Ampire vs Neural Amp Modeler
Ampire
presonus.com
Neural Amp Modeler
neuralampmodeler.comSide by side
| Figure | Ampire | Neural Amp Modeler |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | — | Yes |
| Plans published | 1 | 1 |
| Spec score · Guitar Amp Software | 7.7 (#11) | 7.4 (#17) |
| What it does | Ampire is a guitar rig simulator that models guitar amplifiers, cabinets, and pedals using State Space Modeling. | Neural Amp Modeler uses deep learning to create models of guitar amplifiers and pedals with state-of-the-art accuracy. |
Plans
In their own words
Neural Amp Modeler
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.