A brand new supercomputer provided by Cadence, a number one supplier of know-how for digital design automation, is poised to help a collection of engineering design and life sciences purposes accelerated by NVIDIA Blackwell programs and NVIDIA CUDA-X software program libraries.
Out there to deploy within the cloud and on premises, the Millennium M2000 Supercomputer options NVIDIA HGX B200 programs and NVIDIA RTX PRO 6000 Blackwell Server Version GPUs. Mixed with optimized software program, the supercomputer delivers up to 80x greater efficiency for digital design automation, system design and life sciences workloads in contrast to its predecessor, a CPU-based system.
With this enhance in computational functionality, engineers can run large 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 at the moment in Santa Clara, California.
“That is years within the making,” Devgan stated through the dialog with Huang. “It’s a mix of development on the {hardware} and system facet by NVIDIA — and then, in fact, we’ve got to rewrite our software program to reap the benefits 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 an entire new sort of manufacturing facility that’s needed. We name them AI factories,” Huang stated. “AI goes to infuse into each single facet of every thing we do. Each firm will likely 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 programs based mostly on the NVIDIA GB200 NVL72 platform to speed up the corporate’s chip design workflows.
“It is a massive 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 purposes 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 might be able to delivering extra correct insights to allow sooner silicon, programs and drug growth.
By way of this collaboration, Cadence and NVIDIA are fixing key design challenges with various purposes throughout industries — for instance, simulating thermal dynamics for chip design, fluid dynamics for aerospace purposes and molecular dynamics for pharmaceutical analysis.
NVIDIA engineering groups used Cadence Palladium emulation platforms and Protium prototyping platforms to help design verification and chip bring-up workflows for the event of NVIDIA Blackwell.
Cadence used NVIDIA Grace Blackwell-accelerated programs 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 underneath 24 hours extremely advanced simulations that may take a number of days to full on a CPU cluster with a whole lot of 1000’s of cores.
Cadence additionally used NVIDIA Omniverse utility programming interfaces to visualize 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 facility digital twins. Related to the Cadence Actuality Digital Twin Platform, the blueprint allows engineering groups to take a look at and optimize energy, cooling and networking in an AI manufacturing facility with bodily based mostly simulations — lengthy earlier than development begins in the true world. With these capabilities, engineers could make sooner configuration choices and future-proof the subsequent technology of AI factories.
Be taught extra concerning the collaboration between NVIDIA and Cadence and watch this NVIDIA GTC session on advancing physics-based simulation know-how for AI manufacturing facility design.
Photographs courtesy of Cadence.
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