GPU NAM 1.1.0 — open source + all-formats installer
GPU NAM is a Neural Amp Modeler (.nam) player that runs amp captures on the GPU, built on Pulp. This release ships the full open-source repository (Pulp pinned as a submodule) alongside a signed, notarized all-formats installer — the plugin now lives here in its own repo rather than inside the Pulp examples tree.
Install (macOS, Apple Silicon)
Download GpuNam-1.1.0.pkg below and run it. It's signed and notarized — Gatekeeper accepts it with no right-click-to-open dance. The installer's Customize pane lets you pick which formats to install:
- AU →
~/Library/Audio/Plug-Ins/Components/ - VST3 →
~/Library/Audio/Plug-Ins/VST3/ - CLAP →
~/Library/Audio/Plug-Ins/CLAP/ - Standalone app →
/Applications - Sample models & cabinet (optional) →
/Library/Application Support/GPU NAM
Then rescan plugins in your DAW. A default capture ships inside the bundle, so the plugin makes sound immediately; load your own .nam from the model slot for real amp tones.
What's in it
- Loads WaveNet (A1/A2), ConvNet, Linear, and LSTM
.namcaptures, plus RTNeural/Keras (.json) GRU/LSTM — one CPU inference substrate. - Browse controls: ‹ / › step through the models (or cabinets) in a folder — any architecture is detected automatically as you go — and the clear glyph resets a slot. Cabinet IRs swap click-free while audio runs.
- Opt-in GPU engine for the feedforward WaveNet family: the whole forward pass is fused into one GPU submission per block, validated bit-for-bit against the CPU path. CPU is the honest default for small captures; the GPU engine pulls ahead as captures grow.
- Click-free cabinet-IR swaps, host↔model rate resampling, loudness-metadata Normalize mode, and a faithful native editor.
Verify the download
xcrun stapler validate GpuNam-1.1.0.pkg # "The validate action worked!"
spctl --assess -vv --type install GpuNam-1.1.0.pkg # accepted / Notarized Developer ID
Build from source
See the README — Pulp is vendored as a git submodule; CLAP + Standalone need no external SDK.