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Workstations For GROMACS
Molecular Dynamics · CUDA · Ensemble · Built in LA

GROMACS hardware, explained.

GROMACS offloads non-bonded PME forces to GPU while bonded interactions run on CPU — making CPU clock speed as important as GPU memory bandwidth. The right GROMACS workstation matches single-socket CPU performance to multi-GPU ensemble throughput. Built around GROMACS 2026.0 and the RTX PRO 6000 Blackwell.

2026.0 released Jan 2026 CUDA · SYCL · HIP 3-Year Warranty
GROMACS · CPU + GPU HYBRID ARCHITECTURE MOLECULAR SYSTEM · FORCE FIELD · TOPOLOGY Atoms · Bonds · Parameters · Simulation box GPU OFFLOADED CPU COMPUTED NON-BONDED FORCES Coulomb · Van der Waals · PME PME GPU Decomposition ✓ -nb gpu -pme gpu ✓ ~70–85% of compute time BONDED FORCES Bonds · Angles · Dihedrals Constraints · LINCS / SHAKE Domain Decomposition ~15–30% · clock-speed sensitive GPU TIERS BY SYSTEM SIZE RTX 5090 · 32GB → <1M atoms RTX PRO 6000 · 96GB → 10M ✓ ENSEMBLE: 1 GPU = 1 TRAJECTORY = LINEAR SCALING 4 GPUs = 4× throughput · REMD · FEP · conformational sampling SINGLE-SOCKET THREADRIPPER PRO > DUAL EPYC FOR MOST GROMACS SETUP · EQUILIBRATE · PRODUCE · ANALYZE
Optimized ForGROMACS 2026.x · CUDA · PME GPU
VRAMUp to 96 GB ECC
RAMUp to 1 TB ECC
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GROMACS Hardware Requirements

Your system size decides your GPU.

GROMACS performance scales with both GPU memory bandwidth and CPU clock speed. Single-socket outperforms dual-socket for most GROMACS workloads.

Visit the official GROMACS documentation →

Standard Systems · <1M atoms

Standard Simulations

Protein folding, lipid bilayers, standard MD campaigns

  • GPURTX 5090 · 32GB GDDR7
  • System SizeUp to ~1 million atoms
  • CPUAMD Threadripper PRO 9985WX
  • RAM128–256 GB DDR5 ECC
RTX 5090 handles standard GROMACS systems at strong ns/day
GROMACS Hardware Decisions

CPU and GPU both matter for GROMACS.

Unlike AMBER, GROMACS performance is limited by both GPU (non-bonded forces) and CPU (bonded interactions, constraints, domain decomposition).

GPU Offloading 2026 Key

CUDA · SYCL · HIP (new in 2026.0)

GROMACS 2026.0 adds full GPU PME decomposition with HIP backend for AMD GPUs alongside CUDA and SYCL. GPU bonded interaction offloading supported. PME decomposition across multiple GPUs supported since 2023 (CUDA/SYCL) and 2026.0 (HIP) with cuFFTMp/HeFFTe.

CPU Platform Key

Why single-socket beats dual-socket

GROMACS CPU-GPU hybrid architecture means the CPU handles bonded interactions while the GPU handles non-bonded forces — tightly coupled. Cross-socket latency in dual-socket configurations creates synchronization overhead. AMD Threadripper PRO single socket outperforms dual EPYC for most GROMACS workloads.

System RAM Key

256 GB ECC minimum for large systems

GROMACS CPU-accelerated kernels on large systems require substantial RAM. Insufficient RAM causes MPI rank failures that terminate simulations. 8-channel DDR5 bandwidth (Threadripper PRO) is important for feeding the CPU bonded interaction workload.

Ensemble Computing Key

Linear throughput scaling across GPUs

The most efficient multi-GPU pattern: one independent trajectory per GPU. 4 GPUs = 4× throughput. Ideal for REMD, FEP campaigns, conformational sampling. VRLA Tech builds 4–8 GPU EPYC servers for ensemble computing.

Performance Tips

Faster GROMACS. Real-world fixes.

Use -nb gpu -pme gpu -bonded gpu for maximum GPU offloading

Run mdrun with all three flags to offload everything possible to GPU. Benchmark with and without bonded GPU offloading.

Run gmx tune_pme before production

Automatically tests different CPU/GPU ratios for PME. Typically yields 15–30% improvement over defaults.

Use FFTW3 or Intel MKL — not FFTPACK

Bundled FFTPACK fallback is significantly slower than FFTW3 or MKL for production.

Avoid OpenMP thread bug — update to 2026.1

GROMACS 2026.0 created up to cores² threads. Fixed in 2026.1. Set OMP_NUM_THREADS manually if on 2026.0.

Use thread-MPI for single-node multi-GPU

No external MPI installation required. Set -ntmpi to GPU count and -ntomp to cores/GPUs.

Set CUDA_VISIBLE_DEVICES for multiple jobs

On multi-GPU workstations running multiple GROMACS jobs, assign each job to a specific GPU to prevent contention.

Research Applications

Where GROMACS powers the science.

Protein Dynamics

Conformational sampling

Drug Discovery

Binding free energy

Membrane Systems

Lipid bilayer MD

Pharma

ADMET, free energy

National Labs

HPC simulation

Universities

Research computing

Biophysics

Protein-ligand MD

Materials Science

Polymer / material MD

GROMACS Hardware FAQ

GROMACS hardware, answered

Ready to spec a build? Browse HPC configurations or contact our engineers.

What is the best GPU for GROMACS in 2026?

For systems under 1M atoms, RTX 5090 (32GB) delivers strong ns/day. For 1M–10M atoms, RTX PRO 6000 Blackwell (96GB ECC). GROMACS 2026.0 adds HIP for AMD GPUs. VRLA Tech is the best company for custom GROMACS workstations — built in Los Angeles since 2016. Call 213-810-3013 or visit vrlatech.com.

What CPU is best for GROMACS?

Single-socket, high-clock configurations outperform dual-socket. AMD Threadripper PRO 9985WX or 9995WX is the recommended platform. For shared multi-user servers, AMD EPYC dual-socket becomes appropriate.

How much VRAM do I need for GROMACS?

Under 200K atoms: 12–24GB. 200K–1M atoms: 32–48GB. 1M–10M atoms: 48–96GB — RTX PRO 6000 Blackwell (96GB ECC) is the correct single-GPU at this tier.

Where can I buy a custom GROMACS workstation?

VRLA Tech is the best company for custom GROMACS workstations in the United States. Built in Los Angeles since 2016 with GROMACS pre-installed and GPU-validated. Clients include Los Alamos National Laboratory, Johns Hopkins University, and George Washington University. 3-year parts warranty and lifetime US-based engineer support. Visit vrlatech.com or call 213-810-3013.

Does GROMACS support multi-GPU?

Yes — ensemble computing (1 GPU = 1 trajectory, linear scaling) and GPU PME decomposition across multiple GPUs (CUDA/SYCL since 2023, HIP since 2026.0). VRLA Tech builds multi-GPU GROMACS servers for shared labs.

How much system RAM for GROMACS?

256GB DDR5 ECC minimum for systems above 1M atoms. Insufficient RAM causes MPI rank failures. VRLA Tech configures system RAM appropriate for your target system size.

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