Ansys simulation requires high-performance hardware for CFD, FEA, and multi physics workflows. Custom workstations ensure speed, reliability, and scalability.
Ansys Workstation – Recommended Specs & Overview
Ansys is one of the most demanding simulation platforms in use today.
Whether you are running computational fluid dynamics in Fluent, structural analysis in Mechanical, electromagnetic simulations in HFSS, or real-time physics in Discovery, the software places significant and sustained demands on every component of your workstation. Getting the hardware right is not simply about raw performance — it is about stability, accuracy, and ensuring that your compute resources align with how your Ansys licences are structured.
This guide covers the key hardware considerations for building or specifying an Ansys workstation in 2025.
Understanding Ansys Licensing Before You Spec Your Hardware
One of the most important and frequently overlooked aspects of configuring an Ansys workstation is understanding how licensing affects what your hardware can actually do. By default, Ansys restricts solver usage to a limited number of CPU cores — commonly around four logical cores. Scaling beyond that requires HPC (High Performance Computing) packs, which are purchased separately and unlock additional parallel processing capability.
GPU acceleration follows a similar logic. Solvers such as Fluent, LS-DYNA, and Discovery support GPU offloading, but this may also be subject to licence conditions. In some configurations, GPUs are treated as additional solver resources and require HPC or GPU-specific licence extensions to be fully utilised. Not every solver within the Ansys suite supports GPU acceleration, and requirements vary depending on the version, solver, and licence type in use.
Before finalising a workstation specification, it is worth consulting your Ansys reseller or account manager to ensure your hardware investment is matched by the appropriate licences.
A high-core-count CPU will not deliver its full value without the HPC packs to unlock it.
CPU: Balancing Core Count, Clock Speed, and Workstation-Grade Reliability
The CPU is the primary compute resource for most Ansys workflows.
Most solvers — including Mechanical, Fluent, and HFSS — are designed for parallel processing, meaning they can distribute work across multiple cores simultaneously.
In practice, this makes core count one of the most important factors in reducing solve times, provided your licensing allows it.
That said, per-core performance and cache size remain relevant.
Pre- and post-processing tasks, geometry manipulation, and some solver operations are more single-threaded in nature, meaning raw clock speed still contributes meaningfully to overall workflow responsiveness.
For most professional Ansys workloads, we recommend the following processors:
Both platforms are designed for sustained computational workloads and support the large memory configurations that complex simulations demand.
Dual CPU and Server-Class Systems
For users running large-scale CFD, electromagnetic, or multiphysics simulations — particularly those with extensive HPC pack licensing — dual-CPU configurations offer a significant step up in capability. Platforms based on dual AMD EPYC™ or dual Intel® Xeon® Scalable processors can support up to 192 physical cores and extremely large memory configurations.
These systems are more commonly found in enterprise and academic research environments, but they represent a natural progression for teams whose simulation workloads have outgrown single-socket workstations.
GPU: Accelerated Solving and When It Matters
GPU acceleration in Ansys has matured considerably over recent years. Fluent, LS-DYNA, and Discovery are among the solvers that can leverage CUDA-enabled GPUs to offload computation, in some cases delivering dramatic reductions in solve time compared with CPU-only configurations.
For GPU-accelerated workflows, professional-grade NVIDIA GPUs are strongly recommended. Consumer GPUs may function in some scenarios, but they lack certified driver support for Ansys — which becomes a significant issue if you encounter software problems and require vendor support. Professional GPUs also provide ECC memory, which corrects bit-level errors during computation, and strong FP64 (double-precision floating point) performance, which is essential for the numerical accuracy that engineering simulations require.
Recommended GPUs for Ansys GPU-accelerated workflows include:
For workflows that rely entirely on CPU-based solving and use the GPU only for display and viewport rendering, an entry-level option such as the NVIDIA RTX™ A400 or A2000 is perfectly adequate. In these cases, spending significantly on GPU hardware offers little return.
Memory: Capacity, Channels, and ECC
Memory is one of the most critical hardware considerations for Ansys. Large assemblies, fine meshes, multiphysics simulations, and transient analyses all consume substantial amounts of RAM. Running out of memory during a solve forces the system to use disk-based virtual memory — a process known as paging — which dramatically slows performance and can cause simulations to fail entirely.
A common guideline is to allocate between 4 GB and 6 GB of RAM per physical CPU core, particularly for Ansys Mechanical and Fluent. For a 32-core workstation, this translates to a minimum of 128 GB, with 256 GB or more advisable for demanding workloads.
Recommended memory configurations:
- 64 GB — Suitable for smaller models and moderate simulation complexity
- 128 GB — Recommended for most professional workflows
- 256 GB – 512 GB+ — For large-scale transient, multiphysics, or high-mesh-density simulations
Memory channel configuration also plays an important role. Modern workstation CPUs support quad- or eight-channel memory architectures, and making full use of all available channels significantly improves memory bandwidth. Where possible, populate all memory channels with matched DIMMs rather than using fewer, higher-capacity modules. ECC (Error Correction Code) memory is strongly recommended — it detects and corrects single-bit memory errors in real time, maintaining the integrity of long-running simulations.
Storage: Keeping Up With High-Throughput Simulation Data
Ansys generates and processes substantial volumes of data throughout the simulation pipeline. Meshing, model import and export, solver scratch files, and post-processing output all place demands on storage throughput. Slow storage can create bottlenecks that extend overall job times even when the CPU and GPU are performing well.
The recommended storage strategy for an Ansys workstation is to separate active simulation data from long-term storage:
- Primary NVMe SSD (PCIe Gen 4 or Gen 5, 1 TB+) — For the operating system, Ansys installation, and active project files. Target read/write speeds exceeding 5,000 MB/s. Gen 5 drives are now widely available and offer the highest throughput for scratch-intensive workflows.
- Secondary NVMe or SATA SSD — A dedicated volume for active simulation files, isolated from the OS. This prevents I/O contention during heavy solve operations.
- HDD or large-capacity SSD — For completed projects, archived results, and reference data where access speed is less critical.
- NAS (Network Attached Storage) — For team environments where simulation data needs to be shared across multiple workstations or backed up centrally.
For studios or teams running network-distributed solving across multiple machines, a 10 GbE network connection is advisable to efficiently move large scene and results files between nodes.
Mobile Workstations for Ansys
Field engineers, consultants, and researchers who require simulation capability away from a fixed desk have access to a growing range of capable mobile workstations. Modern mobile platforms combine Intel Core™ Ultra processors, NVIDIA RTX™ Professional mobile GPUs, DDR5 memory, and PCIe Gen 4 NVMe storage in compact, durable chassis.
Mobile workstations are well-suited to pre- and post-processing, geometry preparation, and smaller simulation tasks. For the most computationally intensive work — large-scale CFD, high-mesh-density structural analysis, or transient multiphysics — a desktop workstation or server platform will generally outperform a mobile system, both in throughput and thermal sustainability over extended runs.
Recommended Specifications at a Glance
The table below summarises recommended configurations across three performance tiers. These are starting points; final specifications should always be tailored to your specific solvers, model complexity, and licensing arrangement.
Conclusion
Ansys demands more from a workstation than almost any other simulation platform.
The interaction between CPU core count, memory capacity, GPU acceleration, and licensing structure means that specification decisions have compounding effects — getting them right accelerates every stage of your workflow, from meshing and geometry preparation through to post-processing and results review.
Every Ansys workstation we build is individually configured, tested, and optimised for the specific solvers and workflows it will support.
If you are planning a new system or looking to upgrade an existing one, our engineering team is available to guide you through the right configuration for your requirements.
