Balanced GPU-Accelerated Workstations for GROMACS
Purpose-built molecular dynamics platforms engineered for GROMACS. Accelerate your all-atom and coarse-grained simulations with balanced CPU-GPU architectures optimized for PME electrostatics, free energy perturbation, and long-timescale biomolecular kinetics.
GROMACS Software Ecosystem & Deployment Support
Every GROMACS workstation ships with OS installed, NVIDIA CUDA toolkits validated, and GPU drivers configured. Our engineers verify solver execution and run benchmark molecular dynamics simulations before handover.
We Validate Your Molecular Dynamics Environment
Skip the complex dependencies. Kirti Telnet provisions your hardware with AVX-512-optimized GROMACS binaries, validated CUDA 12+ toolkits, and pre-configured OpenMPI/Thread-MPI environments, ensuring your molecular dynamics simulations execute flawlessly out of the box.
Primary Solver
Molecular Dynamics Engine
Best for: All-Atom & Coarse-Grained MD Simulation
Force Fields & Parameters
Biomolecular Force Field Libraries
Best for: Parameterizing Molecular Systems
AMBER / CHARMM / GROMOS — All-atom force fields for biomolecular simulations
Post-Processing & Visualization
Trajectory Analysis & Rendering
Best for: Visualizing & Analyzing MD Trajectories
PyMOL — Molecular graphics for publication-quality rendering
MDAnalysis / Grace — Python-based trajectory analysis & XY plotting
Supported Operating Systems
HPC & Scientific Compliance
Best for: Stable HPC & Research Environments
Rocky Linux 9 — Enterprise-grade RHEL-compatible HPC platform
Enterprise System Matrix — GROMACS Simulation Nodes
GROMACS leverages a unique hybrid CPU-GPU architecture where PME electrostatics and non-bonded force calculations are offloaded to NVIDIA GPUs while bonded interactions and domain decomposition remain CPU-bound. Our systems are carefully balanced to ensure neither component becomes a bottleneck.
All prices are tentative and subject to change based on configuration and component availability. GROMACS is free, open-source software (LGPL).
Entry Biophysics Rig
Small protein-in-water systems, introductory MD simulations, and short-timescale trajectory generation with GPU-accelerated non-bonded calculations.
RAM: 64 GB DDR5 6000 MT/s
GPU: 1x NVIDIA RTX 4000 Ada 20GB
Storage: 1 TB Gen4 NVMe
Starting Price
Advanced Solvation Station
Mid-complexity membrane protein systems, solvation free energy calculations, and extended all-atom trajectories with ECC-validated memory.
RAM: 128 GB DDR5 ECC (4-Channel)
GPU: 1x NVIDIA RTX 4500 Ada 24GB
Storage: 2 TB Gen4 NVMe
Starting Price
High-Throughput Ensemble
Large-scale FEP campaigns, multi-replica ensemble simulations, and high-throughput screening with dual-GPU acceleration and 8-channel ECC memory bandwidth.
RAM: 256 GB DDR5 ECC (8-Channel)
GPU: 2x NVIDIA RTX 5000 Ada 32GB
Storage: 2 TB Gen5 NVMe + 2 TB Scratch
Starting Price
Extreme Kinetics Rig
Microsecond-scale all-atom kinetics, massive coarse-grained Martini systems, and multi-walker metadynamics with quad-GPU 48GB acceleration.
RAM: 512 GB DDR5 ECC (8-Channel)
GPU: 4x NVIDIA RTX 6000 Ada 48GB
Storage: 4 TB Enterprise NVMe RAID
Starting Price
Enterprise GROMACS Cluster Node
Batch-mode MD clusters, enterprise job scheduling, multi-system parametric sweeps, and quad-GPU L40S compute for maximum simulation throughput.
RAM: 1 TB DDR5 ECC Reg (12-Channel)
GPU: 4x NVIDIA L40S 48GB
Storage: 7.68 TB Enterprise U.2 NVMe
Starting Price
Engineering Disclaimer: Optimal simulation speed in GROMACS depends on the balance between CPU core count (for bonded interactions and domain decomposition) and GPU compute (for PME and non-bonded forces). Multi-GPU setups require careful task assignment between PME and particle-particle ranks.
Architectural Features & Performance
Balanced PME & Non-Bonded Offload
GROMACS splits workload between CPU and GPU. PME electrostatics and short-range non-bonded forces are offloaded to NVIDIA GPUs via CUDA, while bonded interactions remain CPU-bound. Our systems balance high-clock CPUs with dense GPU compute to prevent either side from stalling the simulation pipeline.
High Memory Bandwidth for Domain Decomposition
GROMACS decomposes simulation boxes across CPU cores for parallel processing. This requires sustained memory bandwidth to exchange halo regions between domains. Our AMD Threadripper PRO and EPYC platforms deliver up to 12-channel DDR5 bandwidth, keeping domain communication latency-free.
Dedicated Low-Latency Scratch Volumes
Long-timescale MD simulations generate massive trajectory files. Writing multi-terabyte .xtc and .trr outputs requires sustained disk throughput. Our workstations feature dedicated enterprise-grade NVMe Gen 4/Gen 5 scratch arrays with high TBW endurance, ensuring checkpoint and trajectory writes never bottleneck the simulation.
Frequently Asked Questions
How important is the CPU-GPU balance for GROMACS performance?
Extremely important. Unlike purely GPU-driven solvers, GROMACS distributes work across both CPU and GPU. The GPU handles PME electrostatics and non-bonded force calculations, while the CPU manages bonded interactions, constraints, and domain decomposition. An overpowered GPU paired with a weak CPU will stall at the CPU-bound steps, and vice versa. Our systems are specifically balanced to prevent this.
Does GROMACS support multi-GPU configurations?
Yes. GROMACS supports multi-GPU setups through its Thread-MPI and OpenMPI implementations. In a multi-GPU configuration, one GPU can be dedicated to PME calculations while the others handle particle-particle (PP) non-bonded forces. This is particularly effective for large systems with high particle counts where a single GPU would become a bottleneck.
How much RAM do I need for molecular dynamics simulations?
RAM requirements depend on system size and the number of parallel ranks. Small protein-in-water systems (under 100,000 atoms) run comfortably on 64 GB. Large membrane systems, coarse-grained Martini models with millions of particles, or multi-replica FEP campaigns running concurrently require 256 GB to 512 GB. High memory bandwidth (multi-channel DDR5) is equally important for domain decomposition efficiency.
Do I need ECC Memory for GROMACS simulations?
Yes. Molecular dynamics simulations can run continuously for days or weeks to reach biologically relevant timescales. Error-Correcting Code (ECC) memory prevents single-bit errors caused by background radiation from corrupting your trajectory data or causing spontaneous solver crashes during a critical production run.
Request Custom Simulation Architecture
Talk to KTPL’s infrastructure engineers for a workload assessment and GPU-optimised hardware recommendation for your GROMACS molecular dynamics environment.
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