Nvidia introduced that Nvidia Blackwell {hardware} will speed up by 50 instances the massive computer-aided software program engineering corporations’ software program for digital twins.
The distributors embody Ansys, Altair, Cadence, Siemens and Synopsys. With such accelerated software program, together with Nvidia CUDA-X libraries and blueprints to optimize efficiency reminiscent of automotive, aerospace, vitality, manufacturing and life sciences can considerably cut back product improvement time, reduce prices and enhance design accuracy whereas sustaining vitality effectivity.
“CUDA-accelerated physical simulation on Nvidia Blackwell has enhanced real-time digital twins and is reimagining the entire engineering process,” stated Jensen Huang, founder and CEO of Nvidia, in a press release. “The day is coming when virtually all products will be created and brought to life as a digital twin long before it is realized physically.”
The corporate unveiled the information throughout Huang’s keynote on the GTC 2025 occasion. As famous in my current Q&A with Ansys CTO Prith Banerjee, the hole between simulation and actuality is closing, not simply in issues like video video games but additionally with the same expertise used for engineering simulations.
Ecosystem help for Nvidia Blackwell
Software program suppliers will help their prospects develop digital twins with real-time interactivity and now speed up them with NVIDIA Blackwell applied sciences.
The rising ecosystem integrating Blackwell into its software program contains Altair, Ansys, BeyondMath, Cadence, COMSOL, ENGYS, Flexcompute, Hexagon, Luminary Cloud, M-Star, NAVASTO, an Autodesk firm, Neural Idea, nTop, Rescale, Siemens, Simscale, Synopsys and Volcano Platforms.
Cadence is utilizing Nvidia Grace Blackwell-accelerated methods to assist resolve one in all computational fluid dynamics’ largest challenges — the simulation of a whole plane throughout takeoff and touchdown. Utilizing the Cadence Constancy CFD solver, Cadence efficiently ran multibillion cell simulations on a single NVIDIA GB200 NVL72 server in below 24 hours, which might have beforehand required a CPU cluster with a whole bunch of 1000’s of cores and several other days to finish.
This breakthrough will assist the aerospace business transfer towards designing safer, extra environment friendly aircrafts whereas decreasing the quantity of pricy wind-tunnel testing required, dashing time to market.
Anirudh Devgan, president and CEO of Cadence, stated in a press release, “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 not possible before. Our collaboration with Nvidia drives innovation across semiconductors, data centers, physical AI and sciences.”
Sassine Ghazi, president and CEO of Synopsys, stated, “At GTC, we’re unveiling the latest performance results observed across our leading portfolio when optimizing Synopsys solutions for NVIDIA Blackwell to accelerate computationally intensive chip design workflows. Synopsys technology is mission-critical to the productivity and capabilities of engineering teams, from silicon to systems. By harnessing the power of Nvidia accelerated computing, we can help customers unlock new levels of performance and deliver their innovations even faster.”
Ajei Gopal, president and CEO of Ansys, stated, in a press release: “The close collaboration between Ansys and NVIDIA is accelerating innovation at an unprecedented pace. By harnessing the computational performance of NVIDIA Blackwell GPUs, we at Ansys are empowering engineers at Volvo Cars to tackle the most complex computational fluid dynamics challenges with exceptional speed and accuracy — enabling more optimization studies and delivering more performant vehicles.”
James Scapa, founder and CEO of Altair, stated in a press release, “The Nvidia Blackwell platform’s computing power, combined with Altair’s cutting-edge simulation tools, gives users transformative capabilities. This combination makes GPU-based simulations up to 1.6 times faster compared with the previous generation, helping engineers rapidly solve design challenges and giving industries the power to create safer, more sustainable products through real-time digital twins and physics-informed AI.”
Roland Busch, President and CEO of Siemens stated: “The combination of Nvidia’s groundbreaking Blackwell architecture with Siemens’ physics-based digital twins will enable engineers to drastically reduce development times and costs through using photo-realistic, interactive digital twins. This collaboration will allow us to help customers like BMW innovate faster, optimize processes, and achieve remarkable levels of efficiency in design and manufacturing.”
Rescale CAE Hub With Nvidia Blackwell
Rescale’s newly launched CAE Hub permits prospects to streamline their entry to Nvidia applied sciences and CUDA®-accelerated software program developed by main unbiased software program distributors. Rescale CAE Hub supplies versatile, high-performance computing and AI applied sciences within the cloud powered by Nvidia GPUs and Nvidia DGX Cloud.
Increase Supersonic, the corporate constructing the world’s quickest airliner, will use the Nvidia Omniverse Blueprint for real-time digital twins and Blackwell-accelerated CFD solvers on Rescale CAE Hub to design and optimize its new supersonic passenger jet.
The corporate’s product improvement cycle, which is nearly completely simulation-driven, will use the Rescale platform accelerated by Blackwell GPUs to check completely different flight situations and refine necessities in a steady loop with simulation.
The adoption of the Rescale CAE Hub powered by Blackwell GPUs expands Increase Supersonic’s collaboration with Nvidia. By the Nvidia PhysicsNeMo framework and the Rescale AI Physics platform, Increase Supersonic can unlock 4x extra design explorations for its supersonic airliner, dashing iteration to enhance efficiency and time to market.
The Nvidia Omniverse Blueprint for real-time digital twins, now typically accessible, can also be a part of the Rescale CAE Hub. The blueprint brings collectively Nvidia CUDA-X libraries, Nvidia PhysicsNeMo AI and the Nvidia Omniverse platform — and can also be including the primary Nvidia NIM microservice for exterior aerodynamics, the research of how air strikes round objects.
