GROMACS is an open-source molecular dynamics engine, offered here with additional charges for configuration, automation, and technical support. This AMI delivers a fully optimized HPC environment with GPU acceleration, MPI support, scientific libraries, VMD visualization, BioBB workflow automation modules, and Amazon DCV remote access ideal for high-performance molecular simulation and analysis.
GROMACS HPC Enterprise Solutions is a repackaged, open-source molecular dynamics simulation engine, optimized for high-performance computing on AWS, with additional charges applied for configuration, automation, and technical support.
This Product provides a fully prepared HPC environment with GPU-accelerated GROMACS, pre-installed NVIDIA GPU drivers, CUDA support, OpenMPI, FFT libraries, and performance-tuned configurations. Developed interactive and automated MD workflows in GROMACS by integrating BioBB modules like biobb analysis, biobb common, biobb gromacs, biobb io. This enabled standardized system preparation, simulation execution, data handling, and advanced trajectory analysis, resulting in a reproducible and efficient biomolecular simulation pipeline.
GPU-Accelerated GROMACS Environment: GROMACS compiled with CUDA, OpenMPI, FFTW, and optimized numerical libraries for maximum simulation throughput.
VMD for Advanced Molecular Visualization: Pre-installed VMD enables real-time visualization of trajectories, molecular structures, and simulation outputs directly in the cloud.
BioBB Modules for Workflow Automation: Includes BioBB libraries to streamline molecular modeling, preparation, analysis, and post-processing workflows through automated scripts.
Automated Workflow Setup: Startup scripts automatically initialize GPU settings, environment variables, BioBB modules, and visualization tools reducing manual setup and enabling faster simulation launches.
Complete Documentation: Step-by-step guidance for launching the instance,running GPU-enabled GROMACS simulations, using VMD for visualization, and executing BioBB workflows
Highlights
GPU-accelerated GROMACS is ready to run within minutes. Avoid complex compilation and setup with a fully optimized, HPC-ready molecular dynamics environment configured for maximum simulation performance
Lightweight Scientific Desktop: Includes XFCE and terminal automation for a clean, fast, GPU-ready desktop optimized for scientific visualization and computation.
Pre-configured automation scripts streamline simulation setup, ensuring instant GPU detection, optimized MPI configuration, and efficient job execution without manual tuning or environment preparation.
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You pay by the hour for the GPU instance type you run. The 19 options map to three EC2 GPU families: g4dn, g5, and g6. Within each family, sizes step up from xlarge through larger multi-GPU configurations. Larger sizes add more GPU, CPU, and memory, so the hourly rate rises with instance size. You pick the family and size that fit your molecular dynamics workload, then start and stop instances as needed. Charges meter through your AWS account, so you only pay for the hours you run.
Top-of-mind questions for buyers
What GPU hardware does each instance family give me for molecular dynamics work?
Each family maps to a different GPU generation. The g4dn sizes use one class of GPU, g5 sizes use A10G-class GPUs, and g6 sizes use a newer generation. Larger sizes within a family add more GPUs, CPU cores, and memory for heavier simulations.
Am I charged when I stop or pause an instance between simulation runs?
The software meters running instance-hours only. When you stop an instance, hourly software charges stop. Underlying AWS storage for the attached volume may still bill separately through your AWS account. You pay software charges only for the hours the instance runs.
Does moving to a larger instance size happen automatically, or do I choose it?
You choose the family and size yourself when you launch. There is no automatic tier jump. To use more GPU or memory, you stop the current instance and start a larger one. The hourly rate then reflects the new size you selected.
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An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
We are excited to launch the GROMACS Molecular Dynamics GPU-Optimised HPC Server , designed for fast and scalable molecular dynamics on AWS. This release includes GPU-accelerated GROMACS with CUDA and OpenMPI fully pre-configured for high-performance simulation.
Amazon DCV provides secure, low-latency remote access to a streamlined XFCE scientific desktop.
This version also includes VMD for molecular visualization and BioBB workflow modules for simplified automation and faster simulation setup.
Additional details
Usage instructions
Follow the steps to get started :
While the instance is in running state copy the public IP.
Use that publicip as https://publicIP:8443 in the browser, Login page opens in the browser.
In terminal Use SSH to connect your AWS EC2 by user ubuntu
Now, In the terminal run this command 'cat DCV-LOGIN.txt'
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This product has charges associated with it for optional seller support and pre-configured stack (ParaTools Pro for E4S™). ParaTools Pro for E4S™ is the hardened Extreme-scale Scientific Software Stack on Rocky Linux, for use with Adaptive Computing's Heidi AI Cloud Supercomputer. It includes over 100 HPC and AI/ML tools, a VNC-based remote desktop environment, and cluster configuration built using the Spack package manager and a proprietary MVAPICH-Plus 4 MPI tuned for AWS Elastic Fabric Adapter (EFA). Develop AI/ML applications using tools such as JAX, Keras, NVIDIA BioNeMo, NVIDIA NeMo™, PyTorch, TensorFlow, and vLLM tuned for AWS and Heidi, along with Julia. The HPC stack features numerical libraries (PETSc, SuperLU-dist, Trilinos, WRF), visualization tools (ParaView, VisIt), performance evaluation tools (HPCToolkit, TAU), and HPC applications (CP2K, deal.II, GROMACS, LAMMPS, OpenFOAM, Quantum Espresso, WarpX, Xyce). Default SSH user on this image is `rocky`.
This product has charges associated with it for optional seller support and pre-configured stack (ParaTools Pro for E4S™). ParaTools Pro for E4S™ is the hardened Extreme-scale Scientific Software Stack on Ubuntu and Rocky Linux, using AWS ParallelCluster, with over 100 HPC and AI/ML tools, an optional Amazon DCV remote desktop on the cluster head node, and cluster configuration built using the Spack package manager and a proprietary MVAPICH-Plus 4 MPI tuned for AWS Elastic Fabric Adapter (EFA). Develop AI/ML applications using tools such as JAX, Keras, NVIDIA BioNeMo, NVIDIA NeMo™, PyTorch, SGLang, TensorFlow, and vLLM tuned for AWS ParallelCluster, with a complete HPC software stack including numerical libraries (PETSc, SuperLU-dist, Trilinos, WRF), visualization tools (ParaView, VisIt), performance evaluation tools (HPCToolkit, TAU), HPC applications (CP2K, GROMACS, LAMMPS, OpenFOAM, Quantum Espresso, WarpX, Xyce).
This product has charges associated with it for optional seller support and pre-configured stack (ParaTools Pro for E4S™). ParaTools Pro for E4S™ is the hardened Extreme-scale Scientific Software Stack on Ubuntu, using AWS Parallel Computing Service (AWS PCS), with over 100 HPC and AI/ML tools, a remote desktop environment (Amazon DCV), and cluster configuration built using the Spack package manager and a proprietary MVAPICH-Plus 4 MPI tuned for AWS Elastic Fabric Adapter (EFA). Develop AI/ML applications using tools such as JAX, Keras, NVIDIA BioNeMo, NVIDIA NeMo™, PyTorch, TensorFlow, and vLLM tuned for AWS Parallel Computing Service, with a complete HPC software stack including numerical libraries (PETSc, SuperLU-dist, Trilinos, WRF), performance evaluation tools (HPCToolkit, TAU), HPC applications (GROMACS, LAMMPS, OpenFOAM, Quantum Espresso, WarpX, Xyce).
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