![]() ![]() The benchmarks have been designed to run in about 48 hours on current generation hardware with at least 128 GB of RAM. *NVIDIA Tesla V100S is passively cooled and recommended only if used in a rack-mounted configuration for this type of workstation. ![]() GPU: NVIDIA Quadro V100S*, NVIDIA Quadro RTX 6000 Mem: 512GB RAM. 2x Gold 6252 24C vs 2x 6256 12C + V100S.Įxxact Ansys Certified Rack-mountable Workstation - CPU: 2x Intel Xeon Gold 6256 3.60 GHz 12-Core CPUs, HT Off. In some cases, a sole high core count processor even outperforms a solution with CPU + GPU acceleration. Besides GPU, high core count CPU is playing an essential role in Ansys application performance.V100S performance is almost 2x better than RTX 6000/8000 in some cases (V19sp-X cases).Tesla V100S has nearly 2x better performance on models (V19sp-X) using sparse solver due to its higher FP64 performance.Cases are selected to represent typical usage and cover a range of mesh sizes and physical models." Key Findings To accomplish this goal, Ansys provides the suite of simulation cases that make up the Ansys benchmark suite to its hardware partners for their use in benchmarking hardware performance then the data is reported to Ansys and compiled for this site. ![]() The benchmarks can be used to compare the performance of different hardware platforms when running Ansys solvers. According to Ansys: "Ansys benchmarks provide comprehensive and fair comparative information concerning the performance of Ansys solvers on available hardware platforms. In this blog, we examine Benchmark results for Ansys Mechanical on NVIDIA GPUs. ![]()
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