The Best Ansys License Add-Ons of 2026

1. Ansys High Performance Computing

High-Performance Computing (HPC) is the most impactful add-on for engineers running large, high-accuracy, or time-dependent simulations. These licenses expand the computational limits of Ansys solvers, enabling large-scale parallelization across CPU cores, GPUs, or mixed heterogeneous hardware. The additional compute capacity significantly shortens solve time and increases the total number of simulations teams can complete per day.

When choosing HPC add-ons, engineers typically compare HPC Packs versus standard HPC increments. The best option depends on core count, job size, hardware availability, and workflow structure.

Ansys HPC Increments

Ansys HPC increments unlock core-by-core expansion beyond the solver’s base core allowance (typically 4 cores). This granular model gives engineering teams precise control over how much compute capacity each job consumes.

Best For: Teams with moderate compute needs and variable job sizes that require granular cost control.

HPC Pros

• Intricate scaling: Add one core at a time for cost-optimized workflows.
• Ideal for mid-sized jobs: Efficient when simulations use between ~8–32 cores.
• Enables GPU usage: Works with GPU offload solvers for EM, CFD, and structural analysis.

HPC Cons

• Less cost-efficient at higher core counts: Packs become better above ~32–64 cores.
• More license administration: Requires correct allocation planning for large jobs.

HPC Uses and Applications

• Running medium-sized CFD or structural simulations where runtime improves steadily with linear core scaling.
• Supporting parametric sweep workloads with moderate concurrency.
• Enabling GPU-accelerated solvers in Fluent, HFSS, or Mechanical.

Ansys HPC Packs

HPC Packs scale simulations in large blocks, dramatically boosting core/GPU capacity with fewer license increments. One Pack multiplies the available core count substantially, making it the fastest way to unlock high-performance parallel computing.

Best For: Teams deploying high-fidelity, large-scale simulations or requiring large-batch parallelization.

HPC Pack Pros

• Massive scalability: One Pack unlocks ~18–36 additional cores/GCUs depending on version.
• Best ROI at high core counts: Costs scale more efficiently than individual increments.
• Enables concurrent parametric design points: Run multiple variants using only one solver license.

HPC Pack Cons

• Cannot be split between jobs: One Pack applies to a single simulation at a time.
• High performance requires HPC-capable hardware: Real gains depend on CPU/GPU infrastructure.

HPC Pack Uses and Applications

• Running large CFD models (turbulence, combustion, transient multiphase).
• Solving large HFSS simulations, phased array antennas, or multilayer PCB models.
• Executing massive parametric sweeps or optimization studies in parallel.
• Conducting system-level multiphysics where each physics domain demands heavy computation.

2. Ansys HPC Workgroup

Ansys HPC Workgroup provides an alternative scaling model designed for multi-user engineering teams managing shared computational resources. Instead of core multipliers, Workgroup licenses allocate single-core increments that multiple users can draw from simultaneously.

An HPC Workgroup pool allows organizations to optimize cost and throughput across multiple projects without dedicating large resources to one job at a time.

Best For: Engineering organizations with collaborative simulation environments or multi-solver workflows.

HPC Workgroup Pros

• Highly flexible: Users across a group pull cores from the same pool.
• Excellent for multi-engineer environments: Ideal for shared HPC clusters.
• Compatible with GPU acceleration: Each license increment can unlock additional GPU SMs or CUs.

HPC Workgroup Cons

• Less cost-efficient for extremely large jobs: HPC Packs perform better above ~64 cores.
• Shared environment requires workload management: Requires job scheduling discipline.

HPC Workgroup Uses and Applications

• Supporting multiple engineers running parallel simulations simultaneously.
• Enabling distributed simulation workloads across clusters or HPC farms.
• Supplementing Packs to fill gaps in core count or GPU SM allocation.

3. Parametric Optimization and Design-Study Add-On

The Parametric Analysis and Optimization license enables automated design exploration, optimization loops, and sensitivity studies across Ansys Workbench and solver-native parametric tools. Instead of performing single-point simulations, engineers can evaluate hundreds of design variations in structured or AI-driven workflows.

The add-on supports DOE methods, multi-objective optimization, surrogate modeling, and Six Sigma analysis. It provides a powerful approach to accelerate product development and reduce prototyping.

Best For: Engineering teams doing frequent design iteration, optimization, or multi-physics tradeoff studies.

Parametric Pros

• Automates variation studies and eliminates manual model adjustments.
• Reveals behavior trends quickly using fewer physical prototypes.
• Integrates seamlessly with HPC for concurrent evaluation of design points.

Parametric Cons

• Requires thoughtful parameterization: Poor parameter choices limit insights.
• Compute-intensive without HPC: Large design spaces require significant parallel resources.

Parametric Uses and Applications

• Optimizing geometry, boundary conditions, or material parameters.
• Performing DOE and multi-objective optimization for aerospace, automotive, RF, and structural components.
• Conducting tolerance studies and robustness analysis for Six Sigma manufacturing workflows.

4. Ansys Elastic (AEC) Licensing

Ansys Elastic Currency (AEC) offers a pay-per-use licensing model ideal for companies with variable simulation workloads or limited access to specific solver products. Instead of purchasing a full license, teams consume tokens (AEC units) hourly across any solver, HPC module, or pre/post tool.
This model delivers extreme flexibility, especially for organizations scaling temporary workloads, accessing premium solvers, or augmenting on-prem compute with Ansys Cloud.

Best For: Organizations with fluctuating workloads, mixed solver needs, or cloud-heavy simulation strategies.

AEC Pros

• On-demand access: Activate any Ansys product without owning it.
• Scales instantly: Consume more AECs during peak workloads.
• Perfect for hybrid cloud workflows: Access Cloud HPC and solvers dynamically.

AEC Cons

• Not ideal for constant use: Annual licenses remain more cost-effective for daily solvers.
• Usage must be monitored: Token burn rate depends on solver type and model size.

AEC Uses and Applications

• Handling peak project demands during high simulation throughput periods.
• Running specialized solvers (like LS-DYNA, Lumerical, Speos, Rocky DEM) without purchasing a full license.
• Enabling cloud-based HPC scaling for large CFD/EM workloads.

5. GPU and Heterogeneous Hardware Support

Modern Ansys solvers increasingly leverage GPUs and heterogeneous compute architectures to reduce runtimes dramatically. GPU-native solvers — especially in Fluent, Mechanical, and HFSS — have shown order-of-magnitude performance improvements on NVIDIA A100/H100 hardware.
GPU and heterogeneous support enables solvers to offload matrix operations, FDTD calculations, sparse linear algebra, turbulence models, and frequency-domain solves.

Best For: Engineering teams with modern GPU hardware seeking maximum speed per dollar in large-scale simulation.

GPU Support Pros

• Massive speedups: 5×–30× performance gains depending on solver and model.
• Reduced memory footprint: GPU solvers often require less RAM than CPU equivalents.
• Lower total compute cost: Faster convergence reduces HPC resource consumption.

GPU Support Cons

• Hardware-dependent: Requires professional-grade GPUs (A100, RTX 6000 Ada, H100, etc.).
• Not all solvers fully GPU-native: Some use hybrid CPU/GPU acceleration.

GPU Support Uses and Applications

• Running GPU-native Fluent CFD with full pressure-based, density-based, and turbulence models.
• Accelerating HFSS frequency-domain and eigenmode solvers using GPU offload.
• Performing nonlinear structural analyses or topology optimization with GPU-accelerated Mechanical.

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Selecting the right Ansys add-on licenses directly impacts simulation performance, throughput, and cost efficiency. Whether scaling CPU/GPU compute with HPC Packs, running automated design studies, or unlocking on-demand cloud access with AEC, each add-on serves a specific role in optimizing an engineering organization’s workflow.

For teams running high-fidelity CFD, RF, mechanical, or multiphysics workloads, these add-ons can reduce solve time by 10× or more, enabling faster iteration and more robust product validation.

Want to try one of these add-ons with your Ansys solver license? Request a free demo or trial now →