Expanded Collaboration Provides Engineers and Scientists with Scalable, Leading-Edge Computing Resources to Accelerate Innovation
Rescale, the leading cloud high performance computing (HPC) platform for AI-accelerated modeling and simulation, announced the expansion of its global network of cloud service providers to include NVIDIA DGX Cloud via the NVIDIA Cloud Partner network, enabling customers to leverage the leading-edge architectures from NVIDIA in more locations with greater access to capacity.
This collaboration expands Rescale’s global network of cloud service providers to deliver unmatched access to hundreds of cutting-edge compute services and the latest architectures. By enhancing its integration with NVIDIA DGX Cloud and launching the new Rescale CAE Hub powered by NVIDIA, Rescale delivers greater availability of GPU-accelerated simulation and AI workloads to independent software vendors’ customers. Rescale customers will benefit from enhanced performance, scalability, and cost savings through better access to the latest cutting-edge GPU infrastructure, such as the NVIDIA GB200 NVL72 platform, which is powered by NVIDIA Blackwell architecture and high-speed NVIDIA NVLinkTM. Through this collaboration, engineers and scientists can dramatically accelerate their simulation workflows — for example, leading high-performance CFD codes deliver up to 50x faster results when run on GPU Blackwell versus traditional architectures.
“By combining Rescale’s fully integrated open ecosystem of over 1,250 simulation applications, cloud-native data management and simulation capabilities, platform features, and AI Physics, with direct access to NVIDIA’s industry-leading accelerated computing technologies, we are unlocking new levels of scale, speed, and intelligence for engineers and scientists,” said Joris Poort, CEO of Rescale. “Our collaboration is aimed at enabling the next era of innovation through AI-powered simulation to deliver the innovations our future depends on.”
Tim Costa, senior director of CAE and CUDA-X at NVIDIA, said, “By connecting CUDA-accelerated CAE and EDA softwares through Rescale CAE Hub with NVIDIA’s global network of cloud service providers, we are enabling enterprises to seamlessly adopt GPU-accelerated CAE workflows at scale. This collaboration enables engineering teams to adopt AI more easily, leveraging the intersection of AI and physics to drive breakthrough innovations.”
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Rescale’s open platform offers the control and data planes necessary for workload orchestration across multi-cloud and multi-software environments, laying the foundations for building AI Physics workflows. This is why leading companies like Boom Supersonic, the company building the world’s fastest airliner, are turning to Rescale and NVIDIA to explore new possibilities and achieve faster, more efficient innovation.
“At Boom, our mission is to make the world dramatically more accessible by making supersonic travel mainstream. We are also accelerating aircraft development with digital engineering and AI,” said Blake Scholl, founder and CEO at Boom Supersonic. “Studies that used to take months and cost millions can now be done in days, thanks to cutting-edge computing and AI technologies developed by Boom, Rescale, and NVIDIA.”
Working with Rescale and NVIDIA allows Boom to explore 4x more design possibilities, achieve 10x faster aerodynamic simulations, and drive 30x greater cost efficiency, accelerating innovation like never before.
By increasing access to cost-efficient, high performance computing, this collaboration expands Rescale’s capabilities and enhances its ability to support customers in organizing data, developing and deploying AI Physics methods for modeling & simulation. A critical enabler of this effort is infrastructure that securely and automatically captures and pre-processes simulation data and its metadata at the point of compute to generate high-quality training datasets. By building data management into the HPC workload orchestration layer, Rescale‘s platform converts raw, unstructured simulation data into AI-ready training sets, accelerating innovation and deployment.
Source: PRNewswire
