CoreWeave and Convergent Science Complete 536 Million Cell Direct Numerical Simulation on NVIDIA HGX B200
A joint benchmark by AI infrastructure provider CoreWeave and CFD software developer Convergent Science demonstrates that two NVIDIA HGX B200 instances (16 Blackwell GPUs) can complete a 536 million cell Direct Numerical Simulation (DNS) in 3.62 hours. The study compares scaling behavior between RTX PRO servers and HGX B200 clusters, highlighting memory bandwidth and interconnect as key constraints for extreme-scale engineering simulation.
Direct Numerical Simulation (DNS) is the most accurate method for simulating turbulence in computational fluid dynamics (CFD), solving all scales of fluid motion without relying on turbulence models. However, its extreme demand for memory and compute resources often limits its application to smaller cases or requires specialized high-performance computing infrastructure.
CoreWeave, an AI infrastructure provider, partnered with Convergent Science, a CFD software developer, to benchmark CONVERGE CFD software on NVIDIA HGX B200 GPU clusters. The test successfully completed a DNS case containing 536 million grid cells in 3.62 hours using two NVIDIA HGX B200 instances, comprising 16 NVIDIA Blackwell GPUs.
The study also compared two distinct hardware classes: NVIDIA RTX PRO 6000 Blackwell Server Edition and NVIDIA HGX B200. The RTX PRO server is suited for everyday industrial simulations that fit within a single node, utilizing PCIe for intra-node communication. In contrast, the HGX B200, with significantly higher memory bandwidth (~7.7 TB/s vs 1.6 TB/s) and NVLink interconnects, is designed for ultra-large cases spanning multiple nodes.
It is important to note that these results come from a vendor-partnered benchmark designed to demonstrate theoretical upper limits and scaling characteristics under specific conditions. Real-world production performance may vary depending on physical models, boundary conditions, and software optimizations.