Flow360 vs. Ansys Fluent vs. Simcenter STAR-CCM+: Which CFD Platform Fits Your Engineering Workflow?

For years, CFD software comparisons were mostly about solver capability, physics coverage, meshing and accuracy.

That is no longer enough.

Today, engineers also have to consider:

• GPU acceleration
• Cloud execution
• design-space exploration
• automation
• AI-assisted workflows
• solver throughput
• hardware costs
• licensing complexity
• how much engineering work gets done per day

That makes Flexcompute Flow360, Ansys Fluent and Siemens Simcenter STAR-CCM+ an unusually interesting comparison.

All three can solve serious industrial CFD problems.

But they come from very different histories.

Ansys Fluent is one of the most established and widely used CFD platforms in engineering.

Simcenter STAR-CCM+ is a broad, integrated multiphysics CFD environment with strong automation and design-exploration capabilities.

Flow360 is the challenger: a cloud-native, GPU-native CFD platform built around high simulation throughput and large-scale design exploration.

So which one should you evaluate?

The answer depends less on which product is “best” and more on what is currently limiting your CFD workflow.

Flow360 vs. Fluent vs. STAR-CCM+ at a Glance

	Flexcompute Flow360	Ansys Fluent	Simcenter STAR-CCM+
Primary identity	GPU-native high-performance CFD	Broad, mature CFD platform	Integrated multiphysics CFD platform
GPU strategy	GPU-native architecture	Native GPU solver alongside established CPU workflows	GPU and CPU scalable solvers, expanding GPU-native capabilities
Deployment	Cloud-native	Desktop, HPC and cloud	Desktop, HPC and cloud
Browser access	Yes	Web interface available	Primarily integrated STAR-CCM+ environment
Python/API automation	Strong	Strong automation/scripting ecosystem	Strong workflow automation and Java/API ecosystem
Meshing	Integrated automated meshing plus external mesh workflows	Extensive meshing ecosystem	Strong automated integrated meshing
Multiphysics breadth	Focused CFD, thermal, acoustics and related physics	Very broad	Very broad
Design exploration	Strong emphasis on large simulation campaigns	Available through Ansys ecosystem	Deeply embedded design exploration
Evaluation access	Two-week professional evaluation	Trial/evaluation options vary	Evaluation/trial availability varies by Siemens offer
Best fit	Teams where CFD throughput is the bottleneck	Teams needing broad physics, maturity and ecosystem	Teams needing integrated CFD, multiphysics and workflow automation

The biggest mistake would be assuming that this is simply new solver vs. old solvers.

Both Fluent and STAR-CCM+ now have substantial GPU capabilities of their own. Ansys describes Fluent’s solver as a native GPU-powered solver, and Siemens continues expanding GPU-native physics inside STAR-CCM+.

The differences are therefore increasingly about architecture, breadth and workflow philosophy, not simply whether GPUs are supported.

What Is Flexcompute Flow360?

Flow360 is Flexcompute’s high-performance CFD platform.

Flexcompute designed Flow360 around GPU computing and cloud execution from the beginning. The company positions the product particularly around large, computationally demanding CFD workloads and engineering teams that need to run many simulations.

Current Flow360 capabilities include:

• compressible Navier-Stokes simulation
• RANS and URANS
• scale-resolving methods including DDES and ZDES
• conjugate heat transfer
• transition modeling
• rotor and propeller modeling
• aeroacoustics
• automated meshing
• browser-based simulation setup
• Python API automation
• multi-GPU scaling

Flexcompute lists aerospace, automotive, eVTOL, drones, hydrodynamics, thermal management, aeroacoustics, wind energy and supersonic applications among Flow360’s target areas.

The company’s headline claim is that Flow360 can be up to 100× faster than traditional CFD tools for some workloads. That is a vendor claim, not a universal performance guarantee, and it is precisely the kind of claim engineers should benchmark using their own models.

Where Flow360 Is Most Different

Flow360’s strongest argument isn’t simply:

We solve CFD faster.

It is:

What could you do if you could afford to run dramatically more CFD?

That matters for:

• aerodynamic database generation
• parameter sweeps
• optimization
• sensitivity studies
• configuration studies
• large transient models
• design-space exploration

If your CFD team regularly says, “We would simulate more variants if we had time,” Flow360 deserves attention.

What Is Ansys Fluent?

Ansys Fluent is one of the best-established commercial CFD platforms in engineering.

It supports a very broad range of fluid-flow applications and is deeply integrated into the wider Ansys simulation ecosystem.

Fluent covers areas including:

• external and internal aerodynamics
• heat transfer
• combustion
• multiphase flow
• reacting flows
• turbulence
• particles
• electrochemistry
• battery thermal problems
• fluid-structure workflows
• rotating machinery

Ansys continues to expand Fluent’s native GPU solver. In 2026 R1, GPU support expanded into areas including volume-of-fluid with energy, battery thermal abuse, conjugate heat transfer and additional combustion capabilities.

Ansys also supports GPU execution through Ansys Cloud for appropriate Fluent workloads.

Fluent’s Biggest Advantage: Breadth and Maturity

Fluent has been used across industries for decades.

That gives it advantages that are difficult for a younger CFD platform to reproduce quickly:

• broad physics coverage
• mature numerical methods
• enormous installed base
• experienced CFD engineers already familiar with it
• extensive training material
• academic exposure
• validation history
• integration with the wider Ansys simulation portfolio

If you encounter an unusual CFD problem, the odds that someone has already solved something similar using Fluent are fairly high.

That ecosystem matters.

But Fluent’s GPU Story Has an Important Qualification

Ansys now has a genuine native GPU solver.

However, not every CPU-based Fluent capability is supported by the GPU solver yet.

Ansys explicitly tells users to check supported features and limitations before selecting GPU execution.

That makes the evaluation question more nuanced than:

Does Fluent support GPUs?

It clearly does.

The better question is:

Does the physics in our particular Fluent workflow run efficiently on the GPU solver?

For many increasingly common applications, the answer may be yes.

For others, CPU Fluent may still be necessary.

What Is Simcenter STAR-CCM+?

Simcenter STAR-CCM+ is Siemens’ integrated multiphysics CFD platform.

Its defining characteristic is the extent to which the CFD workflow is contained inside one environment.

Siemens describes STAR-CCM+ as integrating:

• geometry preparation
• meshing
• physics
• solution
• post-processing
• visualization
• automation
• design exploration

within a unified platform.

Its physics extend substantially beyond basic fluid flow and heat transfer to include:

• multiphase flow
• particle dynamics
• reacting flow
• fluid-structure interaction
• aeroacoustics
• rheology
• electrodynamics
• thermal analysis

That breadth is one reason STAR-CCM+ has become particularly prominent in automotive, aerospace, marine, energy and turbomachinery applications.

STAR-CCM+’s Strength: Workflow Integration

The argument for STAR-CCM+ has historically been less:

We have this one CFD solver.

and more:

We can automate the entire simulation process.

STAR-CCM+ has long emphasized automated meshing, reusable simulation templates and embedded design exploration.

That becomes particularly important when engineering organizations want to move CFD away from individual expert-created cases and toward repeatable engineering processes.

All Three Now Care About GPUs

This is where the comparison gets much more interesting than it would have been a few years ago.

Flow360’s entire identity is built around GPU-native CFD.

But Fluent and STAR-CCM+ have both moved aggressively toward GPU computing.

Flow360

Flow360 is GPU-native by design and runs through Flexcompute’s cloud infrastructure. It can scale workloads across large numbers of GPUs.

Fluent

Ansys now calls its Fluent GPU solver a native GPU-powered solver. It supports single- and multi-GPU execution, with ongoing expansion of the supported physics.

STAR-CCM+

Siemens supports scalable CPU, GPU and ARM execution in STAR-CCM+, and recent releases have continued expanding GPU-native physics.

STAR-CCM+ 2602 added GPU-native support for Volume of Fluid and Mixture Multiphase models along with improved multi-GPU scaling.

STAR-CCM+ 2606 continued expanding GPU acceleration into combustion and liquid-fuel-injection workflows.

So it is increasingly inaccurate to frame the market as:

Flow360 = GPU
Fluent/STAR-CCM+ = CPU

The real distinction is closer to:

Flow360 = platform architected around GPU/cloud throughput from inception

versus

Fluent and STAR-CCM+ = very broad established CFD environments increasingly moving more physics onto GPU-native execution.

Which Is Fastest?

This is probably the question everyone wants answered.

It is also the one we would be most reluctant to answer without your actual simulation.

Flexcompute advertises Flow360 performance of up to 100× faster than traditional CFD tools.

Ansys has published Fluent GPU performance improvements relative to CPU execution, and Siemens has published substantial GPU speedups for specific STAR-CCM+ workloads.

But vendor benchmarks are not interchangeable.

Performance depends on:

• mesh size
• solver settings
• turbulence model
• steady vs. transient analysis
• multiphase physics
• combustion
• convergence criteria
• GPU hardware
• number of GPUs
• CPU hardware
• parallel scaling
• numerical precision

A 100-million-cell external-aerodynamics RANS simulation may produce a completely different ranking from a combustion or multiphase case.

So the EST answer is:

Do not choose among Flow360, Fluent and STAR-CCM+ based on somebody else’s benchmark.

Run your own.

Which Has the Broadest Physics?

Here, the established platforms have the advantage.

Fluent and STAR-CCM+ both offer broader physics coverage than Flow360 today.

STAR-CCM+ explicitly positions itself as a multiphysics CFD platform extending beyond fluid flow and heat transfer into particles, reacting flows, FSI, aeroacoustics and electrodynamics.

Fluent similarly sits inside a very broad Ansys physics ecosystem.

Flow360’s physics coverage is expanding, but its value proposition remains more focused around high-performance fluid, thermal and acoustic simulation.

That doesn’t automatically make broader better.

If your engineering problem is external aerodynamics, rotorcraft CFD or aerodynamic design exploration, you may not care that another platform contains physics you never use.

But if your workflows regularly cross several physical disciplines, breadth becomes much more important.

Which Is Best for Aerospace CFD?

This is probably Flow360’s strongest competitive territory.

Flow360 has a very visible focus on:

• aircraft aerodynamics
• eVTOL
• drones
• rotors
• propellers
• aeroacoustics
• supersonics

and Flexcompute publishes validation cases against experimental data and established reference solutions, including aerospace benchmark cases.

That makes Flow360 especially interesting for organizations running large aerodynamic simulation campaigns.

But Fluent and STAR-CCM+ both have enormous aerospace histories.

If you need broader coupled physics or already have heavily established Ansys or Siemens workflows, switching purely for CFD speed may or may not make sense.

For aerodynamic throughput specifically, however, Flow360 is absolutely worth benchmarking against them.

Which Is Best for Automotive CFD?

This is a much tighter competition.

STAR-CCM+ has a particularly strong position in automotive engineering because its integrated workflow lends itself well to:

• external aerodynamics
• thermal management
• underhood flow
• HVAC
• battery cooling
• water management
• multiphase problems
• vehicle design exploration

Siemens also continues developing AI-driven surrogate-model capabilities in STAR-CCM+ for rapidly evaluating vehicle design variants.

Fluent similarly supports broad automotive CFD and thermal workflows.

Flow360 specifically lists automotive aerodynamics among its target applications and now publishes automotive validation material as well.

For a team primarily concerned with large-scale external aerodynamic exploration, Flow360 may be particularly compelling.

For a team trying to handle everything from aerodynamics to battery thermal management and multiphase water behavior, STAR-CCM+ or Fluent may provide more breadth in one environment.

Which Is Best for Multiphysics?

I’d give the advantage to STAR-CCM+ and Fluent.

STAR-CCM+ was intentionally developed around integrated multiphysics CFD and Siemens continues to make that a central part of its positioning.

Fluent benefits from being part of the larger Ansys physics environment.

Flow360 now includes conjugate heat transfer, acoustics and other coupled capabilities, but it isn’t currently trying to duplicate the entire multiphysics breadth of those established platforms.

Which Is Best for Automation?

All three can be strong, but they approach automation somewhat differently.

Flow360

Flow360 provides a Python API designed for:

• batch simulation
• parameter sweeps
• case setup
• automated post-processing
• optimization pipelines

Its cloud architecture makes large automated simulation campaigns an obvious use case.

STAR-CCM+

Automation is one of STAR-CCM+’s traditional strengths.

Reusable simulation workflows, automated meshing and embedded design exploration allow organizations to standardize CFD processes.

Fluent

Fluent has mature scripting and automation capabilities and benefits from integration with the broader Ansys ecosystem.

If your engineers are heavily Python-oriented, Flow360’s API-first approach may feel particularly natural.

If the goal is building highly standardized integrated CAE processes, STAR-CCM+ remains extremely strong.

What About Meshing?

This comparison has recently become more interesting because Flow360 now includes an integrated automated meshing workflow.

Flexcompute describes its current Flow360 workflow as covering geometry and automated high-quality mesh generation through solver execution and post-processing.

That is different from the limited impression someone might get from Flow360’s current two-week evaluation, which specifically asks participants to bring an existing Pointwise mesh. The evaluation requirement should not be confused with the full platform’s overall meshing capability.

Fluent has extensive meshing tools available within the Ansys ecosystem.

STAR-CCM+ has long made automated meshing a major part of its integrated CFD workflow.

So this is another area where you should evaluate actual model-preparation time rather than checking a box labeled “has meshing.”

Which Is Easier to Deploy?

Flow360 has a clear philosophical advantage here.

It is cloud-native and browser accessible, so organizations don’t need to install the solver locally or provision their own GPU cluster.

Fluent and STAR-CCM+ support much more flexible combinations of local workstations, HPC infrastructure and cloud computing.

That flexibility can itself be an advantage for large enterprises.

Some organizations cannot send certain models to an external cloud because of:

• ITAR
• export controls
• defense requirements
• customer contracts
• proprietary IP restrictions
• internal cybersecurity policy

For those organizations, deployment architecture may matter as much as solver performance.

Does Flow360 Replace Fluent or STAR-CCM+?

Possibly for some workloads.

But I wouldn’t approach an evaluation assuming that has to be the outcome.

A large engineering organization could quite reasonably use:

STAR-CCM+ for broad multiphysics workflows

while also using

Flow360 for large aerodynamic simulation campaigns.

Or:

Fluent for established combustion and complex physics workflows

while using

Flow360 for external aerodynamics and rapid design exploration.

Engineering software doesn’t always have to be winner-take-all.

The business question is whether the productivity gain from a specialized solver justifies adding another platform.

Flow360’s Biggest Opportunity

The strongest case for Flow360 is probably an organization where engineers already trust CFD but simply cannot run as much of it as they want.

Consider a team where:

• simulation queues are constantly full
• aircraft configurations take hours or days
• parameter studies are intentionally limited
• wind-tunnel testing is still being used because CFD turnaround is too slow
• aerodynamic database generation takes too long
• engineers choose which variants not to simulate

That is precisely where Flow360’s architecture becomes interesting.

The competitive argument is not:

Flow360 contains more CFD features than Fluent or STAR-CCM+.

It doesn’t.

The argument is:

What if the constraint isn’t physics capability anymore? What if the constraint is throughput?

Fluent’s Biggest Advantage

Fluent’s strongest advantage is probably institutional maturity.

For many organizations:

• engineers already know it
• simulation methods have already been validated
• automation already exists
• customer processes already reference Fluent
• decades of internal knowledge already exist
• other Ansys physics tools are already deployed

Replacing all of that has a cost that rarely appears in benchmark charts.

Fluent also isn’t standing still on GPU computing. Its native GPU solver continues expanding into more physics with each release.

STAR-CCM+’s Biggest Advantage

STAR-CCM+’s strongest advantage is probably end-to-end CFD workflow integration.

Siemens has spent years trying to remove friction between:

geometry → mesh → physics → solution → post-processing → design exploration

while allowing engineers to automate those workflows.

For complex industrial CFD teams, that can be enormously valuable.

STAR-CCM+ also increasingly combines this automation with GPU acceleration and AI-based surrogate modeling, meaning its strategy is moving toward some of the same design-space-exploration territory that makes Flow360 interesting.

The Most Interesting Competitive Battle May Be Just Beginning

This is what makes this comparison worth revisiting.

Flow360 has helped demonstrate a different expectation for CFD:

simulation throughput should be dramatically higher.

But Ansys and Siemens are responding.

Fluent’s native GPU solver keeps absorbing more physics.

STAR-CCM+ is steadily moving additional models onto GPU-native execution.

Meanwhile Flow360 is adding broader physics, automated meshing, optimization and AI-assisted engineering.

That means these platforms may gradually become more alike in capability even though they started from very different places.

And that is good for CFD engineers.

Competition around simulation throughput ultimately means:

more simulations, more design exploration and less time waiting for answers.

What Should You Test in a Three-Way CFD Evaluation?

If you genuinely have access to all three, don’t start with three different vendor demonstrations.

Pick one model.

Preferably use something:

• representative of your production workload
• already validated
• computationally painful
• large enough to expose performance differences
• important enough that faster turnaround would matter

Then measure the same things.

Accuracy

Compare:

• lift and drag
• pressure distributions
• temperatures
• pressure drop
• flow separation
• forces and moments
• experimental correlation

Total Time to Result

Measure:

• geometry preparation
• meshing
• setup
• solver runtime
• convergence
• post-processing

Do not measure only solver runtime.

Throughput

Then ask:

How many complete engineering cases can we run in 24 hours?

This may produce a very different winner.

Engineering Effort

How much specialist intervention is needed?

Can the workflow be automated?

Can a less experienced engineer reuse it safely?

Cost

Compare the cost of answering an engineering question, including:

• licenses
• cloud compute
• HPC infrastructure
• engineering labor
• simulation queue delays

Scalability

Run one large model.

Then run several models simultaneously.

This is particularly important if design-space exploration is the real objective.

Which CFD Software Should You Choose?

There is no universal winner.

Choose Flow360 if:

Your primary problem is simulation throughput, particularly for large aerodynamic and CFD design-space workloads.

It is especially worth investigating for aerospace, eVTOL, automotive aerodynamics, rotors, propellers and other workflows where you want to run substantially more simulations.

Choose Ansys Fluent if:

You need broad, mature CFD capability, extensive industry adoption and tight integration with an established Ansys simulation environment.

It is particularly attractive when your CFD problems span numerous physical models and your organization already has significant Fluent expertise.

Choose Simcenter STAR-CCM+ if:

You need deeply integrated multiphysics CFD, automated meshing and repeatable simulation workflows, particularly when design exploration is already embedded in your engineering process.

It remains particularly compelling in automotive, aerospace, marine, energy and other industries where complex multiphysics CFD is routine.

And if you’re not sure?

Try them.

That’s not a dodge.

It is exactly why engineering-software evaluation matters.

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EST Verdict

If we were evaluating these three platforms, we would not ask:

Which is the best CFD software?

We would ask:

What is stopping this particular engineering organization from doing more useful CFD?

If the answer is solver throughput, Flow360 may be the most disruptive option in this comparison.

If the answer is physics breadth and institutional maturity, Fluent remains extremely difficult to dismiss.

If the answer is workflow integration, automation and multiphysics design exploration, STAR-CCM+ remains exceptionally strong.

And because both Ansys and Siemens are now aggressively expanding GPU-native capabilities, Flow360’s long-term impact may be larger than whether it wins any individual software evaluation.

It is helping move the CFD market toward a much more demanding expectation:

Engineers shouldn’t merely be able to simulate a design. They should be able to simulate enough designs to make a better decision.

That is a competition worth watching.

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Try the Software

Flexcompute Flow360

Flexcompute currently offers professional engineering teams a two-week Flow360 evaluation with unlimited RANS simulations up to 600 million mesh nodes, using an existing Pointwise mesh.

Internal link:
Flexcompute Flow360 CFD Evaluation: Try GPU-Native CFD for Two Weeks

Ansys Fluent

Ansys provides trial/evaluation access through its current Fluent and Ansys evaluation programs; availability and licensing can vary by product and region.

Simcenter STAR-CCM+

Siemens provides evaluation access for selected Simcenter products and configurations; check the current STAR-CCM+ availability for your region and intended workflow.