Auto Cinematic
17.1 s
Two minutes and twenty seconds of 1080p footage, analyzed, cut, graded and rendered into a 30 second 2.39:1 film. About 8× faster than real time. Feed it 54 minutes of footage and a graded 30 second highlight is ready in 63 s.
Speed · measured on our machine, published with the method
Fast, because there is no trip.
Cloud AI has to receive your request before it can think about it. Atlas starts on the chip already in front of you. Here is what that looks like, where we win, where we do not yet, and exactly how we measured it.
0.35 sto the first wordNucleus, warm, median of 10
17 sto cut and grade 2 min 20 s of 1080pAuto Cinematic, about 8× real time
0.19 sto auto-enhance an 8 MP photofull-resolution JPEG, median of 5
0 sspent uploadingyour files are already on your disk
Measured September 29, 2026 on one Apple M5 Pro MacBook (15-core CPU, 16-core GPU, 24 GB), on AC power, Ollama 0.34.3, everyday apps left open.
Chat
As fast as the fastest cloud model. Without sending a word.
For a short answer, Atlas and the quickest cloud models start typing at about the same moment. The difference is where your words had to go to get there. Press run: the bars fill at a quarter of real speed so you can see them.
0 ms
Studio
Where local pulls away.
Photos and footage are heavy. A cloud editor has to receive every byte before it starts. Atlas reads them straight from your disk and does the work on your chip.
Photo Auto Enhance
0.19 s
An 8 MP iPhone photo, fully corrected and saved at full resolution. A 36.6 MP photo takes 0.56 s.
Instant visuals
0.03 ms
To pick the right built-in simulation for a question, with no model call. A custom diagram shows its first node in 1.7 s.
Editing video?
The cloud has to receive it first.
Before a cloud editor can touch your footage, every byte has to travel up your internet connection. Set your file size and your upload speed. This is arithmetic, not a benchmark.
A minute of 4K iPhone video is roughly 170 to 400 MB depending on settings.
Cloud editor27 minjust to upload, before editing starts
Atlas0 sthe file is already here. Editing starts now.
Why
Where the time goes, and where it doesn't.
Cloud AI waits on
- Distance. Your request crosses the internet to a data center and the answer crosses it back.
- A shared queue. The same GPUs serve millions of people. At busy hours you wait your turn.
- Uploads. Photos, video and documents have to arrive before work can begin.
- Metering. Every token costs the provider money, so usage is capped and throttled.
Atlas skips it because
- The model is already here. Barx keeps it warm in your memory between questions.
- Nobody else is in line. Your chip works for you alone.
- The file is already here. Studio reads straight from your disk.
- The hardware is matched. Barx fits the model, context and GPU layers to your machine every time.
Honest trade-off: the largest cloud models are bigger than anything a laptop can hold, and on hard reasoning they can be stronger. Atlas is built for speed, privacy and everyday work, and hands off to the web when an answer needs fresh facts.