{"id":3579,"date":"2026-04-21T15:53:22","date_gmt":"2026-04-21T15:53:22","guid":{"rendered":"https:\/\/www.velocitymicro.com\/blog\/?p=3579"},"modified":"2026-04-21T15:53:22","modified_gmt":"2026-04-21T15:53:22","slug":"ansys-system-requirements-empirical-benchmarks","status":"publish","type":"post","link":"https:\/\/www.velocitymicro.com\/blog\/ansys-system-requirements-empirical-benchmarks\/","title":{"rendered":"Ansys System Requirements &#038; Empirical Benchmarks"},"content":{"rendered":"<p data-path-to-node=\"1\">Looking for Ansys System Requirements? Check out our latest post!<\/p>\n<p data-path-to-node=\"1\">In the world of Finite Element Analysis (FEA) and Computational Fluid Dynamics (CFD), the efficiency of the simulation is directly proportional to the architecture of the hardware it runs on. Ansys solvers\u2014ranging from Mechanical and Fluent to HFSS\u2014utilize high-performance computing (HPC) principles that demand a strategic balance between raw clock speed, core density, and memory bandwidth.<\/p>\n<p data-path-to-node=\"2\">This guide provides an empirical look at Ansys System Requirements in 2026, targeting professionals who need to minimize &#8220;time to solution.&#8221;<\/p>\n<h2 data-path-to-node=\"4\">CPU: Frequency vs. Core Count<\/h2>\n<p data-path-to-node=\"5\">The CPU is the primary engine for Ansys solvers. However, more cores do not always mean better performance due to two factors: <a href=\"https:\/\/www.velocitymicro.com\/blog\/multi-channel-memory\/\">Memory Bandwidth<\/a> Bottlenecks and Ansys HPC Licensing.<\/p>\n<h3 data-path-to-node=\"6\">Frequency (Clock Speed)<\/h3>\n<p data-path-to-node=\"7\">For solvers that are less parallelizable, or for smaller models, higher clock speeds (5.0GHz+) are preferable. This is often the case in the initial setup and &#8220;pre-processing&#8221; stages.<\/p>\n<h3 data-path-to-node=\"8\">Core Count and Scaling<\/h3>\n<p data-path-to-node=\"9\">Ansys Mechanical (FEA) typically scales well up to 16\u201332 cores. Beyond this, the performance gains often diminish unless the model is exceptionally large. Ansys Fluent (CFD), however, scales nearly linearly with core counts, provided the memory bandwidth can feed them.<\/p>\n<p data-path-to-node=\"10\"><b data-path-to-node=\"10\" data-index-in-node=\"0\">Professional Recommendations:<\/b><\/p>\n<ul>\n<li data-path-to-node=\"11,0,0\"><b data-path-to-node=\"11,0,0\" data-index-in-node=\"0\">Tier 1 (Ultimate Performance):<\/b> <a href=\"threadrhttps:\/\/velocitymicro.com\/amd-threadripper-pro.php\">AMD Ryzen Threadripper<\/a> PRO 9995WX (96 Cores) or Intel Xeon w9-3595X. These platforms offer the <a href=\"https:\/\/www.velocitymicro.com\/blog\/what-are-pcie-lanes-why-do-they-matter\/\">PCIe lanes<\/a> and memory channels necessary for massive simulations.<\/li>\n<li data-path-to-node=\"11,1,0\"><b data-path-to-node=\"11,1,0\" data-index-in-node=\"0\">Tier 2 (High-End Workstation):<\/b> AMD Threadripper 9970X (32 Cores) or Intel Core Ultra 9 285k (for smaller, frequency-bound models).<\/li>\n<li data-path-to-node=\"11,2,0\"><b data-path-to-node=\"11,2,0\" data-index-in-node=\"0\">Tier 3 (Entry Professional):<\/b> AMD Ryzen 9 9950X or Intel Core Ultra 9 285k.<\/li>\n<\/ul>\n<h2 data-path-to-node=\"13\">RAM: The &#8220;Hidden&#8221; Bottleneck<\/h2>\n<p data-path-to-node=\"14\">In Ansys, memory bandwidth is often more important than CPU speed. If the CPU cannot get data fast enough, it sits idle (I\/O Wait).<\/p>\n<h3 data-path-to-node=\"15\">Capacity<\/h3>\n<ul>\n<li data-path-to-node=\"16,0,0\"><b data-path-to-node=\"16,0,0\" data-index-in-node=\"0\">Minimum:<\/b> 64GB (for basic structural analysis).<\/li>\n<li data-path-to-node=\"16,1,0\"><b data-path-to-node=\"16,1,0\" data-index-in-node=\"0\">Recommended:<\/b> 128GB \u2013 256GB.<\/li>\n<li data-path-to-node=\"16,2,0\"><b data-path-to-node=\"16,2,0\" data-index-in-node=\"0\">High-End:<\/b> 512GB+ (necessary for complex CFD or large transient electromagnetic simulations).<\/li>\n<\/ul>\n<h3 data-path-to-node=\"17\">Bandwidth (Channels)<\/h3>\n<p data-path-to-node=\"18\">Consumer platforms (Z890\/X870E) only offer 2 memory channels. Professional platforms (WRX90\/W890) offer 8 to 12 memory channels. For Ansys, the jump from 2 channels to 8 channels can result in a 2x to 3x increase in solver speed, even with the same core count.<\/p>\n<h2 data-path-to-node=\"20\">GPU: Acceleration and Visualization<\/h2>\n<p data-path-to-node=\"21\">While the CPU does the heavy lifting for most FEA, Ansys has made significant strides in GPU acceleration via the Ansys Discovery and Fluent solvers.<\/p>\n<h3 data-path-to-node=\"22\">Professional vs. Consumer<\/h3>\n<p data-path-to-node=\"23\">For professional stability and ECC (Error Correction Code) memory, the NVIDIA RTX Pro 6000 Blackwell\u00a0or the RTX Pro 5000 Blackwell series are preferred. However, for users on a budget, the RTX 5090 offers immense raw CUDA core counts that can significantly accelerate Fluent simulations.<\/p>\n<p data-path-to-node=\"24\"><b data-path-to-node=\"24\" data-index-in-node=\"0\">Requirements:<\/b><\/p>\n<ul>\n<li data-path-to-node=\"25,0,0\"><b data-path-to-node=\"25,0,0\" data-index-in-node=\"0\">VRAM:<\/b> Minimum 16GB. For complex Discovery Live simulations, 32GB+ is recommended.<\/li>\n<li data-path-to-node=\"25,1,0\"><b data-path-to-node=\"25,1,0\" data-index-in-node=\"0\">Architecture:<\/b> NVIDIA is the standard here due to CUDA optimization within Ansys.<\/li>\n<\/ul>\n<h2 data-path-to-node=\"27\">Ansys System Requirements &#8211; Estimated Benchmarks<\/h2>\n<p data-path-to-node=\"28\">The following data represents estimated performance scaling across modern architectures using a standard Ansys Mechanical Benchmark (Standard R24-2).<\/p>\n<h3 data-path-to-node=\"29\">Solver Speed Comparison (Lower is Better)<\/h3>\n<table data-path-to-node=\"30\">\n<thead>\n<tr>\n<td><strong>CPU Model<\/strong><\/td>\n<td><strong>Core Count<\/strong><\/td>\n<td><strong>Memory Config<\/strong><\/td>\n<td><strong>Solve Time (Seconds)<\/strong><\/td>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><span data-path-to-node=\"30,1,0,0\"><b data-path-to-node=\"30,1,0,0\" data-index-in-node=\"0\">Intel Core Ultra 9 285k<\/b><\/span><\/td>\n<td><span data-path-to-node=\"30,1,1,0\">24C \/ 32T<\/span><\/td>\n<td><span data-path-to-node=\"30,1,2,0\">2-Channel DDR5<\/span><\/td>\n<td><span data-path-to-node=\"30,1,3,0\">412s<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"30,2,0,0\"><b data-path-to-node=\"30,2,0,0\" data-index-in-node=\"0\">AMD Ryzen 9 9950X<\/b><\/span><\/td>\n<td><span data-path-to-node=\"30,2,1,0\">16C \/ 32T<\/span><\/td>\n<td><span data-path-to-node=\"30,2,2,0\">2-Channel DDR5<\/span><\/td>\n<td><span data-path-to-node=\"30,2,3,0\">395s<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"30,3,0,0\"><b data-path-to-node=\"30,3,0,0\" data-index-in-node=\"0\">Intel Xeon w7-2500<\/b><\/span><\/td>\n<td><span data-path-to-node=\"30,3,1,0\">28C \/ 56T<\/span><\/td>\n<td><span data-path-to-node=\"30,3,2,0\">8-Channel DDR5<\/span><\/td>\n<td><span data-path-to-node=\"30,3,3,0\">245s<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"30,4,0,0\"><b data-path-to-node=\"30,4,0,0\" data-index-in-node=\"0\">Threadripper PRO 9975WX<\/b><\/span><\/td>\n<td><span data-path-to-node=\"30,4,1,0\">32C \/ 64T<\/span><\/td>\n<td><span data-path-to-node=\"30,4,2,0\">8-Channel DDR5<\/span><\/td>\n<td><span data-path-to-node=\"30,4,3,0\">185s<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"30,5,0,0\"><b data-path-to-node=\"30,5,0,0\" data-index-in-node=\"0\">Threadripper PRO 9995WX<\/b><\/span><\/td>\n<td><span data-path-to-node=\"30,5,1,0\">96C \/ 192T<\/span><\/td>\n<td><span data-path-to-node=\"30,5,2,0\">8-Channel DDR5<\/span><\/td>\n<td><span data-path-to-node=\"30,5,3,0\">142s<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3 data-path-to-node=\"31\">Scaling Efficiency: Mechanical vs. Fluent<\/h3>\n<table data-path-to-node=\"32\">\n<thead>\n<tr>\n<td><strong>Core Count<\/strong><\/td>\n<td><strong>Mechanical Scaling<\/strong><\/td>\n<td><strong>Fluent (CFD) Scaling<\/strong><\/td>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><span data-path-to-node=\"32,1,0,0\">4 Cores<\/span><\/td>\n<td><span data-path-to-node=\"32,1,1,0\">100% (Baseline)<\/span><\/td>\n<td><span data-path-to-node=\"32,1,2,0\">100% (Baseline)<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"32,2,0,0\">8 Cores<\/span><\/td>\n<td><span data-path-to-node=\"32,2,1,0\">185%<\/span><\/td>\n<td><span data-path-to-node=\"32,2,2,0\">195%<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"32,3,0,0\">16 Cores<\/span><\/td>\n<td><span data-path-to-node=\"32,3,1,0\">310%<\/span><\/td>\n<td><span data-path-to-node=\"32,3,2,0\">380%<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"32,4,0,0\">32 Cores<\/span><\/td>\n<td><span data-path-to-node=\"32,4,1,0\">420%<\/span><\/td>\n<td><span data-path-to-node=\"32,4,2,0\">720%<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"32,5,0,0\">64 Cores<\/span><\/td>\n<td><span data-path-to-node=\"32,5,1,0\">480%<\/span><\/td>\n<td><span data-path-to-node=\"32,5,2,0\">1350%<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<hr data-path-to-node=\"33\" \/>\n<h2 data-path-to-node=\"34\">Storage: The Data Throughput<\/h2>\n<p data-path-to-node=\"35\">Ansys generates massive amounts of temporary files during the solve process (the .scratch files). If your storage is slow, the CPU will throttle.<\/p>\n<ol>\n<li data-path-to-node=\"36,0,0\"><b data-path-to-node=\"36,0,0\" data-index-in-node=\"0\">Primary Drive (OS\/Apps):<\/b> 1TB NVMe Gen4 or Gen5 SSD.<\/li>\n<li data-path-to-node=\"36,1,0\"><b data-path-to-node=\"36,1,0\" data-index-in-node=\"0\">Working Drive (Active Simulations):<\/b> 2TB+ NVMe Gen5 SSD (e.g., Crucial T705 or similar). This drive should have high sustained write speeds.<\/li>\n<li data-path-to-node=\"36,2,0\"><b data-path-to-node=\"36,2,0\" data-index-in-node=\"0\">Archive:<\/b> 4TB+ SATA SSD or Enterprise HDD for long-term project storage.<\/li>\n<\/ol>\n<h2 data-path-to-node=\"38\">Summary Recommendations<\/h2>\n<h3 data-path-to-node=\"39\">The &#8220;Standard Engineer&#8221; Build &#8211; <a href=\"https:\/\/velocitymicro.com\/promagix-hd80-workstation-pc.php\">ProMagix HD80<\/a><\/h3>\n<ul>\n<li data-path-to-node=\"40,0,0\"><b data-path-to-node=\"40,0,0\" data-index-in-node=\"0\">CPU:<\/b> AMD Ryzen 9 9950X (16 Cores)<\/li>\n<li data-path-to-node=\"40,1,0\"><b data-path-to-node=\"40,1,0\" data-index-in-node=\"0\">RAM:<\/b> 128GB DDR5-6000<\/li>\n<li data-path-to-node=\"40,2,0\"><b data-path-to-node=\"40,2,0\" data-index-in-node=\"0\">GPU:<\/b> NVIDIA RTX 5080 (16GB VRAM)<\/li>\n<li data-path-to-node=\"40,3,0\"><b data-path-to-node=\"40,3,0\" data-index-in-node=\"0\">Storage:<\/b> 2TB Gen5 NVMe<\/li>\n<\/ul>\n<h3 data-path-to-node=\"41\">The &#8220;HPC Power User&#8221; Build &#8211; <a href=\"https:\/\/velocitymicro.com\/amd-threadripper-pro.php\">ProMagix HD150<\/a><\/h3>\n<ul>\n<li data-path-to-node=\"42,0,0\"><b data-path-to-node=\"42,0,0\" data-index-in-node=\"0\">CPU:<\/b> AMD Threadripper PRO 9975WX (32 Cores)<\/li>\n<li data-path-to-node=\"42,1,0\"><b data-path-to-node=\"42,1,0\" data-index-in-node=\"0\">RAM:<\/b> 256GB DDR5-5600 (8-Channel)<\/li>\n<li data-path-to-node=\"42,2,0\"><b data-path-to-node=\"42,2,0\" data-index-in-node=\"0\">GPU:<\/b> NVIDIA RTX Pro 6000 Blackwell (96GB VRAM)<\/li>\n<li data-path-to-node=\"42,3,0\"><b data-path-to-node=\"42,3,0\" data-index-in-node=\"0\">Storage:<\/b> Dual 2TB Gen5 NVMe in RAID 0 (For maximum scratch space speed)<\/li>\n<\/ul>\n<h3 data-path-to-node=\"43\">Technical Note on Licensing<\/h3>\n<p data-path-to-node=\"44\">Always align your hardware purchase with your <b data-path-to-node=\"44\" data-index-in-node=\"46\">Ansys HPC licenses<\/b>. If you only have a license for 16 cores, purchasing a 96-core CPU will provide no benefit for the solver stage. Focus instead on maximizing memory bandwidth and per-core frequency for those 16 cores.<\/p>\n<h4 data-path-to-node=\"44\">Configure you Velocity Micro <a href=\"https:\/\/velocitymicro.com\/ansys.php\">Ansys Workstation<\/a> Now.<\/h4>\n","protected":false},"excerpt":{"rendered":"<p>Looking for Ansys System Requirements? Check out our latest post! In the world of Finite Element Analysis (FEA) and Computational&hellip;<\/p>\n","protected":false},"author":13,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[92,24,80],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v19.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\r\n<title>Ansys System Requirements &amp; Empirical Benchmarks<\/title>\r\n<meta name=\"description\" content=\"This guide provides an empirical look at Ansys System Requirements, targeting professionals who need to minimize &quot;time to solution.&quot;\" \/>\r\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\r\n<link rel=\"canonical\" href=\"https:\/\/www.velocitymicro.com\/blog\/ansys-system-requirements-empirical-benchmarks\/\" \/>\r\n<meta property=\"og:locale\" content=\"en_US\" \/>\r\n<meta property=\"og:type\" content=\"article\" \/>\r\n<meta property=\"og:title\" content=\"Ansys System Requirements &amp; 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