SKU: 71623787983

eBike Velotric Nomad 2X - Step Thru - Obsidian - In a Box

Sale price$1034.55 Regular price$1149.50
Save 10%

Pay in installments of $287.38 with ShopPay, AfterPay and Klarna

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Aug 27 - Sep 1

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

eBike Velotric Nomad 2X - Step Thru - Obsidian - In a BoxVelotric Nomad 2X Step Thru Obsidian In a Box Electric Bike Velotric authorized dealer in San Diego & Escondido Velotric warranty & support for Ready to Ride eBikesTemecula eBike Shop supports riders in Escondido, San Diego, and the wider Southern California area with local pickup options alongside nationwide shipping. Designed with compact urban riding in mind, the Velotric Nomad 2X Step Thru Obsidian In a Box combines approachable size, practical

Velotric Nomad 2X - Step Thru - Obsidian - In a Box Electric Bike

Velotric authorized dealer in San Diego & Escondido
Velotric warranty & support for Ready to Ride eBikes

Temecula eBike Shop supports riders in Escondido, San Diego, and the wider Southern California area with local pickup options alongside nationwide shipping.

Designed with compact urban riding in mind, the Velotric Nomad 2X - Step Thru - Obsidian - In a Box combines approachable size, practical utility, and everyday electric-bike convenience. Its responsive motor works with responsive power delivery and pedal-assist support to provide smooth assistance up to city-friendly speeds, while a practical battery system and useful everyday range make it a strong fit for shorter daily trips. Its compact proportions help keep the ride manageable and approachable. compact wheels and city-friendly proportions help the bike stay practical for everyday use.

Key Features

  • Full-Suspension Comfort: Air suspension fork with 120mm travel (lock-out, nutted, rebound adjustable) paired with a DNM rear air shock and 80mm rear wheel travel for a smoother ride on uneven surfaces.

  • 750W Hub Motor with High Torque: 48V, 750W rear hub motor producing 105Nm of torque with up to 1400W peak power.

  • Long-Range 801.6Wh Battery: 48V 16.7Ah (801.6Wh) battery with IPX7 rating and UL 2271 certification for dependable all-conditions use.

  • SensorSwap™ (Torque/Cadence): Includes both torque and cadence sensor support to match different riding styles and terrain.

  • High Capacity for Cargo & Riders: 560 lbs max load capacity with a 120 lbs rear rack capacity (MIK HD compatible alloy rear rack).

  • 26x4.0 Fat Tire Grip: KENDA 26x4.0" eBike puncture-resistant tires for added traction and stability.

  • Class 1/2/3 Capable: Default 20 MPH with adjustable range from 12–28 MPH.

  • Hydraulic Disc Braking: Tektro hydraulic disc brakes with 203mm front and 180mm rear rotors, plus brake levers with power cutoff.

  • Integrated Lighting & Visibility: 130 Lux / 500 LM light-sensing front LED and an integrated rear rack light with braking indicator and turn signals (steady/flash).

  • Two Frame Styles (Fit Differences): Available as Step-Thru (rider height 4'11''–5'10'') and High-Step (rider height 5'10''–6'5'').

Specifications

Feature Details
eBike Type Electric bike
Frame Styles Step-Thru / High-Step
User Height Range Step-Thru: 4'11'' - 5'10'' / High-Step: 5'10'' - 6'5''
Frame Triple-Butted Aluminum Alloy, rear wheel 80mm travel
Fork Air suspension, 120mm travel with lock-out, nutted, rebound adjustable
Rear Shock DNM air suspension, 165mm x 38mm travel
Motor Hub 48V, 750W, 105Nm (1400W peak listed)
Battery 48V, 16.7Ah (801.6Wh), IPX7, certificated by UL 2271
Cell Samsung/LG 21700 cell, certificated by UL 2580
Charger 48V, 3.0A fast charger
Display 3.5" full color, high brightness, Bluetooth, adjustable angle
Sensor Torque and cadence sensor
USB Port USB Type-C phone charge
Throttle Assist Trigger-control, removable
Pedal Assist 3 riding modes x 5 PAS levels
Walk Mode 2.9 MPH
Front Light Light sensing 130 Lux / 500 LM high-output integrated LED, adjustable angle
Rear Light Braking indicator, turn signal, rear light steady/flash, integrated with rear rack
App & Apple Find My™ APP OTA & Find My
Max Speed (Default) 20 MPH
Max Speed Adjustable Range 12~28 MPH
Class 1/2/3
Throttle Range 50 miles
Pedal Assist Range 75 miles
Chainrings 48T
Crankset Aluminum alloy, 170mm
Freewheel 8-speed, 11-40T
Chain 8-speed
Rear Derailleur SHIMANO 8-speed
Shift Lever SHIMANO 8-speed
Brake Tektro hydraulic disc brake
Rotors 203mm front / 180mm rear
Rims Aluminum alloy
Front Hub Aluminum alloy, nutted
Tire KENDA 26x4.0" eBike puncture-resistant tires
Handlebar Aluminum alloy, Φ31.8mm, 700mm
Grips Durable ergonomic grips, lockable
Stem Adjustable, aluminum alloy, Φ31.8mm, 60mm (ST) / 90mm (HS)
Saddle VELOTRIC comfort ergonomic seat
Seatpost Aluminum alloy, Φ30.9mm
Clamp Aluminum alloy, quick release
Fenders Front and rear full coverage
Rear Rack MIK HD compatible alloy
Pedals Plastic
Kickstand Aluminum alloy, included, rear mount
eBike Weight 80 lbs
Max eBike Load 560 lbs
Rear Rack Load Capacity 120 lbs
UL Certification UL 2849
ISO Standard ISO 4210
Geometry (Step-Thru) Reach 420mm; Handlebar Height 1080mm; Wheelbase 1330mm; Stand-Over Height 450mm; Min Saddle Height 795mm; Max Saddle Height 1100mm; Total Length 2065mm
Geometry (High-Step) Reach 460mm; Handlebar Height 1080mm; Wheelbase 1315mm; Stand-Over Height 780mm; Min Saddle Height 860mm; Max Saddle Height 1330mm; Total Length 2085mm

Manufacturers Warranty: https://www.velotricbike.com/pages/warranty

User Manual: https://cdn.shopify.com/s/files/1/0877/9435/2404/files/eBike_Velotric_Nomad_2X_User_Manual.pdf?v=1770585353

Assembly & Build Options

In a Box (Factory-Sealed)

The “In a Box” option is delivered in the manufacturer’s original packaging and arrives unassembled. Professional assembly is required prior to riding, including proper installation, torque verification, and a complete safety inspection of all components.

This option does not include assembly services, safety inspection, tuning, or ongoing service support from our retail location. All warranty claims, technical support, and product-related concerns must be handled directly with Velotric through the manufacturer’s official support channels.

Why Choose This Model?

What helps the Velotric Nomad 2X - Step Thru - Obsidian - In a Box stand apart is the way it combines compact proportions with practical electric-bike capability. With its responsive motor, speeds up to controlled, compact setup, its battery system, and useful daily range, it presents a useful balance of approachability and everyday function.

Customers shopping with Temecula eBike Shop may appreciate how naturally it fits into short trips, errands, and everyday transportation.

Explore More

Discover more city-focused and everyday-ready eBikes at Temecula eBike Shop, where practical features and rider-friendly design help shape the overall selection.

Temecula eBike Shop supports local riders in Escondido and San Diego while also giving customers nationwide access through shipping available across the USA.

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: 71623787983

Discover Niche Categories That Outsell

Top-Converting Item to Boost Your Average Order

4.1 ★★★★★
Based on 17 reviews
Sort
Highest Rating
Newest First
Oldest First
Product Reviews
N
Nader
Natrona Heights, 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
Fort Morgan, 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
Chelsea, 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
Phoenix, 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
Lake Worth, 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

recommand products