Scientific Simulations
Cloud GPUs for advanced scientific simulation.
Built for the math
When research outgrows the workstation and the shared cluster has a queue, put it on the cloud instead. Massed Compute gives you on-demand GPU and CPU instances tuned for the math behind serious simulation — double-precision throughput, high memory bandwidth, and multi-GPU scaling — with no allocation requests and no batch queue.
3.35 TB/s
Memory Bandwidth
H100 HBM3
67 TFLOPS
FP64 Tensor
Per H100
900 GB/s
NVLink
GPU-to-GPU
Zero
Queue Wait
On-Demand
Fields we serve
Advanced simulation,
whatever your field.
Research is no longer complete without accurate simulation, and accurate simulation needs compute. From fluid dynamics to quantum mechanics, here’s where researchers put our GPUs to work.
Computational Fluid Dynamics
Resolve fluid flow and heat-transfer problems — aerodynamics, combustion, blood flow, weather. CFD solvers are bound by memory bandwidth and double-precision throughput, exactly where the H100’s HBM3 and FP64 cores earn their keep.
Molecular Dynamics
Simulate the motion of atoms and molecules over longer timescales and larger systems. Accelerate GROMACS, AMBER, NAMD and LAMMPS for chemistry, drug discovery and materials science — scale out for bigger ensembles, scale back when you’re done.
Climate & Weather Modeling
Model oceans, atmosphere, land and ice at the resolution your science demands. Mapping and predicting climate patterns rewards both accuracy and reliability — run reproducible, long-horizon simulations on hardware built for sustained HPC workloads.
Astrophysical Simulations
Study galaxy formation, stellar evolution and N-body dynamics with compute that keeps up. Backed by multi-GPU NVLink scaling, large gravitational and hydrodynamic simulations run faster and at higher fidelity.
Quantum Mechanics & Materials
Track every electron. Quantum chemistry and condensed-matter methods — DFT, quantum Monte Carlo — are computationally unforgiving. A100 and H100 instances deliver the precision and memory headroom these methods require.
Genomics & Protein Folding
The H100’s DPX instructions accelerate dynamic-programming algorithms like Smith-Waterman, speeding genome sequencing and alignment. Pair that with high memory bandwidth for protein-folding and structural-biology pipelines.
Quantum Circuit Simulation
Prototype quantum algorithms on classical hardware before QPU time is worth the wait. Run state-vector and tensor-network simulators — cuQuantum, Qiskit Aer, PennyLane Lightning, qsim. Every added qubit doubles the state vector, so circuit simulation is bound by memory capacity and bandwidth — exactly what Blackwell B200 instances deliver.
Lattice QCD & High-Energy Physics
Simulate quantum chromodynamics on a spacetime lattice and model particle interactions from first principles. Gauge-theory calculations are relentlessly FP64-bound and scale across many GPUs — a natural fit for double-precision throughput and NVLink bandwidth.
Why researchers choose us
You’re the researcher.
We’re the technicians.
You focus on the science. We handle the hardware, the drivers, and the scaling — with engineers who actually understand HPC workloads.
Double-Precision Power
Scientific solvers live and die on FP64 and memory bandwidth. The H100 delivers roughly 34 TFLOPS of FP64 (67 via tensor cores) and 3.35 TB/s of HBM3 — built for the equations, not just inference.
Scale Without the Queue
No allocation requests, no batch-scheduler backlog. Spin up a single GPU or a multi-node cluster on demand, run your job, and tear it down when you’re done — no long-term commitment.
Engineers, Not Tickets
Our team has deep backgrounds in IT, HPC and server configuration. Reach a real engineer who knows CUDA, drivers and scientific software stacks — and helps you clear bottlenecks instead of filing tickets.
The H100 was built for this.
High memory bandwidth and powerful double-precision throughput make the H100 ideal for weather forecasting, molecular dynamics and computational biology. Its DPX instructions accelerate genome sequencing and protein-folding workloads, and NVLink lets it scale across GPUs for tightly coupled simulations.
Memory
80 GB HBM3
Bandwidth
3.35 TB/s
FP64
~34 TFLOPS
FP64 Tensor
~67 TFLOPS
NVLink
900 GB/s
Best for
Weather · MD · Genomics
Trusted NVIDIA Partner
Certified hardware. Current drivers.
Every instance.
As an NVIDIA Preferred Partner, we have direct access to the full enterprise catalog. Every instance ships with vendor-tested drivers and firmware on day one — no compiling, no compatibility surprises, just the compute your simulation needs.
Enterprise GPU Solutions
FP64-capable GPUs across the enterprise catalog — Blackwell, Hopper, Ada Lovelace, Ampere. Matched to your solver, available on demand.
B200
B100
H200
H100
A100
L40S
RTX 6000 Ada
A6000
Three ways to run it
Think it. Build it. Scale it.
Match the deployment to the job — from a single on-demand GPU for development to a multi-node cluster for production runs.
On-Demand
Launch a GPU instance in minutes, pay by the hour, and shut it down when your run completes. Ideal for iterative development and bursty jobs.
GPU Clusters
Multi-node, NVLink- and InfiniBand-connected clusters for tightly coupled simulations that need to scale across many GPUs.
Bare Metal
Dedicated physical servers with no hypervisor and no neighbors — full hardware control for compliance-sensitive or performance-critical research.