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NVIDIA on Rescale

AI and GPU-accelerated simulations on a secure platform for high-performance computing in scientific and engineering R&D.

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Overview

NVIDIA on Rescale for Scientific and Engineering Innovation

Experience AI and GPU-accelerated simulations through a secure, turnkey platform designed for high-performance computing. This platform is transforming R&D by leveraging the power of GPU-accelerated computing, AI advancements, and growing cloud computing adoption.

Powering the Digital Transformation of R&D

GPU-accelerated computing is increasingly prevalent, with AI significantly enhancing scientific and engineering processes. The adoption of cloud computing continues to rise, providing scalable resources for complex simulations.

Featured NVIDIA Integrations

  • Rescale CAE Hub Powered by NVIDIA: Utilize NVIDIA’s DGX Cloud and Blackwell GPU architectures to accelerate CAE simulations by up to 50 times. This integration includes NVIDIA’s CUDA-X libraries and Omniverse Blueprints, enabling seamless AI-enhanced workflows and real-time digital twins.
  • NVIDIA Omniverse Blueprint on Rescale: Supports real-time, physics-based digital twins for CAE, enhancing simulation accuracy and reducing development costs. This integration empowers engineers to innovate efficiently and speed up product market entry.
  • NVIDIA AI Enterprise: Accelerates data science pipelines and simplifies AI deployment across various applications, including generative AI and computer vision, with over 50 frameworks and pre-trained models.
  • NVIDIA Modulus on Rescale: An open-source framework for building Physics-ML models, blending physics causality with simulation data to enhance engineering simulations across multiple physics domains.

Deploy AI Models and GPU-Accelerated Applications

Access a wide range of ready-to-use containers, pre-trained models, and SDKs for diverse scientific and engineering applications. Rescale simplifies the deployment of NVIDIA AI Enterprise and NGC on any cloud platform.

Innovate with NVIDIA AI and GPU-Accelerated Applications

Access over 1,000 commercial and open-source HPC applications and AI frameworks. Generate AI training data from simulation results to accelerate R&D testing and design.

Accelerate R&D with Any NVIDIA Architecture on Any Cloud

Rescale offers the latest accelerated computing hardware through cloud service providers like AWS, Microsoft Azure, Google Cloud Platform, and Oracle Cloud Infrastructure. The platform helps balance performance, cost, and power consumption for compute-intensive R&D efforts.

R&D Computing at Any Scale In the Cloud

Rescale supports hardware, software, and data management in the cloud, allowing seamless transition from pilot projects to large-scale production on multi-node GPU clusters.

Rely on Rescale’s Industry-Leading Governance and Security

Rescale provides a centralized management console with built-in security, ensuring compliance with industry standards like ITAR, FedRAMP, HIPAA, GDPR, and SOC 2. Control hardware costs and software licensing utilization while protecting intellectual property.

Go Fast, Really Fast with NVIDIA on Rescale

Rapidly deploy a full-stack cloud HPC and AI platform, achieving speeds 10X-20X faster than traditional methods.

Meta

Category
Modeling & Simulation
Field(s)
Modeling & SimulationScientific IT & Integration
Target user(s)
Computational Scientist / ModelerBioinformatician / Data Scientist
Tag(s)
Drug DiscoveryAI