" L x 25.7" W x 33.3" H with one seat, 13" L x 25.7" W x 32" H frame only
  • Stroller wheels: 8.1" front, 11.3" rear
  • Bassinet dimensions: 30.8" L x 17.3" W x 24.8" H
  • Weight: frame + two seats 35.4 lbs; frame 20 lbs, toddler seat 7 lbs, Rumbleseat 8.4 lbs
  • Bassinet weight: 9.1 lbs
  • Stroller suitable for use from birth (with bassinet or car seat) or from 3 months, up to 50 lbs on the toddler seat or 40 lbs on the Rumbleseat
  • Bassinet usage: from birth to 20 lbs; must be used on a stroller or the Bassinet Stand
  • Basket capacity: 30 lbs

What's included:

  • stroller frame
  • toddler seat with Seasonal Seat Liner, bumper bar, bug shield and rain shield
  • Rumbleseat with Seasonal Seat Liner, adapters, bumper bar, bug shield and adapters storage bag
  • UPPAbaby Upper Adapters

(optionally)

  • bassinet(s) with bug shield
  • UPPAbaby Lower Adapters
Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. 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
SKU: 47609584107

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4.5 ★★★★★
Based on 12 reviews
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Product Reviews
O
Om S
Phoenix, 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
Port Orchard, 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
Port Orchard, 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
Bozeman, 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
West Palm Beach, 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

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