TONE3000 Blog
Introducing Neural Amp Modeler (NAM) Architecture 2 (A2)
The most accurate and best sounding amp modeling technology in history. Open source. Runs on a $3 chip. Available now.
Running NAM on Embedded Hardware: Guide & Insights | TONE3000
We built a NAM loader for the Electrosmith Daisy Seed: an ARM Cortex-M7 board that's become a popular foundation for DSP-based audio products, from eurorack modules to commercial guitar pedals.
Blackstar Beam Mini: NAM-Powered Guitar Amp Unveiled | TONE3000
Today, we’re excited to announce Blackstar’s flagship Beam Mini, the world’s first amplifier to natively support Neural Amp Modeler (NAM) via direct integration with TONE3000.
Announcing A2: The Next Generation of Neural Amp Modeler
TONE3000 is partnering with the creator of Neural Amp Modeler, Steve Atkinson, to build the future of NAM so it's more efficient, works on more devices, and sounds even better. Launching March 2026.
Slimmable NAM: The Future of Neural Amp Modeling | TONE3000
Discover how Slimmable NAM is revolutionizing guitar tone with scalable AI models for any hardware. Learn about the future of Neural Amp Modeler at TONE3000.
Introducing the NAM Web Player: Audition Tones Online | TONE3000
Audition any guitar or bass tone instantly with the new NAM Web Player on TONE3000. Browse thousands of Neural Amp Modeler captures directly in your browser.
TONE3000 API: Integrate Neural Amp Models into Your Apps
Instantly connect your plugin, pedal, or app to the TONE3000 library.
Introducing Best Fit: Faster NAM Model Training | TONE3000
Optimize your neural amp modeling with TONE3000's new Best Fit feature. Train models faster, save time, and maximize compute resources for the best guitar tones.