HPC Cloud for CFD & FEA — Faster Simulations for ANSYS Fluent, Abaqus, OpenFOAM, COMSOL, LS-DYNA, OpenSees
If your simulations are taking hours, days, or even weeks, you’re not alone. Modern engineering models are bigger, more nonlinear, and more detailed than ever.
Engineering Downloads provides HPC (High-Performance Computing) rental built specifically for
CFD and FEA workloads—so you can run more cases, reach better accuracy, and hit your deadlines without buying expensive hardware.
Whether you’re solving turbulent flows in ANSYS Fluent, running nonlinear contact in Abaqus,
executing transient cases in OpenFOAM, doing multiphysics in COMSOL, crash/impact with LS-DYNA,
or structural time-history in OpenSees, the right compute setup can dramatically reduce turnaround time and remove hardware limits.
Is Your CFD / FEA Workstation Holding You Back?
- Long runtimes: cases run overnight… or for multiple days.
- Hardware limitations: you can’t increase mesh size or physics fidelity because RAM/CPU is not enough.
- Too few design iterations: you can’t explore enough geometry or boundary-condition variations before the deadline.
- Queueing pain: you need dedicated performance now, not “maybe later”.
If these sound familiar, HPC for CFD and HPC for FEA is often the fastest upgrade you can make—because it improves time-to-result immediately.
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What Is HPC (High-Performance Computing)?
High-Performance Computing means using powerful computing resources—high core-count CPUs, large RAM, fast storage,
and sometimes GPUs—to solve complex problems much faster than a typical workstation.
Instead of running a simulation on a single machine with limited cores and memory, HPC uses
parallel processing to distribute the workload across many CPU cores (and sometimes multiple nodes).
In simple terms: HPC helps you solve bigger models, faster, more reliably—especially when your simulation involves millions of cells/elements,
complex physics, or long transients.
Why HPC Matters for CFD (ANSYS Fluent, OpenFOAM, COMSOL)
CFD is computationally intense because you’re solving large systems of coupled equations across a mesh. As mesh size increases, the computational cost
grows rapidly—often far beyond what a single workstation can handle efficiently.
With HPC for CFD, you can:
- Reduce solve time: from days to hours (or hours to much less).
- Increase model fidelity: finer meshes, better turbulence modeling, more accurate boundary layers.
- Run more design iterations: explore more geometries and operating conditions.
- Handle heavy transients: multiphase, conjugate heat transfer (CHT), rotating machinery, long time histories.
Why HPC Matters for FEA (Abaqus, LS-DYNA, ANSYS Mechanical, OpenSees)
FEA workloads can be limited by memory, nonlinear convergence, contact complexity, and the cost of explicit time marching.
With HPC for FEA, you can:
- Run larger assemblies and higher-resolution meshes.
- Improve nonlinear solve performance with more CPU and sufficient RAM headroom.
- Accelerate explicit dynamics (e.g., LS-DYNA crash/impact) with high core counts and fast I/O.
- Scale parametric studies (material sensitivity, geometry variants, load cases) without waiting days per run.
CPU vs GPU: What Do You Actually Need?
Most classic CFD/FEA solvers are primarily CPU + RAM driven. However, GPUs can be extremely valuable for:
- AI/ML training and inference for engineering workflows (surrogate models, optimization, data-driven pipelines)
- 3D rendering and visualization
- Specific solver features or workflows that support GPU acceleration (depends on software/version and setup)
If you’re unsure, that’s normal. Tell us your software, solver type, and model size—we’ll recommend the most cost-effective CPU/RAM/GPU configuration.
Supported Engineering Software for HPC Rental
Our HPC systems are suitable for a wide range of simulation and engineering workloads, including:
- ANSYS Fluent (CFD), ANSYS Mechanical (FEA)
- Abaqus (Standard / Explicit)
- OpenFOAM (CFD)
- COMSOL Multiphysics
- LS-DYNA
- OpenSees (structural dynamics / earthquake engineering)
- Python/MATLAB workflows, scripting, automation, post-processing
- AI/ML tools (GPU servers for deep learning where needed)
Note: We provide the computing infrastructure. In most cases, you use your own software license (BYOL).
If you want guidance on setup (Windows/Linux environment, remote access, file transfer, and best practices), contact us and we’ll help.
How Much RAM Do You Need for CFD / FEA?
Memory depends on mesh size/elements, physics, solver settings, and what you store in memory during the run. As a practical rule:
- Small models: 16–32 GB may work
- Medium models: 64–128 GB is common
- Large / industrial models: 256 GB, 512 GB, or more may be required
The fastest way to choose correctly is to share your approximate cell/element count and solver type. We’ll recommend a stable, efficient setup.
How to Choose the Right HPC Configuration
For the best performance per cost, HPC isn’t “more cores only.” It’s about balance:
- CPU cores: helps parallel performance—up to your solver’s efficient scaling limit.
- RAM capacity: prevents slowdowns and “out of memory” issues. Keep headroom.
- Storage: fast NVMe improves loading, checkpointing, and large result writes.
- GPU: ideal for AI/ML and compatible GPU-accelerated workflows.
Performance Tips (Simple, Real-World Improvements)
- Don’t run at 100% RAM usage: swapping destroys performance. Choose enough memory.
- Control output size: save only needed fields/frequency to reduce I/O bottlenecks.
- Use the right core count: doubling cores doesn’t always halve runtime—find the sweet spot.
- Batch your studies: run parametric cases in parallel across different nodes/time slots.
- Use automation: scripts for meshing, solving, post-processing can multiply productivity.
HPC Cloud vs Workstation: What Changes?
A workstation is great for light work and quick tests, but it becomes a bottleneck when you push real engineering detail.
HPC cloud lets you scale up instantly—more cores, more RAM, faster disks—without buying new hardware.
This is especially valuable when you need maximum performance for a limited project window.
How Our HPC Rental Works (Fast & Simple)
- Tell us your needs: software, model size, and target runtime. (Or just tell us your goal.)
- We recommend the best configuration: CPU/RAM/storage (and GPU if needed).
- Start computing: you receive access and can run via Remote Desktop or SSH.