AI-powered and unifiedyour compute fleet, anywhere
Cloud, laptops, GPU servers, HPC — one connected fleet.dxflow runs containerized workflows across any infrastructure.
A single binary thatturns a machine into a node
One install and the machine joins your fleet — no control plane to stand up, and nothing pulled into someone else's system. It runs where the work already is, and every machine is driven the same way.
Up and running in a few commands
Log in, activate a license, boot the engine, then start the work.
One API, two clients
The terminal and the browser take the same route and read back the same state.
You act
Run it in your shell, or hit Start in the console.
One route
Both turn into the very same HTTP request.
Both agree
Either client reads the same engine state back.
Workflows that are already built
Every one is a container, built and pinned. You pull it by name.
Work that outgrew a laptop
Solvers, models and pipelines — on the machines you already have.
AI and machine learning
Train, fine-tune or serve a model on the GPUs you already have.
Simulation and HPC
Solvers, molecular dynamics and CFD, spread across cluster nodes.
Data and analysis
Notebooks, pipelines and long batch jobs, kept close to the data.
Thirty minutes, on your own setup
Free and quick to stand up — or walk it with us.
Getting it running
Installing the engine on your machines, and pairing them to a console you hold.
Your infrastructure
Cloud, on-premise, HPC or edge — what fits, and what to watch for on each.
A workflow of your own
Bringing an existing container or pipeline into a workflow you can start by name.
Trusted by many organizations
Research groups, universities and companies running work on their own machines.
