![]() ![]() Choosing the platform that minimizes costs for each execution of your software can help stretch your R&D budget and save your company money on compute expenses.Īt Fluid Numerics, we maintain a modest set of R&D codes, including SELF-Fluids. On cloud platforms, addressing this curiosity becomes pertinent. ![]() With the variety of architectures available in High Performance Computing (HPC), it's easy to wonder how your software performs across platforms. We use our familiarity with the Nvidia K80, P100 and V100 and the applications running on them to efficiently gauge cloud costs. There is a variety of hardware available on Google Cloud to run your accelerated workloads. Our team is here to help you get the most out of your cloud GPU resources on GCP. GPU costs on Google Cloud Platform vary widely depending on your configuration with preemptible options potentiallly saving you 70%. ![]()
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