Ash · extension
Train machine-learning models like you build scenes.
Ash is the ML training workstation of the BigBrain line — the flagship AI tool. Design training pipelines visually, run them GPU-first on your own hardware, watch losses and samples live, and keep every experiment in a ledger you can trust. It runs as an extension on the godspeed engine.
Buy godspeed + ash
Two license keys arrive by email — one for the engine, one for ash. Stacking more modules? Every combination is cheaper together.
What it does
Visual pipeline design
Build training graphs on a blueprint-style canvas; ash compiles them through our native toolchain — no glue scripts, no Python environment to babysit.
GPU-first training
Training runs exclusively on the GPU — NVIDIA and Apple, picked automatically — through the same GPU stack that renders the engine.
Ledgered experiments
Every run is recorded: configuration, metrics, artifacts. Reproduce any experiment, compare any two, and never lose a good checkpoint again.
A run screen worth watching
Losses, samples, and diagnostics live as they happen — training is a first-class screen in the workstation, not a scrolling log.
Trainer and runtime, cleanly split
The trainer is the product you buy; the runtime primitives are an installable substrate other software can detect and use — our other products do exactly that.
Pairs with boltzmann
Add boltzmann and model development gets version control: experiments, model versions, and tickets in one flow.
Deeper dive: the ash documentation.