{"product_id":"ansys-hpc-packs","title":"Ansys HPC Packs","description":"\u003ch6\u003eHigh-Performance Computing  |  Parallel processing licences  |  Lease or paid-up\u003c\/h6\u003e\n\u003cp\u003eEvery Ansys solver licence includes four cores. Your hardware has far more. Ansys HPC Packs unlock the rest — scaling a single simulation from 4 cores to over 2,000, across CPUs and GPUs alike.\u003c\/p\u003e\n\u003ch4\u003eHow do Ansys HPC Packs work?\u003c\/h4\u003e\n\u003cp\u003eEach pack multiplies your parallel capacity rather than adding to it. One pack unlocks 8 cores, two unlock 32, three unlock 128 — quadrupling at every step, following 4 + [8 × 4\u003csup\u003e(h−1)\u003c\/sup\u003e]. The four solver cores come free with every licence.\u003c\/p\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eHPC Packs\u003c\/th\u003e\n\u003cth\u003eCores unlocked\u003c\/th\u003e\n\u003cth\u003eTotal cores per solve\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e0\u003c\/td\u003e\n\u003ctd\u003e0\u003c\/td\u003e\n\u003ctd\u003e4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003ctd\u003e8\u003c\/td\u003e\n\u003ctd\u003e12\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e2\u003c\/td\u003e\n\u003ctd\u003e32\u003c\/td\u003e\n\u003ctd\u003e36\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e3\u003c\/td\u003e\n\u003ctd\u003e128\u003c\/td\u003e\n\u003ctd\u003e132\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e4\u003c\/td\u003e\n\u003ctd\u003e512\u003c\/td\u003e\n\u003ctd\u003e516\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e5\u003c\/td\u003e\n\u003ctd\u003e2,048\u003c\/td\u003e\n\u003ctd\u003e2,052\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003eAnything beyond your entitlement sits idle. Two packs on a 48-core machine will solve on 36 cores and waste the other 12.\u003c\/p\u003e\n\u003cp\u003eBecause the scaling is exponential, \u003cstrong\u003ewhere you deploy packs matters more than how many you own\u003c\/strong\u003e. The same four packs, four ways:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eOne pack on each of four machines — \u003cstrong\u003e48 cores\u003c\/strong\u003e in total\u003c\/li\u003e\n\u003cli\u003eTwo packs on each of two machines — \u003cstrong\u003e72 cores\u003c\/strong\u003e in total\u003c\/li\u003e\n\u003cli\u003eThree packs on one machine, one on another — \u003cstrong\u003e144 cores\u003c\/strong\u003e in total\u003c\/li\u003e\n\u003cli\u003eAll four consolidated on one machine — \u003cstrong\u003e516 cores on a single solve\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eIdentical licence spend, ten times the single-job capacity. Consolidate onto a queued node when a few large models dominate; split across machines when several engineers need to solve at once.\u003c\/p\u003e\n\u003cp\u003eTwo rules shape how you deploy them. An individual pack cannot be split between users or between analyses, and aside from the four built-in cores, packs cannot be mixed with other HPC licence types in the same solve. Packs can, however, be used to run concurrent parametric variations — supported through Workbench design points, Ansys Electronics Desktop and CFX operating maps.\u003c\/p\u003e\n\u003ch4\u003eAnsys HPC for GPUs\u003c\/h4\u003e\n\u003cp\u003eHPC Packs license GPU compute on the same entitlement. Ansys counts streaming multiprocessors (SMs) — the compute blocks inside a GPU — in place of CPU cores, or compute units (CUs) on AMD hardware. A CFD Enterprise licence includes 40 SMs before any pack is needed.\u003c\/p\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eGPU SMs in the job\u003c\/th\u003e\n\u003cth\u003eHPC Packs required\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eUp to 40\u003c\/td\u003e\n\u003ctd\u003e0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e41 - 48\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e49 - 72\u003c\/td\u003e\n\u003ctd\u003e2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e73 - 168\u003c\/td\u003e\n\u003ctd\u003e3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e169 - 552\u003c\/td\u003e\n\u003ctd\u003e4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e553 - 2,088\u003c\/td\u003e\n\u003ctd\u003e5\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eThe critical difference is that SMs are fixed in silicon. You can leave CPU cores idle; you cannot switch off SMs, and a single Fluent case occupies the whole card. A GPU that crosses a bracket boundary forces the next pack tier whether or not you need the headroom — which makes card selection a licensing decision as much as a hardware one.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eGPU configuration\u003c\/th\u003e\n\u003cth\u003eTotal SMs\u003c\/th\u003e\n\u003cth\u003eHPC Packs required\u003c\/th\u003e\n\u003cth\u003eCombined GPU memory\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e1x NVIDIA RTX 4500 Ada\u003c\/td\u003e\n\u003ctd\u003e60\u003c\/td\u003e\n\u003ctd\u003e2\u003c\/td\u003e\n\u003ctd\u003e24GB GDDR6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e2x NVIDIA RTX 4500 Ada\u003c\/td\u003e\n\u003ctd\u003e120\u003c\/td\u003e\n\u003ctd\u003e3\u003c\/td\u003e\n\u003ctd\u003e48GB GDDR6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e4x NVIDIA RTX 4500 Ada\u003c\/td\u003e\n\u003ctd\u003e240\u003c\/td\u003e\n\u003ctd\u003e4\u003c\/td\u003e\n\u003ctd\u003e96GB GDDR6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e1x NVIDIA RTX 5000 Ada\u003c\/td\u003e\n\u003ctd\u003e100\u003c\/td\u003e\n\u003ctd\u003e3\u003c\/td\u003e\n\u003ctd\u003e32GB GDDR6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e2x NVIDIA RTX 5000 Ada\u003c\/td\u003e\n\u003ctd\u003e200\u003c\/td\u003e\n\u003ctd\u003e4\u003c\/td\u003e\n\u003ctd\u003e64GB GDDR6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e4x NVIDIA RTX 5000 Ada\u003c\/td\u003e\n\u003ctd\u003e400\u003c\/td\u003e\n\u003ctd\u003e4\u003c\/td\u003e\n\u003ctd\u003e128GB GDDR6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e1x NVIDIA RTX 6000 Ada\u003c\/td\u003e\n\u003ctd\u003e142\u003c\/td\u003e\n\u003ctd\u003e3\u003c\/td\u003e\n\u003ctd\u003e48GB GDDR6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e2x NVIDIA RTX 6000 Ada\u003c\/td\u003e\n\u003ctd\u003e284\u003c\/td\u003e\n\u003ctd\u003e4\u003c\/td\u003e\n\u003ctd\u003e96GB GDDR6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e4x NVIDIA RTX 6000 Ada\u003c\/td\u003e\n\u003ctd\u003e568\u003c\/td\u003e\n\u003ctd\u003e5\u003c\/td\u003e\n\u003ctd\u003e192GB GDDR6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e1x NVIDIA A800 40GB Active\u003c\/td\u003e\n\u003ctd\u003e108\u003c\/td\u003e\n\u003ctd\u003e3\u003c\/td\u003e\n\u003ctd\u003e40GB HBM2e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e2x NVIDIA A800 40GB Active\u003c\/td\u003e\n\u003ctd\u003e216\u003c\/td\u003e\n\u003ctd\u003e4\u003c\/td\u003e\n\u003ctd\u003e80GB HBM2e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e4x NVIDIA A800 40GB Active\u003c\/td\u003e\n\u003ctd\u003e432\u003c\/td\u003e\n\u003ctd\u003e4\u003c\/td\u003e\n\u003ctd\u003e160GB HBM2e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e1x NVIDIA H200 NVL\u003c\/td\u003e\n\u003ctd\u003e132\u003c\/td\u003e\n\u003ctd\u003e3\u003c\/td\u003e\n\u003ctd\u003e141GB HBM3e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e2x NVIDIA H200 NVL\u003c\/td\u003e\n\u003ctd\u003e264\u003c\/td\u003e\n\u003ctd\u003e4\u003c\/td\u003e\n\u003ctd\u003e282GB HBM3e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e4x NVIDIA H200 NVL\u003c\/td\u003e\n\u003ctd\u003e528\u003c\/td\u003e\n\u003ctd\u003e4\u003c\/td\u003e\n\u003ctd\u003e564GB HBM3e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e1x NVIDIA RTX PRO 6000 Blackwell\u003c\/td\u003e\n\u003ctd\u003e188\u003c\/td\u003e\n\u003ctd\u003e4\u003c\/td\u003e\n\u003ctd\u003e96GB GDDR7\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e2x NVIDIA RTX PRO 6000 Blackwell\u003c\/td\u003e\n\u003ctd\u003e376\u003c\/td\u003e\n\u003ctd\u003e4\u003c\/td\u003e\n\u003ctd\u003e192GB GDDR7\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e4x NVIDIA RTX PRO 6000 Blackwell\u003c\/td\u003e\n\u003ctd\u003e752\u003c\/td\u003e\n\u003ctd\u003e5\u003c\/td\u003e\n\u003ctd\u003e384GB GDDR7\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eThe comparisons that matter are between rows, not within them. A single RTX 5000 Ada (100 SMs) and a single RTX 6000 Ada (142 SMs) both sit in the three-pack bracket, so the faster card costs nothing extra to license. At four cards the position reverses: 4× RTX 5000 Ada totals 400 SMs and stays on four packs, while 4× RTX 6000 Ada reaches 568 SMs and tips into five. If the model needs four boards, the slower card can be the better buy once the licence is counted.\u003c\/p\u003e\n\u003cp\u003eThe same logic favours the RTX PRO 6000 Blackwell at two cards — 376 SMs and 192GB on four packs, the same licence count as a single board. Where FP64 double precision is required, the H200 NVL carries the most memory and bandwidth but is server-only, while the A800 40GB Active fits a workstation with display output at lower throughput.\u003c\/p\u003e\n\u003cp\u003eUnder HPC licensing, GPU acceleration is available in Ansys Fluent, Ansys Mechanical, Ansys HFSS transient and Ansys Polyflow. Other applications remain CPU-only. Ansys Rocky is the exception to the whole model — it uses its own HPC Task and Feature licences, with 112 SMs already included in the base product.\u003c\/p\u003e\n\u003ch4\u003eCompatible Ansys Products\u003c\/h4\u003e\n\u003cp\u003eHPC Packs draw from one shared pool across the Ansys solver portfolio. Every application below runs on four included cores and scales from there on packs:\u003c\/p\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003ePhysics\u003c\/th\u003e\n\u003cth\u003eAnsys application\u003c\/th\u003e\n\u003cth\u003eGPU acceleration\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eFluids\u003c\/td\u003e\n\u003ctd\u003eAnsys Fluent\u003c\/td\u003e\n\u003ctd\u003eYes — native GPU solver, SM-based\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFluids\u003c\/td\u003e\n\u003ctd\u003eAnsys CFX\u003c\/td\u003e\n\u003ctd\u003eNo — CPU only\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFluids\u003c\/td\u003e\n\u003ctd\u003eAnsys Polyflow\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFluids\u003c\/td\u003e\n\u003ctd\u003eAnsys Forte\u003c\/td\u003e\n\u003ctd\u003eNo — CPU only\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFluids\u003c\/td\u003e\n\u003ctd\u003eAnsys Chemkin-Pro\u003c\/td\u003e\n\u003ctd\u003eNo — CPU only\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFluids\u003c\/td\u003e\n\u003ctd\u003eAnsys FENSAP-ICE\u003c\/td\u003e\n\u003ctd\u003eNo — CPU only\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStructures\u003c\/td\u003e\n\u003ctd\u003eAnsys Mechanical \/ Mechanical APDL\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStructures\u003c\/td\u003e\n\u003ctd\u003eAnsys Autodyn (Explicit Dynamics)\u003c\/td\u003e\n\u003ctd\u003eNo — CPU only\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStructures\u003c\/td\u003e\n\u003ctd\u003eAnsys Rigid Body Dynamics\u003c\/td\u003e\n\u003ctd\u003eNo — CPU only\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStructures\u003c\/td\u003e\n\u003ctd\u003eAnsys Motion\u003c\/td\u003e\n\u003ctd\u003eNo — CPU only\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStructures\u003c\/td\u003e\n\u003ctd\u003eAnsys Aqwa\u003c\/td\u003e\n\u003ctd\u003eNo — CPU only\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eElectronics\u003c\/td\u003e\n\u003ctd\u003eAnsys HFSS\u003c\/td\u003e\n\u003ctd\u003eYes — transient solver\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eElectronics\u003c\/td\u003e\n\u003ctd\u003eAnsys Maxwell\u003c\/td\u003e\n\u003ctd\u003eNo — CPU only\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eElectronics\u003c\/td\u003e\n\u003ctd\u003eAnsys Q3D Extractor\u003c\/td\u003e\n\u003ctd\u003eNo — CPU only\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eElectronics\u003c\/td\u003e\n\u003ctd\u003eAnsys Icepak\u003c\/td\u003e\n\u003ctd\u003eNo — CPU only\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eElectronics\u003c\/td\u003e\n\u003ctd\u003eAnsys SIwave\u003c\/td\u003e\n\u003ctd\u003eNo — CPU only\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eElectronics\u003c\/td\u003e\n\u003ctd\u003eAnsys Circuit \/ EMIT\u003c\/td\u003e\n\u003ctd\u003eNo — CPU only\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOptics\u003c\/td\u003e\n\u003ctd\u003eAnsys SPEOS\u003c\/td\u003e\n\u003ctd\u003ePreview only\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOptics\u003c\/td\u003e\n\u003ctd\u003eAnsys Optics (Lumerical FDTD)\u003c\/td\u003e\n\u003ctd\u003eYes — SM-based\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eLicensed separately.\u003c\/strong\u003e These scale in parallel but do not draw on HPC Packs:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAnsys LS-DYNA\u003c\/strong\u003e — Ansys LS-DYNA HPC licences (dysmp) — sold as HPC-8 \/ 16 \/ 32 \/ 64 \/ 128 \/ 256. Standard HPC Pack licences cannot be used.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAnsys Rocky\u003c\/strong\u003e — Ansys Rocky HPC Tasks and Features. The base licence already covers 112 GPU SMs; 1 task adds 14 SMs.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAnsys EnSight\u003c\/strong\u003e — Node-based EnSight HPC and EnSight HPC+ licences.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eNot applicable.\u003c\/strong\u003e Ansys Discovery, Ansys SpaceClaim, Ansys Zemax OpticStudio, Ansys Granta MI, Ansys SCADE Suite, Ansys medini analyze, Ansys Sound and similar desktop, design and data products do not consume HPC Packs, though several use GPU acceleration natively at no licence cost.\u003c\/p\u003e\n\u003ch4\u003eOther ways to license Ansys HPC\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAnsys HPC Workgroup\u003c\/strong\u003e — a flat pool of cores, from 16 up to 32,768, divisible across machines and jobs however you choose. More flexible for shared clusters, less peak scale per solve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAnsys CFD HPC Ultimate\u003c\/strong\u003e — introduced in 2025 R1, a task-based licence that removes core limits entirely for CFD Enterprise solvers. One fixed cost, any number of cores or GPU SMs per job.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eNot sure how many packs your models need? Send CADIT a representative model and your hardware specification, and we will size the entitlement and show you the break-even points before you buy.\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003eLicensing behaviour per the Ansys 2025 R1 Licensing Guide and Ansys HPC documentation. GPU SM counts are manufacturer specifications. Entitlements change between releases — confirm current scope with CADIT before purchase.\u003c\/em\u003e\u003c\/p\u003e","brand":"Ansys","offers":[{"title":"Default Title","offer_id":53474008891692,"sku":null,"price":0.0,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0918\/7894\/9164\/files\/CADIT_Ansys_HPC_Packs-2026.jpg?v=1785271220","url":"https:\/\/caditglobal.myshopify.com\/products\/ansys-hpc-packs","provider":"cadit.com","version":"1.0","type":"link"}