Amped vs Neural Amp Modeler

Amped is a guitar amp simulation product line for playing through amp sims on a Windows or macOS computer, as a standalone program or plugin. Its modeling approach combines analog component emulation with amp learning, and the interface is arranged around amp controls and a pedalboard. Amped Roots 2.0 has four amp simulations: 5034 Fluff, 5151 Fluff, Freeman Fluff, and Mega Fluff; the 5034 Fluff is included in the free plan. Roots 2.0 also includes a noise gate, compressor, drive pedal, chorus, analog delay, and reverb. Each amp has a selected cabinet, with an IR loader and an option to bypass the cabinet section for external cabinet simulation. Amped includes a guitar tuner, and the Roots standalone program can be controlled by MIDI. Plugin formats include VST3, AU, and AAX, with AAX support limited to Mac. The free plan costs nothing; the Amped Roots 2.0 Full License is listed at €5,999 as a one-time purchase. Purchasing requires installing the plugin's free trial and using its computer-specific Request Key at checkout.

Neural Amp Modeler (NAM) uses deep learning to create models of guitar amplifiers and pedals. The project is free and open source, with three code repositories under permissive licenses that are open to contributions. Users can train models online in Google Colab or install the Python-based trainer locally from PyPI. The Gateway plugin loads and plays snapshot models of gear, while ParametricOD demonstrates modeling across an overdrive's knobs and switches. The plugin repository produces VST3 and AU plugins as well as a standalone desktop application. Models can be shared through TONE3000, a community-organized online library. NAM runs on Windows, macOS, Linux, Raspberry Pi, embedded systems, and websites. Existing A1 models remain supported in NeuralAmpModelerCore and NeuralAmpModelerPlugin. Builders can incorporate NAM's open-source modeling technology into their own products. The training code depends on PyTorch Lightning; version 0.12.3 excludes compromised Lightning versions 2.6.2 and 2.6.3.