More than your hardware was built to do.
Atom quantizes AI models so they run in far less working memory. No new hardware, no cloud, and nothing leaving your machine.
One-time license · Runs entirely on your hardware
The bottleneck
It’s not storage. It’s not a new box. It’s working memory.
Modern AI models — image generators, editors, and everything built on top of them — are gated by VRAM, the working memory on your GPU. Run out of it and the heavier capabilities simply won’t load, no matter how much disk you have.
Atom shrinks what a model needs to keep in memory without meaningfully changing what it produces. The headroom you free up can go toward whatever your GPU is bottlenecked on — a new capability like anime-style or 3D rendering, more concurrent jobs, or just a system that runs with fewer crashes and more room to work.
Quantized in place, quality kept
01
Less VRAM, same quality
Quantization cuts working memory use dramatically while keeping outputs within a fraction of a percent of the original. Every run is validated with real before/after numbers.
02
Auto-detects your hardware
Atom reads your GPU and picks the best method for it: NVFP4 / INT4 via Nunchaku on modern NVIDIA, NF4 via bitsandbytes as a universal fallback.
03
Keeps optimizing over time
A background daemon quietly keeps your models optimized as they change, so the one-time purchase keeps paying off long after install.
04
Stays on your hardware
Node-locked, license-activated, and fully local. Your models and your data never leave your machine. Nothing is uploaded, ever.
See how Atom works
A command line, not a checklist.
Atom is a CLI. Point it at a model, let it detect your GPU and choose the right method, then validate the result with real before/after numbers. This is a mocked-up illustration of a typical session — the real, unedited output is next.
- $ atom gpu-inforeads your GPU, recommends a method
- $ atom quantize fluxoptimizes the model in place
- $ atom validateproves the gain, side by side
Illustrative example
Proof, not a promise
A real run, on a real 12GB card.
We ran `atom quantize` and `atom validate` for real against FLUX.1-dev on a 12GB-class GPU, and this is the unedited output: the sample image it produced, and the exact numbers the report recorded.
This run used the universal NF4 fallback, not the faster hardware-accelerated path some newer GPUs qualify for — we’ll publish that number once it’s captured. Full raw report: atom-validation-report.json.
Results will vary by GPU, model, and configuration — this is one real run, not a guarantee of what you’ll see on your own hardware.
Real output · unedited · from an atom validate run
The practical details
How much heavier, on what GPU, and what the limits are.
Method by GPU generation
Native FP4 tensor cores — fastest, smallest footprint.
Hardware-accelerated via Nunchaku's pre-quantized checkpoints.
Universal software fallback — works everywhere, no hardware path needed.
Model family support
Hardware-accelerated (NVFP4/INT4) on modern NVIDIA, NF4 fallback elsewhere.
Software NF4 today; a hardware-accelerated path is roadmap work.
Headroom needed for common upgrades
Anime-style rendering
~6.5–7 GB
additional working memory on top of what's already in use
3D rendering
~8–20 GB
depending on output quality
These are the practical deltas we scope installs against — your exact numbers depend on your GPU and which method it qualifies for. That’s what the compatibility check below is for.
What you get
One tool. The whole optimization workflow.
The commands
Auto method selection
Atom detects your GPU and chooses the best optimization path for it. NVFP4 / INT4 via Nunchaku on modern NVIDIA cards, or NF4 via bitsandbytes as a universal fallback. You don’t tune anything.
Yours, and local
A node-locked, Ed25519-signed license ties Atom to your machine. It runs entirely on your hardware, so your models and your data stay with you.
One-time, not recurring
You buy Atom once. There’s no subscription and no metered usage, and the background optimizer keeps improving your models long after install.
Pricing
One license. One price. Yours to keep.
A flat, one-time cost. No subscription, no recurring fee, and no metered usage. It includes installation, configuration, and validation with real before/after numbers on your own setup.
Atom license
$2,500
one-time
- A perpetual, node-locked Atom license for one machine, yours to keep
- Guided installation and configuration for your exact hardware
- Validation with real before/after numbers: VRAM, speed, output similarity
- Automatic method selection (NVFP4 / INT4 / NF4) tuned to your GPU
- The background optimizer that keeps models lean over time
- Every future optimization improvement, at no extra cost
Node-locked · Activated on your machine