Neural Concept to offer best in-class engineering AI using NVIDIA accelerated computing

• Collaboration allows OEMs to deploy Neural Concept on NVIDIA’s latest GPUs and CUDA software with increased performance.

• Neural Concept offers a dedicated user experience, a set of interconnected models and a scalable compute environment that multiplies the impact of CAE engineers to transform their organizations faster.

• Neural Concept is collaborating with a large automotive supplier  to onboard its CAE Engineering team to be fully independent in training, validating, and deploying advanced AI-driven design workflows to different business units internally.

• Over 60 OEMs including Airbus, LS Electric, Mubea, Subaru, LG Electronics, General Electrics, Safran and Mitsubishi Chemical Group use Neural Concept to speed up product design simulations by 10x and reduce product development time by up to 75%.

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Lausanne, Vaud, Switzerland, 15 May 2024 // Neural Concept, today announced that Original Equipment Manufacturers (OEMs) and suppliers can now benefit from increased performance with Neural Concept’s platform and technology using NVIDIA GPUs and CUDA software.

The collaboration between Neural Concept and NVIDIA will allow OEMs and suppliers across multiple verticals to deploy physics-driven AI models and workflows on NVIDIA GPUs. To highlight this, Neural Concept is collaborating with a large automotive supplier to onboard its CAE engineering team to be fully independent in training, validating, and deploying advanced AI-driven design workflows. Leveraging the compute power of NVIDIA GPUs , these experts are able to iterate quickly between different AI models, establishing model training and retraining strategies to harness the large amount of engineering data available within the organization. These AI models are then deployed to drastically speed up the development iterations, while enabling more design creativity to reach better product performance.

Neural Concept can be deployed on nearly all of NVIDIA’s GPUs to enable CAE engineers to solve engineering challenges with ever more ambitious workflows. The platform is location agnostic and can be deployed on-premises, on-premises air-gapped, or via a SaaS or public cloud application.

Founded in 2018, Neural Concept works with over 60 global OEMs and Tier 1 suppliers, including Airbus, LS Electric, Mubea, Subaru, LG Electronics, General Electrics, Safran and Mitsubishi Chemical Group, to bring innovative products to market faster. Neural Concept empowers engineers to 10x accelerate their impact, reduces product development time by up to 75%, and identifies novel design improvements across a variety of attributes, including efficiency, safety, speed, and aerodynamics.

CAE Engineer, Tier 1 Supplier: “The combination of a flexible, modular and powerful AI platform like Neural Concept together with the compute power of the latest NVIDIA GPUs gives us the agility we need to serve our internal customers across different product lines - helping us solve some of the biggest product development bottlenecks we currently face.”

Pierre Baqué, CEO, Neural Concept said, “The world is increasingly turning to engineering companies for solutions to global challenges. Engineering teams are under unprecedented pressure to get new, more innovative products to market as quickly as possible. By collaborating  with NVIDIA, we’re combining our state-of-the-art platform and technology with next-generation AI processing. Engineering Intelligence makes AI the central paradigm of the design process, delegating to computers the tasks of creating detailed designs, starting from high-level functional requirements. It is not an incremental efficiency improvement. It is revolutionizing the way engineers conceptualize, design and validate products.”

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‍About Neural Concept

‍Founded in 2018, Neural Concept provides a leading end-to-end platform which places AI at the center of the product development process to revolutionize the way engineers conceptualize, design and validate products. Neural Concept’s flagship technology exploits the computational power of deep learning to assist world class engineering teams reduce development times by up to 75%, improve product characteristics including efficiency, safety, speed, and aerodynamics, and empower engineers to 10x accelerate their work. Spun-out from the Swiss Federal Institute of Technology in Lausanne (EPFL) in 2018 and backed by world renowned investors such as Alven, Neural Concept works with 40% of the largest European and Asian OEMs and 25% of the top 100 tier-1 suppliers. 

For more information, visit https://www.neuralconcept.com