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A cloud LAMMPS runner with GPU (KOKKOS) support

QuickMDSim 4 min read

QuickMDSim runs LAMMPS (Large-scale Atomic/Molecular Massively Parallel Simulator) in the cloud. You write the same input script you would use on a cluster, submit it from the browser, and download the log and trajectory when the run finishes.

What it is

QuickMDSim homepage with the line Run LAMMPS in the cloud.
quickmdsim.com. The product is the runner at app.quickmdsim.com.

Molecular dynamics (MD) integrates Newton's equations for a set of atoms. LAMMPS is the usual engine for classical MD in materials and soft matter. A run is defined by an input script (commands such as pair_style, fix, run) plus any topology or potential files the script names.

The loop in QuickMDSim is the same as on a cluster, without the queue:

  1. Create a project so inputs, runs, and outputs stay together.
  2. Edit the LAMMPS input in the browser. There is no separate GUI language.
  3. Submit. The job runs in a container that executes lmp.
  4. Download the log and dump files. A dump is a trajectory of atom positions.

Billing is in CPU-hour credits: wall time multiplied by the number of cores (GPU jobs use a published multiplier). A free allocation is added after email verification.

CPU and GPU

Free and Basic plans run on CPU (1 core on Free; up to 4 on paid CPU). Pro can run on an NVIDIA L4 GPU through LAMMPS KOKKOS, a performance-portability layer that executes pair styles on the device. The input does not need /kk suffixes; the GPU runner adds them. Details are in GPU (KOKKOS). ReaxFF, MEAM, and machine-learned potentials are not in the current images.

Why a cloud runner

Most delay between a finished input and a first trajectory is not physics. It is waiting on a shared queue, loading modules, or standing up a cloud instance. QuickMDSim is for people who already write LAMMPS inputs and want that wait to be minutes:

  • students and postdocs who run short-to-medium jobs daily;
  • labs that do not want to operate a cluster;
  • groups that need isolated jobs for a course or a validation study.

It is not a 10,000-core production allocation, not a force-field generator, and not an “AI discovery” product. The limit that matters is credits and the compiled LAMMPS packages.

Status

The app is live at app.quickmdsim.com. If a workflow does not fit, email us.