Use case · molecular dynamics

A GPU cloud for molecular dynamics.

Run MD simulations and generate data for AI molecular models on thousands of GPUs starting at $0.015 per hour. Our open-source batch binary handles checkpointing and auto-scaling so interruption never costs you a trajectory.

A molecular backbone with a bound ligand, and eight simulation timesteps running in parallel
90%+savings, GROMACS on 30 GPUs
95%less cost, OpenMM on 25 consumer GPUs
16,000+daily active GPUs, RTX 3090 to 5090
96 GBper GPU on Salad Dedicated for the largest systems
Why it fits

Simulation sweeps are made for a distributed network.

Ensemble runs, replica exchange, and free-energy calculations parallelize across independent GPUs with no interconnect requirement. Consumer RTX cards deliver strong single-precision throughput per dollar, and checkpointing to storage makes preemption harmless. For very large systems that need 96 GB on one device, Salad Dedicated adds reserved RTX PRO 6000 Blackwell capacity.

  • GROMACS, OpenMM, and custom engines in your own container
  • Long-running task patterns with RabbitMQ, SQS, or Kelpie
  • Automatic reallocation and resume from checkpoint
Klyne.ai

"If you want access to 1000s of GPUs, you can get them on SaladCloud for better cost-efficiency. Salad is also really customer friendly, something you cannot get from a larger cloud provider as a startup."

Zachary Lawrence · CEO, Klyne.ai · AI drug discoveryCase study →
Benchmarks and guides

Read the methodology.

GROMACS on 30 GPUs

90%+ cost savings versus data-center GPUs.

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OpenMM on 25 consumer GPUs

95% less cost.

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Long-running tasks with RabbitMQ

How-to guide for checkpointed MD jobs.

Docs →