SKU: 57452948511

ARRMA 1/18 GRANITE GROM MEGA 380 Brushed 4X4 Monster Truck RTR with Battery & Charger, Blue

$134.99 $149.99
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Description

ARRMA 1/18 GRANITE GROM MEGA 380 Brushed 4X4 Monster Truck RTR with Battery & Charger, BlueARRMA 1 18 GRANITE GROM MEGA 380 Brushed 4X4 Monster Truck RTR with Battery & Charger, Blue Features Awesome monster truck styling with three color choices Powerful Spektrum 2S LiPo battery & safe, easy to use charger Easy body attachment and removal Enclosed drivetrain for all terrain protection Reliable, high quality hex hardware Durable composite chassis High traction 4WD transmission Tough metal gears Independent suspension and oil filled, coil

  • ARRMA 1/18 GRANITE GROM MEGA 380 Brushed 4X4 Monster Truck RTR with Battery & Charger, Blue

  • Features

    • Awesome monster truck styling with three color choices
    • Powerful Spektrum 2S LiPo battery & safe, easy-to-use charger
    • Easy body attachment and removal
    • Enclosed drivetrain for all-terrain protection
    • Reliable, high-quality hex hardware
    • Durable composite chassis
    • High-traction 4WD transmission
    • Tough metal gears
    • Independent suspension and oil-filled, coil-over shocks
    • Tough monster truck wheels and tires
    • Impact-absorbing front and rear bumper
    • Spektrum SLT2 2-channel 2.4GHz radio
    • Spektrum SLT 2-in-1 25A waterproof ESC and receiver
    • Spektrum SX110 waterproof metal-geared servo
    • 2-Year limited warranty (see website for details)

    Overview

    Amped-up ARRMA® RC blasting gets "fun-sized" with the fast, tough, and ready-to-run GRANITE™ GROM 4X4 Monster Truck. At 1/18 scale, it's small enough to take along anywhere. And the GRANITE GROM delivers a big dose of genuine ARRMA performance and durability whenever you get the urge to bash.

    Enjoy some after-school RC monster truck action with friends. Sneak in a little bashing during your office lunch break. Whether you're a young beginner or an experienced RC basher, the GRANITE GROM easily fits time for ARRMA RC bashing into your way of life. It's tough, fast — and conveniently small.

    Unlike many manufacturers of mini RC models, ARRMA made no compromises when shrinking this basher down to small scale size. The GRANITE GROM 4X4 Monster Truck is precision-engineered to the same high standards as larger ARRMA RC vehicles. It also has a clipless body mount design that keeps the body securely attached but easy to remove for all drivers, young and old. Among small scale RC basher models it's in a league of its own, with convenience plus the power, strength, and handling capabilities you need to get serious about your stunts.

    The ARRMA GRANITE GROM 4X4 Monster Truck endures any punishment you can dish out. Impact-absorbing front and rear bumpers are the bash-ready bookends to its strong composite chassis. A 4WD transmission with robust metal gears carries power from the MEGA 380 brushed motor through an enclosed drivetrain to the tough dBoots® FORTRESS™ monster truck wheels and tires. Even the Spektrum™ SX110 steering servo has metal gears — and, like the IC2® connector-equipped Spektrum SLT™ 2-in-1 25A ESC and receiver, it's waterproof for carefree bashing in any conditions.

    If you're a first-time RC basher, the Spektrum 2.4GHz SLT2™ transmitter helps you learn control skills safely by limiting the monster truck's maximum speed to 50% or 75% until you're ready to handle it all. Recharging the included Spektrum Smart 2S LiPo battery is also worry-free. Just plug it into the supplied Spektrum S10 Smart G2 Mini 2S USB-C Charger with the attached IC2 connectors. Smart technology instantly takes care of the rest. In about an hour, your battery is safely recharged and ready for another round of fun.

    Everything you'll need to the run the GRANITE GROM comes in the box. The truck body is professionally factory-finished in your choice of three brilliant, durable color schemes. GRANITE GROM upgrade parts are available for cranking up its capabilities past eleven. They include a Metal Axle & Wheel Hub Set, Aluminum Shock Set, Adjustable Steering Links, and a two-piece, assembled Oil-Filled Differential Set.

    Take advantage of small scale value and versatility with the GRANITE GROM 4X4 Monster Truck RTR, and experience ARRMA RC bashing excellence for yourself.

    Video Overview

     

    Under The Hood

     

     
    BASH-ANYWHERE SMALL SCALE SIZE

    The ARRMA GRANITE GROM 4X4 Monster Truck RTR is engineered and manufactured to the same high standards of durability and performance that you expect from any ARRMA vehicle. It's just smaller!

     

     
    AWESOME MONSTER TRUCK LOOKS

    Right out of the box, the monster truck body comes professionally factory-finished in your choice of three brilliant, durable color schemes. Tough dBoots® FORTRESS™ monster truck wheels and tires add powerful looks and all-terrain traction.

     

     
    CLIP-FREE BODY ATTACHMENT

    The GRANITE GROM monster truck body snaps onto the chassis easily, quickly, and securely. It comes off with a simple press-and-release. With no tiny clips to force into place, it's a body attachment system that all ages can successfully manage.

     

     
    TOUGH METAL GEARS

    Enjoy carefree bashing with your ARRMA GRANITE GROM monster truck in any conditions. The transmission is fully metal geared for durability. Even the installed Spektrum SX110 waterproof steering servo has tough metal gears.

     


     
    RUGGED 4-WHEEL DRIVE TRANSMISSION

    The high-traction 4-wheel drive transmission features rugged metal gears. It carries power from the installed MEGA 380 brushed motor to the wheels through an enclosed drivetrain. The entire power system is well-protected for dependable performance on all terrain.

     


     
    FAST, SAFE BATTERY CHARGING

    The Spektrum Smart 2S LiPo battery with IC2 connectors provides the power for long run times. When it's time to recharge, just plug it into the convenient Spektrum Smart G2 S10 USB-C Charger. Safe charging begins automatically and only takes about an hour.

     

     
    EASY-TO-USE SPEKTRUM 2.4GHz SLT2 TRANSMITTER

    The high-quality Spektrum SLT2 2-channel transmitter is the perfect size for all drivers. It can help you learn control skills safely by limiting the monster truck's maximum speed to 50% or 75% until you're ready for it all. Four AA batteries included.

     

    *For details on waterproof standards, please refer to the product instruction manuals.

    Product Specifications

    Manufacturer # 660132924553
    Power Type Electric
    Gear Pitch 0.5MOD
    Servos Included
    Charger Included
    Receiver Included
    Shock Type Oil-Filled, Coil-Over Springs
    Battery Included
    Connector Type IC2
    Motor Size 380 28T
    Product Length 9.84" (250 mm)
    Spur Gear 59T
    Suspension Independent
    Motor Type Brushed
    Speed Control Included
    Wheelbase 6.5" (165 mm)
    Power System MEGA
    Product Width 7.87" (200 mm)
    Radio Included
    Technology SLT Protocol
    Product Weight 1.77lb (800g) with Battery
    Tire Tread dBoots® FORTRESS™
    Vehicle Type Monster Truck
    Water-Resistant Yes
    Ball Bearings Rubber-shielded Bearings
    Chassis Composite
    Completion Level Ready-To-Run
    Drivetrain 4WD
    Drive Type Forward/Brake/Reverse
    Product Height 4.65" (118 mm)
    Top Speed 20+
    Approximate Assembly Time Less than 1 Hour
    Body Pre-painted, Decaled
    Brakes Integral with ESC
    Pinion 16T
    Scale 1/18
Shipping Notes
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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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SKU: 57452948511

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Par
Chelsea, US
★★★★★ 5
Excellent book on ML
Format: Paperback
This is a great book on machine learning. Topics covered are extensive - from beginner level to advanced topics including math behind different algorithms. However, not "all" algorithms are covered. Please go through the table of contents. The first part - 11 chapters - covers machine learning concepts and second part covers advanced topics with Pytorch. There are lots of excellent code and they work!! The quality of the book I received is excellent. I have gone through all 742 pages, and it has held up very well!! I used Jupyter notebook to run all examples. I created a new notebook and copied and pasted the code and ran them. This approach worked very well for me. At the same time, I could experiment with my take on the code snippets and definitely added to my knowledge. Only issue I have is on the second part of the book discussing PyTorch: (1) Some packages are a bit older version: e.g., transformer 4.9.1 whereas current version is 4.48+. It took some tweaking/recoding to get the examples working. (2) There is not much discussion on why certain architecture was chosen - e.g., number of layers, is there a rule of thumb on how to improve performance by changing these parameters? Even with CUDA the code run for a long time. Therefore, experimenting with different values of parameters become too time consuming. (3) On the same note, if I can achieve test accuracy of 90%+ using logistic regression and almost the same (perhaps one or two percent better with PyTorch with IMDB movie review dataset and that two much faster why should I use PyTorch for this dataset? Obviously, PyTorch is for certain types of problems. Discussions can be included by not adding to the exhaustive (and apt) contents. Personally I was disappointed by lack of any example on time series. Must have for ML practitioner as a reference and guide.
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Reviewed in the United States on December 20, 2024
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Verified Purchase
Richard Hackathorn
Dallas, US
★★★★★ 5
Excellent Textbook for Hands-On Learning of ML
Format: Kindle
This textbook is for the serious life-long learners of machine learning. There are at least two ways to ‘consume’ this book. For the expert in ML, this is a textbook to study as a clear comprehensive ML overview and then to dive into sections of interest or ignorance. The concepts are grounded in code examples and are well cited (with links) to sources. Further, this textbook is appropriate if you are TensorFlow-centric and want to broaden into cutting-edge ML models/tools coded in PyTorch. For a new learner to ML, this is a textbook to DO (not just READ) with hands-on and brain-engaged. If you realize that ML is a key life-long skill for your career, consider this textbook as part of a daily learning habit (10-30 min). From personal experience, my advice to the new learner is as follows… First, clone the GitHub repository, setup your Python environment, and study the textbook, while working through the notebooks. Go on tangents and break the code. Do this methodically as part of your daily learning habit, but do not hesitate to jump ahead several chapters to prepare for tomorrow’s meeting. There is enough excellent material here for a full year of ML adventures. I did a similar strategy with Raschka’s first textbook. About four years ago, I had finished Andrew Ng’s Deep Learning Specialization as a student in his first cohort. I knew the concepts well but could not do the actual application coding. I was surprised how my Python coding improved by following Raschka’s clean and elegant style. And Raschka’s code examples were meaty enough to be springboards into working applications. Several textbook editions later, what is different about this new edition? First, it moves you through scikit-Learn (a firm foundation) to PyTorch, instead of TensorFlow. PyTorch is a better stepping-stone, both conceptually and practically. With PyTorch, you will go further with less energy, while being able to convert your efforts into TensorFlow as needed. In addition, most of the cutting-edge ML/AI/DL research is in PyTorch. It is nice to read a recent arXiv paper, clone their repository, click on the Colab tutorial, and replicate their experiments, along with picking up a ton of new coding tricks & tips. I am excited to work through these PyTorch sections to hone my skills. Second, there is a clear recognition of model tracking and tuning practices. This is often a gap in other ML textbooks and courses. Once you progress beyond the simple demo examples in a lecture, you realize that the real work is experiments, more experiments, and still more experiments, so that you must understand what the model architecture and hyperparameters are doing to your dataset. There is good coverage of scikit-Learn pipeline, grid search, model performance, and the like. Third, ML/AI/DL practice is rapidly evolving. Every week new ML packages/services become available that could save much grief on your current project. What is refreshing about Raschka’s textbook series is that he constantly adding cutting-edge topics because he likes to stay current and to help us stay current. Hence, this edition contains recent ML treats as: transformers, self-supervised learning, autoencoders-to-GAN, graph neural networks, DBSCAN, t-SNE (with brief mention of UMAP), and PyTorch-Lightning.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 26, 2022
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Verified Purchase
Amazon Customer
Birmingham, US
★★★★★ 4
Just learning it
Format: Paperback
Nice learning book just have to finish it
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Reviewed in the United States on December 10, 2025
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Verified Purchase
Kindle Customer
Louisville, US
★★★★★ 5
Very useful book
Format: Paperback
I use it for the machine learning class I teach.
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Reviewed in the United States on May 3, 2026
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Verified Purchase
Tommy Jonsson
Boise, US
★★★★★ 5
Cover many areas in detail and recommendations for more to read for what's outside
Format: Paperback
Good book!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 4, 2026

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