A brand new supercomputer provided by Cadence, a number one supplier of know-how for digital design automation, is poised to assist a set of engineering design and life sciences functions accelerated by NVIDIA Blackwell techniques and NVIDIA CUDA-X software program libraries.
Accessible to deploy within the cloud and on premises, the Millennium M2000 Supercomputer options NVIDIA HGX B200 techniques and NVIDIA RTX PRO 6000 Blackwell Server Version GPUs. Mixed with optimized software program, the supercomputer delivers as much as 80x larger efficiency for digital design automation, system design and life sciences workloads in comparison with its predecessor, a CPU-based system.
With this enhance in computational functionality, engineers can run huge simulations to drive breakthroughs within the design and growth of autonomous machines, drug molecules, semiconductors, information facilities and extra.
Anirudh Devgan, president and CEO of Cadence, mentioned the collaboration with NVIDIA founder and CEO Jensen Huang onstage at CadenceLIVE, happening as we speak in Santa Clara, California.
“That is years within the making,” Devgan stated through the dialog with Huang. “It’s a mixture of development on the {hardware} and system aspect by NVIDIA — after which, after all, we’ve got to rewrite our software program to make the most of that.”
The pair mentioned how NVIDIA and Cadence are working collectively on AI factories, digital twins and agentic AI.
“The work that we’re doing collectively acknowledges that there’s a complete new sort of manufacturing unit that’s vital. We name them AI factories,” Huang stated. “AI goes to infuse into each single side of all the things we do. Each firm will probably be run higher due to AI, or they’ll construct higher merchandise due to AI.”
Huang additionally introduced that NVIDIA plans to buy 10 Millennium Supercomputer techniques based mostly on the NVIDIA GB200 NVL72 platform to speed up the corporate’s chip design workflows.
“This can be a huge deal for us,” he stated. “We began constructing our information middle to prepare for it.”
Enabling Clever Design Throughout Industries
The Millennium Supercomputer harnesses accelerated software program from NVIDIA and Cadence for functions together with circuit simulation, computational fluid dynamics, information middle design and molecular design.
With the supercomputer’s optimized {hardware} and AI software program, engineers and researchers can construct extra advanced, detailed simulations which are able to delivering extra correct insights to allow quicker silicon, techniques and drug growth.
Via this collaboration, Cadence and NVIDIA are fixing key design challenges with numerous functions throughout industries — for instance, simulating thermal dynamics for chip design, fluid dynamics for aerospace functions and molecular dynamics for pharmaceutical analysis.
NVIDIA engineering groups used Cadence Palladium emulation platforms and Protium prototyping platforms to assist design verification and chip bring-up workflows for the event of NVIDIA Blackwell.
Cadence used NVIDIA Grace Blackwell-accelerated techniques to calculate the fluid dynamics at work when an plane takes off and lands. Utilizing NVIDIA GB200 Grace Blackwell Superchips and the Cadence Constancy CFD Platform, Cadence was in a position to run in beneath 24 hours extremely advanced simulations that will take a number of days to finish on a CPU cluster with tons of of hundreds of cores.
Cadence additionally used NVIDIA Omniverse utility programming interfaces to visualise these intricate fluid dynamics.
The corporate has built-in NVIDIA BioNeMo NIM microservices into Orion, Cadence’s molecular design platform — and NVIDIA Llama Nemotron reasoning fashions into the Cadence JedAI Platform.
Cadence has additionally adopted the NVIDIA Omniverse Blueprint for AI manufacturing unit digital twins. Related to the Cadence Actuality Digital Twin Platform, the blueprint permits engineering groups to check and optimize energy, cooling and networking in an AI manufacturing unit with bodily based mostly simulations — lengthy earlier than development begins in the actual world. With these capabilities, engineers could make quicker configuration choices and future-proof the subsequent technology of AI factories.
Study extra concerning the collaboration between NVIDIA and Cadence and watch this NVIDIA GTC session on advancing physics-based simulation know-how for AI manufacturing unit design.
Photos courtesy of Cadence.