Simcenter STAR-CCM+ Internal Fluid Flow
Hyperscaler vs. Corvid HPC
October 9th, 2026
Simcenter STAR-CCM+ v.19.02.009
Hyperscaler vs. Corvid HPC Results
Bottlenecks to Bare-Metal
We benchmarked a 40-million-cell Siemens STAR-CCM+ simulation comparing Rescale’s cloud platform against Corvid HPC’s bare-metal architecture. Because CFD workloads are memory-bandwidth bound and rely on ultra-low latency node-to-node communication, Corvid HPC is purpose-built for CAE. By pairing dedicated AMD EPYC Genoa processors—configured to maximize memory bandwidth per core—with a direct, high-speed interconnect, we eliminate virtualized hardware bottlenecks. Scaling across 384 bare-metal cores, Corvid HPC cut solve time by over 3x compared to the baseline while lowering run costs, enabling engineers to complete more design iterations using their existing software licenses.
Accelerate Your Flow
Removing virtual roadblocks allows your software to run at true speed. Moving to Corvid HPC’s dedicated bare-metal hardware—powered by AMD EPYC Genoa processors—eliminates the hidden delays found in standard cloud setups.
Scaling across 384 bare-metal cores dropped runtime from 3.94 hours to just 0.97 hours, delivering results over 3x faster than the cloud baseline. To convert that speed into continuous engineering output, Corvid HPC leverages native Slurm job scheduling to queue back-to-back runs—maximizing software utilization and ROI on every STAR-CCM+ Power Session license.
Crucially, these massive speed and throughput gains protect your bottom line. Completing the benchmark in under an hour cost just $25.32 per job, compared to $67.47 spent for a single, slower run in standard cloud environments—a 62% reduction in compute spend.
What is more valuable to your business today: reducing cloud compute costs by 62%, or leveraging Slurm queuing to run significantly more iterations on your existing STAR-CCM+ software footprint?
Seamless ITAR and CMMC Compliance
Moving sensitive aerospace and defense projects to a remote environment means data security has to be flawless. We make this transition easy by providing an ITAR-compliant platform right out of the box. While standard cloud providers often host your data on shared servers, Corvid HPC locks your workloads down on your own isolated, dedicated hardware. This ensures you meet strict federal rules, like DFARS and NIST SP 800-171, and keeps your environment completely CMMC ready without the usual compliance headaches.
To keep things user-friendly, our platform lets you access your software visually right through a secure web browser. Your team can set up, run, and review massive simulations entirely within our protected environment. This completely eliminates the security risk of downloading huge, sensitive files back to local workstations. With Corvid HPC, you get the massive computing speed you need while keeping your data completely secure and compliant.
| Platform | Core Count | Node Architecture | Wall-Clock Time | % Time Reduction | Case Cost (USD)* |
|---|---|---|---|---|---|
| Hyperscaler (Rescale) | 120 Cores |
Standard Virtualized | 3.94 hours |
Baseline | $67.47 |
| Corvid HPC OD3 | 96 Cores |
AMD EPYC Genoa | 3.80 hours |
3.55% | $27.36 |
| Corvid HPC OD3 | 192 Cores |
AMD EPYC Genoa | 1.88 hours |
52.28% | $27.07 |
| Corvid HPC OD3 | 384 Cores |
AMD EPYC Genoa | 0.97 hours |
75.38% | $25.32 |
Simcenter STAR-CCM+
Performance & Cost Comparison
-
To understand the real-world impact of these cost efficiencies, let's consider an engineering budget of $24,000 dedicated to this specific STAR-CCM+ workload.
On the Hyperscaler (Rescale): At $67.47 per run, a $24,000 budget allows for approximately 355 simulation cases.
On Corvid HPC (Weekday Standard Rate): At $25.32 per run, the exact same $24,000 budget allows for approximately 947 simulation cases.
Comparing the real costs for this effort may look like the following where the $24k in compute costs is amplifying the $230k existing investment in an engineer and software:
$55k for software + $175k FTE Engineer + $24k compute = $254k
That’s ~$716 per run Hyperscaler vs $268 per run for Corvid HPC
By eliminating the cloud tax, engineering teams don't just run jobs 3x faster—they gain the ability to run nearly three times as many design iterations on the exact same budget, significantly expanding their capacity for design exploration and validation.