Rescale & NVIDIA

Rescale partners with NVIDIA to provide the industry-leading turnkey, secure, cloud-based artificial intelligence (AI) and high performance computing (HPC) simulation platform for research & development (R&D). Integrated with the latest NVIDIA software and hardware technologies, Rescale with NVIDIA allows users to instantly scale out computationally complex and AI-powered simulations and analytics.

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Maximize R&D Efficiency with NVIDIA on Rescale

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Deploy the latest NVIDIA AI & HPC frameworks like Modulus, connect to the NVIDIA GPU Cloud (NGC) container catalog, and Omniverse in just a few clicks with the near unlimited scaling potential of the cloud

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Unleash R&D breakthroughs by integrating AI with CPU and GPU-accelerated simulation applications on a single platform for model training, inference, design automation, and design validation

Cloudstack

Accelerate HPC and AI for R&D with turnkey access to NVIDIA hardware like DGX systems, DGX Foundry, and LaunchPad available through Base Command Platform, as well as the latest GPU-powered instances offered by AWS, Azure, GCP, and OCI

See What Others Say About NVIDIA on Rescale

Featured Providers of NVIDIA GPU-Accelerated Applications on Rescale

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Explore Use Cases

nvidia GTC
Getting Started with AI for Engineering Simulations using Modulus on Rescale Platform

High-fidelity simulations in science and engineering are computationally expensive and time-prohibitive for iterative workflows from design analysis to optimization. Learn how you can use Modulus on the ScaleX platform to get started in as little as five clicks to create a digital twin model for your application using examples from computational fluid dynamics and design optimization.

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nvidia GTC
How to Run Aerospace Engineering Simulations Securely in the Cloud with Rescale (Presented by Carahsoft)

Migrating scientific workloads to the cloud has always been challenging due to complexities that require knowledge in multiple domains, including (but not limited to) scientific/engineering expertise, cloud architecture, hardware architecture, security, and software license management. Specifically, creating a technological breakthrough is especially difficult in the aerospace sector, which traditionally requires billions of dollars in R&D, a small army of engineering staff, extensive wind tunnel testing, extensive security audits, and many years of development.

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AZothBio Accelerates New Drug Discovery Using Deep Learning on Rescale

AZothBio’s proprietary epitope prediction AI model uses deep learning processes, and analyzes the biological data related to antigen/antibody reactions to predict peptide sequences that activate the immune response. The combination of the AI model and genome analytics widens the possibilities for developing immunotherapeutic drugs and vaccines. However, as they scaled up multiple areas of research their on-premises compute environment could not support the capacity and complexity of their tools, and it would be time and cost prohibitive to rebuild them in-house.

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