The digital twin concept has thus gained a solid foothold in just the past years, but has also taken off technologically in a way that is simply breathtaking. With solutions like NVIDIA Blackwell, simulation engineering software can be accelerated by orders of magnitude 50 times in capacity and provided with real-time interactivity. With such accelerated software, coupled with NVIDIA CUDA-X libraries and blueprints to further optimize performance, industries such as automotive, aerospace, energy, manufacturing, and life sciences can significantly reduce product development time, reduce costs, and increase design accuracy while maintaining energy efficiency. CUDA, a collection of libraries that deliver dramatically higher performance – compared to CPU-only alternatives – across application domains, including AI and high-performance computing.
“CUDA-accelerated physical simulation on NVIDIA Blackwell has enhanced real-time digital twins and reimagined the entire design process,” said Jensen Huang, founder and CEO of NVIDIA, adding: “The day is coming when virtually any product will be created and brought to life as a digital twin long before it is physically realized.”
Ecosystem Support for NVIDIA Blackwell
The growing ecosystem that integrates Blackwell into its software includes Altair, Ansys, BeyondMath, Cadence, COMSOL, ENGYS, Flexcompute, Hexagon, Luminary Cloud, M-Star, NAVASTO, an Autodesk company, Neural Concept, nTop, Rescale, Siemens, Simscale, Synopsys, and Volcanosys.
Among these, Cadence is using NVIDIA Grace Blackwell-accelerated systems to help solve one of the biggest challenges in computational fluid dynamics – the simulation of an entire aircraft during takeoff and landing. Using the Cadence Fidelity CFD solver, Cadence successfully ran multi-billion cell simulations on a single NVIDIA GB200 NVL72 server in under 24 hours, which previously would have required a CPU cluster with hundreds of thousands of cores and several days to complete.
This breakthrough will help the aerospace industry move toward designing safer, more efficient aircraft while reducing the amount of expensive wind tunnel testing required, accelerating time to market.
“NVIDIA Blackwell’s acceleration of the Cadence AI portfolio delivers increased productivity and quality of results for intelligent system design – reducing engineering tasks that took hours to minutes and unlocking simulations that were not possible before. Our collaboration with NVIDIA is driving innovation across semiconductors, data centers, physical AI and science,” said Anirudh Devgan, CEO and President of Cadence.
Leveraging Blackwell in Chip Design
Synopsys CEO Sassine Ghazi is also enthusiastic: “At GTC, we revealed the latest performance results observed across our leading portfolio as we optimize Synopsys solutions for NVIDIA Blackwell to accelerate compute-intensive chip design workflows. Synopsys technology is mission-critical to the productivity and capability of NVIDIA’s accelerated power systems. By leveraging NVIDIA’s accelerated power systems, we can help customers unlock new levels of performance and deliver their innovations even faster.”
Another industry heavyweight profile, James Scapa, founder of Altair, now owned by Siemens, praises Blackwell:
“The computing power of the NVIDIA Blackwell platform, combined with Altair’s groundbreaking simulation tools, gives users transformative opportunities. This combination makes GPU-based simulations up to 1.6 times faster than the previous generation, helping engineers quickly solve design challenges and empowering industries to create safe, durable digital products on time. physics-informed AI.”
Scaling CAE Hub with NVIDIA Blackwell
Also on the CAE side is Rescale’s newly launched CAE Hub, which enables users to streamline their access to NVIDIA technologies and CUDA-accelerated software developed by leading independent software vendors. Rescale CAE Hub provides flexible, high-performance computing and AI technologies in the cloud powered by NVIDIA GPUs and NVIDIA DGX Cloud.
On the user side of the CAE Hub, Rescale notes that Boom Supersonic, the company building the world’s fastest aircraft, will use NVIDIA Omniverse Blueprint for real-time digital twins and Blackwell-accelerated CFD solvers on the Rescale CAE Hub to design and optimize its new supersonic passenger jet. The company’s product development cycle, almost entirely simulation-driven, will also use the Rescale platform accelerated by Blackwell GPUs to test different flight conditions and refine requirements in a continuous loop with simulation.
By investing in the Rescale CAE Hub, which is powered by Blackwell GPUs, Boom Supersonics is expanding its partnership with NVIDIA. Through the NVIDIA PhysicsNeMo framework and the Rescale AI Physics platform, Boom Supersonic can unlock 4x more design exploration for its supersonic aircraft, accelerating iteration to improve performance and time to market.
Finally, it is clear that it is not only simulation and analytics developers who have recognized the greatness of the Blackwell approach: Leading cloud service providers are investing in Blackwell to advance generative AI, deep learning, and cloud services, demonstrating NVIDIA’s commitment to pushing the boundaries of AI technology.
