pedales boss Boss ME-90 Multi Multiple Effect Guitar Pedal Board — Truetone Music
SKU: 17163577583
pedales boss

pedales boss Boss ME-90 Multi Multiple Effect Guitar Pedal Board — Truetone Music

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Description

pedales boss Boss ME-90 Multi Multiple Effect Guitar Pedal Board — Truetone MusicDial in Professional Sounds in Seconds The BOSS ME series has been a favorite of performing guitarists for over three decades, combining multi effects power with intuitive hands on control for crafting tones in seconds. The ME 90 is the most advanced ME model to date, offering exceptional audio quality, flagship grade AIRD amp models, IR loading, an effects loop, and more. Compact, battery powered, and filled with premium BOSS tones, this versatile

Dial in Professional Sounds in Seconds

The BOSS ME series has been a favorite of performing guitarists for over three decades, combining multi-effects power with intuitive hands-on control for crafting tones in seconds. The ME-90 is the most advanced ME model to date, offering exceptional audio quality, flagship-grade AIRD amp models, IR loading, an effects loop, and more. Compact, battery-powered, and filled with premium BOSS tones, this versatile all-in-one processor makes it easy to build customized sound setups for every playing situation.

Fast Sound Creation

With its knob-driven interface and diverse effects selection, the ME-90 lets you build configurations and tweak tones with the ease of a stompbox-filled pedalboard—without the hassle of fastening tape, power distribution, and multiple connection cables. Just dial up an amp model or effect type within a category and turn the knobs to get the sound you want. There are 36 preset patches with ready-to-play pro tones, plus 36 user patches for storing your custom creations.

High-Quality BOSS Effects

The ME-90 puts a massive library of BOSS effects at your command, offering seven different categories filled with selections derived from the flagship GT-1000. Everything you need is here, from overdrives and distortions to pitch/mod effects, delays, and high-quality reverbs. You also get 11 dedicated Pedal FX, a looper, and specialized effects such as acoustic simulation and down tuning. There are 60 effect types in total, with access to over 20 more via BOSS Tone Studio. A send/return loop is available for external pedals, complete with the ability to save the on/off status in patches and place the loop before or after amp models in the signal chain.

Premium Amp Sounds with AIRD Technology

Along with its effects, the ME-90 includes amp models ported from the GT-1000, driven by our advanced AIRD technology for authentic tube tone and touch response. Eleven onboard amp types offer everything from clean combo sounds to punishing high-gain stacks, and you can access more selections in BOSS Tone Studio. Each amp includes a dedicated cab sound for connecting to a PA or recording device, and you can load three of your favorite speaker IRs to personalize sounds to your taste.

Edit, Customize, and Expand

BOSS Tone Studio for macOS and Windows extends your creative range, allowing you to edit tones and change out some amp and effect types with alternate selections. In addition, you can save and organize patches for different gigs, download pro setups at BOSS Tone Central, and swap patches with the ME-90 community on BOSS Tone Exchange. The ME-90 also supports the optional Bluetooth® Audio MIDI Dual Adaptor, enabling you to stream music from a mobile device and wirelessly shape tones using the dedicated BTS editor app for iOS and Android.

Light, Durable, and Ready to Travel

The ME-90 is lighter than its previous generation model while maintaining the rock-solid durability that BOSS is famous for. The expression pedal has been newly redesigned as well for even finer parameter control. You can power the processor with four AA batteries or an optional AC adaptor, and a rear-panel switch instantly optimizes the outputs for use with a guitar amp or a full-range sound system such as a PA. And along with BOSS Tone Studio communication, the USB-C output allows you to use the ME-90 as a computer audio interface for your go-to music production software.

Standard Features

  • All-in-one guitar processor with premium BOSS amps and effects
  • Easy stompbox-style sound creation with an intuitive knob-based interface
  • Exceptional audio quality with 24-bit AD and 32-bit DA conversion, 32-bit floating-point processing, and 48 kHz sampling rate
  • Eleven onboard AIRD amp models and 60 different effects derived from the flagship GT-1000
  • Dedicated amp section plus seven simultaneous effect categories with multiple types to choose from
  • Edit parameters, swap out amp and effect types, and more with BOSS Tone Studio
  • Eight multi-function footswitches and a newly redesigned expression pedal with toe switch
  • 36 ready-to-play preset patches and 36 user patches for storing custom setups
  • Manual mode for pedalboard-style operation and Memory mode for switching complete patch setups
  • Rear-panel switch to optimize the audio outputs for a guitar amp or full-range sound system
  • Load up to three user speaker IRs with the ME-90 IR Loader software for Windows/macOS
  • Send/return loop for external pedals
  • Light, durable design and colorful status LEDs
  • Powered via four AA batteries or optional AC adaptor
  • USB-C connector for communicating with BOSS Tone Studio and audio recording/playback with music production software
  • Download and share ME-90 Livesets at BOSS Tone Exchange
  • Optional Bluetooth® Audio MIDI Dual Adaptor allows you to edit sounds and stream audio from an iOS or Android mobile device
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SKU: 17163577583

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N
Nader
Pawtucket, 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
Alexandria, 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
Charlottesville, 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.
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Reviewed in the United States on August 10, 2025
V
Vineeth Sai
Port Orchard, 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!
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Reviewed in the United States on June 27, 2025
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CL
Lexington, 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.
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Reviewed in the United States on November 14, 2025

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