Dell Pro Max
Breaking the Multiphysics Simulation Bottleneck
Multiphysics simulation no longer requires compromise. Modern workstations and GPUs are unlocking full‑fidelity insight.
Key takeaways: Multiphysics simulations were once constrained by memory and time. With Dell Pro Max workstations and NVIDIA RTX PRO GPUs, engineers can now run full‑fidelity models faster—without simplifying physics or waiting on clusters.
Coupling thermal, structural, fluid, and electromagnetic physics into a single model produces far more accurate predictions than running each domain separately. However, traditional CPU clusters made full-fidelity simulation a luxury most projects couldn’t afford. Advances in GPU acceleration and unified memory architectures are delivering the compute capabilities that multiphysics simulation has long demanded.
Demands and constraints of multiphysics simulation
Sparse matrix operations dominate multiphysics solver time, and these operations are memory-bound. While CPUs offer strong general-purpose performance, they spend most of their time waiting for data to move in and out of memory, limiting overall efficiency. Early GPU acceleration helped, but only partially. Data still had to move between CPU memory and GPU memory across the PCIe bus. As models grew larger, the cost of moving data erased much of the GPU’s computational advantage. The most accurate models, the ones engineers wanted to run, were often the ones that couldn’t finish in time.
In practice, this meant engineers were forced to simplify physics, reduce resolution, or decompose models—not because it was ideal, but because it was necessary.
Unified memory changes the equation
NVIDIA’s Grace Hopper architecture eliminates the data transfer bottleneck with unified memory. The GH200 Superchip provides 576GB of coherent memory accessible to both CPU and GPU, connected via NVLink-C2C at 900GB/s, seven times faster than PCIe Gen5 x16. Large multiphysics models that previously required painful partitioning to fit in GPU memory can now run entirely on a single chip.
The performance impact is significant. Ansys reports that a 2.4-billion-cell automotive aerodynamics simulation running on 320 NVIDIA GH200 GPUs completed in 6 hours what previously took 4 weeks on a 2,048-core CPU cluster. COMSOL Multiphysics 6.4 integrates NVIDIA’s cuDSS direct sparse solver, delivering 5x or greater speedups on multiphysics simulations.
More importantly, these gains translate into something engineers value even more than speed: confidence in results.
From the desktop to the data center
This new generation of compute doesn’t just benefit large clusters—it scales seamlessly from individual engineers to enterprise environments.
With a Dell Pro Max Tower T2, equipped with an NVIDIA RTX PRO 6000 Blackwell GPU, engineers can now solve moderately complex problems directly at their desk. Workstation‑class reliability, ISV certifications, and large GPU memory footprints make it possible to iterate faster, without submitting jobs to shared clusters or waiting in queues.
As model complexity increases, teams can scale up without changing workflows. For larger models, systems like the Dell PowerEdge XE9680 with eight NVIDIA H200 GPUs provide 141GB of HBM3e per GPU, over 1.1TB of total GPU memory. Models that previously required decomposition across multiple nodes can now run intact on a single server.
For production workflows running dozens of concurrent analyses, rack-scale systems like the Dell PowerEdge XE8712 with NVIDIA GB200 NVL4 architecture handle the load, supporting up to 144 B200 GPUs per rack.
Across this spectrum, leading CAE vendors including Ansys, Siemens, COMSOL, and Altair have built GPU-native solvers that take full advantage of these architectures.
Full‑fidelity multiphysics is no longer a constraint
For decades, simulation fidelity was a negotiation between complexity and timelines. Engineers made critical design decisions based on approximations—not because they wanted to, but because they had to.
That constraint is now gone.
With Dell Pro Max workstations and NVIDIA RTX™ PRO GPUs, engineers gain the freedom to run full‑fidelity multiphysics simulations earlier, more often, and with greater confidence. The hardware is ready. The solvers are built. And the bottlenecks that once slowed innovation are no longer a given.
Multiphysics simulation is no longer something to design around—it’s something to design with.
Ready to eliminate compromise from your most demanding simulations?
Explore Dell Pro Max workstations with NVIDIA RTX PRO GPUs and see how full‑fidelity multiphysics can accelerate insight—from the desktop to the data center.
