NAM ON STEROIDS - VST3/AU Plugin and Standalone

¥0 JPY

Expanded version of the popular Gateway plugin (ex Neural Amp Modeler) by Steve Atkinson which loads and plays NAM models.

What it offers more than Gateway:

  • Oversampling (up to 32x): allows to get rid of aliasing by using a novel oversampling technique called "Time-scaled convolution".
    Besides classic upsampling-filter-downsampling, Wavenet convolution-based models require to have dilations and other internal parameters multiplied by the oversampling rate to not produce aliasing and sound correct.
  • Separate oversampling and anti-alias filter settings for realtime playback and offline rendering.
  • Multi-core support: spreads the CPU load across all available cores when using oversampling.
  • Stereo processing: you can choose to process the signal in stereo, this applies the same NAM model, IR and settings to both channels, but keeps them separate for true stereo processing.
  • Customizable tonestacks: you can switch between different tonestacks based on schematics of popular amps/pedals/outboard gear to change how the EQ controls behave.
    You can also customize them by changing component values.
  • Pre/post EQ switch: move the tonestack processing pre or post NAM model.
  • Filters: low-cut and high-cut filters with indipendent slope and pre/post settings.
  • Boost: 12 dB of additional gain at the input of the model.
  • Presets: 128 internal presets that can freely be named and recalled via MIDI Program Changes.
  • Remote parameters control: assign (or learn) a custom CC message to any of the main parameters of the plugin.
  • Noise gate detector placed before the gain control: so you don't need to adjust the threshold each time you change the input gain setting.
  • Theme color selector: you can freely change the color of all coloured elements in the GUI.
    You can also make the color follow the track color in your DAW project.
  • A simple and handy tuner


Available for Windows and Mac as plugin and standalone
Open source project: https://github.com/DLC86/NAM-Oversampler

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