Rafael Guilherme Bertholdo has released NAM Loader Pedal: AUv3 Plugin, available for $4.99.
Load any A2 .nam Neural Amp Model. Browse thousands on Tone3000. Authentic amp tones with built-in gate, EQ & IR. Use standalone or as AUv3 in your DAW
Neural Amp Modeler (NAM) Loader brings the power of neural network-based amp modeling to your iOS device. Load any .nam model captured from real guitar amplifiers and cabinets, and play through them with the authentic feel and response of the original gear.
Whether you’re practicing with headphones, recording in GarageBand or AUM, or playing live through vour favorite AUv3 host, NAM Loader delivers studio-quality amp simulation with the warmth and character of classic tube amps, the punch of solid-state, or the high-gain tones of modern metal – all from a single neural network model.
Tone3000 Community Integration:
- Browse thousands of community-created NAM models
- Sign in with your Tone3000 account to access your saved tones
- Download and load models directly within the app
- Search by amp, pedal, or artist to find your perfect sound
Note: This app requires an AUv3-compatible host app (such as GarageBand, AUM, or Cubasis) to function as a plugin. In standalone mode, it operates as an audio effects processor with full MIDI control.
Download NAM Loader today and unlock the world’s largest collection of neural amp models on your iPhone or iPad
Features include:
- Load any standard .nam neural amp model
- Built-in noise gate to keep your signal clean
- Tone stack EQ (Bass, Middle, Treble) to shape your sound
- .Impulse Response (IR) support for cabinet simulation
- AUv3 plugin – works with GarageBand, AUM, Cubasis. and more
- Standalone mode with built-in audio input
- MIDI CC mapping for hands-free parameter control
- Low-latency processing for real-time performance
- Perfect companion for Studio Camera and other music apps
For more information on NAM Loader Pedal, click here:
NOTE: Some of the links you click on may be affiliated. Clicking and purchasing using these links helps support and fund The Beat Community. Thanks for your support.










