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Rescale Enables Industry Softwares to Achieve Real-Time Engineering Simulations in the Cloud With NVIDIA Omniverse Blueprint

Rescale Enables Industry Softwares to Achieve Real-Time Engineering Simulations in the Cloud With NVIDIA Omniverse Blueprint

Rescale使行业软件能够通过NVIDIA Omniverse Blueprint在云端实现实时工程仿真
PR Newswire ·  13:35

New AI-Powered Solution Accelerates Design Iteration and Feedback, Enabling Real-Time CAE Workflows with GPU-Driven Efficiency

新的人工智能驱动解决方案加速设计迭代和反馈,实现基于gpu驱动的高效实时CAE工作流程

SAN FRANCISCO, Nov. 18, 2024 /PRNewswire/ -- Rescale, the leading cloud high performance computing (HPC) platform for AI-accelerated modeling and simulation, today announced an industry-first collaboration with NVIDIA to bring AI-driven, real-time simulation capabilities to engineers and designers. Integrating Rescale's cloud-native platform with the NVIDIA Omniverse Blueprint for real-time computer-aided engineering digital twins helps set a new industry standard for AI-based CAE acceleration alongside improvement in efficiency, productivity, and speed in design workflows by enabling the rapid creation and deployment of AI-powered digital twins.

旧金山,2024年11月18日 /美通社/ -- Rescale,这个领先的云高性能计算(HPC)平台用于人工智能加速建模和模拟,今天宣布与英伟达进行行业首个合作,将人工智能驱动的实时模拟能力带给工程师和设计师。将Rescale的云原生平台与英伟达Omniverse Blueprint集成,以实现实时计算机辅助工程数字双胞胎,有助于为基于人工智能的CAE加速设立新的行业标准,同时通过实现人工智能驱动数字双胞胎的快速创建和部署,提升设计工作流程的效率、生产力和速度。

This powerful solution combines Rescale AI's advanced capabilities with NVIDIA's accelerated computing technologies, NVIDIA Modulus for pre-trained physics-based surrogate models, NVIDIA-powered application programming interfaces for connecting complex computer-aided engineering (CAE) workflows, NVIDIA NIM microservices for accelerated deployment and real-time inferencing, and NVIDIA Omniverse APIs for interactive visualization.

这个强大的解决方案结合了Rescale AI的爱文思控股能力与英伟达的加速计算技术、用于预训练物理模型的英伟达Modulus、用于连接复杂计算机辅助工程(CAE)工作流程的英伟达驱动应用程序接口、用于加速部署和实时推理的英伟达NIm微服务,以及用于交互式可视化的英伟达Omniverse API。

Real-time Simulation Capabilities are Now Available for Engineers and Designers Through NVIDIA Omniverse on Rescale

通过英伟达Omniverse,工程师和设计师现在可以获得实时模拟能力,使用Rescale

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"The NVIDIA Omniverse Blueprint on Rescale enables Intelligent Energy to tackle complex challenges in hydrogen fuel cell development. By reducing complex simulation times from 24 hours to mere milliseconds and preprocessing times from 8 hours down to milliseconds, Rescale's platform transforms our design process, enabling engineers to receive real-time feedback and significantly accelerating the delivery of next-generation solutions," said Novid Beheshti, Engineering Specialist CAE at Intelligent Energy. "We see this AI-based CAE approach as a game-changer for optimizing our modeling and simulation workflows and a key enabler for improving the efficiency of our R&D efforts."

"英伟达Omniverse Blueprint在Rescale上使智能能源能够应对氢燃料电池开发中的复杂挑战。通过将复杂的模拟时间从24小时缩短到几毫秒,以及将预处理时间从8小时降至毫秒,Rescale的平台改变了我们的设计流程,使工程师能够获得实时反馈,并显著加速下一代解决方案的交付。"智能能源的工程专员Novid Beheshti表示。"我们认为这种基于人工智能的CAE方法将是优化我们的建模和模拟工作流程的游戏规则改变者,并且是提高我们研发效率的关键推动者。"

Leveraging Rescale's open-architecture high performance computing cloud platform, engineers can run any CAE application on any cloud provider to generate synthetic design data and train AI models, creating AI-powered digital twins that provide real-time feedback and reduce design iteration cycles.

利用Rescale的开放架构高性能计算云平台,工程师可以在任何云服务提供商上运行任何CAE应用程序,以生成合成设计数据并训练人工智能模型,从而创建能够提供实时反馈并减少设计迭代周期的人工智能驱动数字双胞胎。

Training AI models on Rescale is simple, turning every simulation engineer into a data scientist. First, engineers can run simulations used as training data, which is automatically processed and structured for model training. Next, they can use Rescale's built-in AI training framework powered by NVIDIA Modulus. Finally, models can be trained and published directly to the Rescale AI Model Library, where they are readily accessible for immediate use in simulations across teams.

在Rescale上训练人工智能模型非常简单,使每位仿真工程师都能成为数据科学家。首先,工程师可以运行用作训练数据的仿真,这些仿真会自动处理并为模型训练结构化。接下来,他们可以使用Rescale内置的由英伟达Modulus提供支持的人工智能训练框架。最后,模型可以直接训练并发布到Rescale人工智能模型库,团队可以立即在仿真中使用这些模型。

NVIDIA Omniverse, a development platform for real-time data interoperability and physically based visualization, is embedded into Rescale AI, minimizing data movement during model creation and allowing engineers to visualize their AI simulations instantly. This enables the rapid creation of innovations like an AI-powered wind tunnel, with the model trained in a week instead of the typical months of back-and-forth between data science teams, making instant feedback loops and continuous design improvements possible.

英伟达Omniverse,一个实时数据互操作性和基于物理的可视化开发平台,嵌入了Rescale人工智能中,最小化了模型创建过程中的数据移动,使工程师能够即时可视化他们的人工智能仿真。这使得像人工智能驱动的风洞这种创新的快速创建成为可能,模型在一周内完成训练,而不是通常的数据科学团队之间往返几个月的时间,从而实现即时反馈循环和持续设计改进。

"This collaboration represents a major leap forward in CAE, pushing the boundaries of what's possible in real-time simulation," said Joris Poort, CEO of Rescale. "Through leveraging NVIDIA's advanced GPU technologies, CUDA-X libraries, Modulus, the NVIDIA Warp developer framework, NIM microservices, and Omniverse, combined with Rescale's high performance compute cloud platform, industry-leading R&D application catalog, and suite of Rescale Data and Rescale AI capabilities, we're enabling engineers and designers to create, test, and iterate designs faster than ever before. This real-time feedback loop empowers teams to make smarter decisions and drive innovation in product development with unprecedented efficiency. Looking ahead, combining AI simulation with AI-enabled agents will provide real-time multi-disciplinary product development feedback, creating a unified engineering ecosystem where human ingenuity and AI come together to achieve highly optimal designs."

“这一合作代表了CAE领域的一次重大飞跃,推动了实时仿真的可能性极限,”Rescale的首席执行官Joris Poort表示。“通过利用英伟达的先进gpu芯片-云计算技术、CUDA-X库、Modulus、英伟达Warp开发者框架、NIm微服务和Omniverse,再加上Rescale的高性能计算云平台、行业领先的研发应用目录以及Rescale数据和Rescale人工智能能力套件,我们使工程师和设计师能够比以往更快地创建、测试和迭代设计。这一实时反馈循环使团队能够做出更明智的决策,并以空前的效率推动产品开发中的创新。展望未来,将人工智能仿真与人工智能驱动的代理结合起来,将提供实时的多学科产品开发反馈,创造一个统一的工程生态系统,人类的创造力与人工智能融汇在一起,以实现高度优化的设计。”

"Our collaboration with Rescale brings scalable cloud resources to help unlock the potential of real-time simulation in the engineering and design space," said Tim Costa, senior director of CAE, electronic design automation, and quantum at NVIDIA. "This ability to achieve near-instantaneous feedback on design changes makes complex workflows more intuitive and accessible — marking a milestone in AI-powered engineering."

加特纳的CAE、电子设计自动化和量子高级董事tim costa表示:“我们与Rescale的合作提供了可扩展的云资源,以帮助释放工程和设计领域实时模拟的潜力。能够对设计更改实现近乎即时的反馈,使复杂的工作流程变得更加直观和易于访问——标志着人工智能驱动工程的一个里程碑。”

Key Features and Benefits:

关键功能和优点:

  • Real-time Physics Simulation: GPU-accelerated computing reduces design iteration cycles from hours to seconds, enabling faster insights with each simulation cycle and reducing median time to market by more than 30%.
  • Interactive Visualization: With NVIDIA Omniverse API integration, engineers can achieve up to 60% productivity gains by visualizing, modifying, and iterating on designs instantly, rather than having to download large result files, ultimately leading to faster decision-making.
  • AI-Powered Models: Rescale AI, powered by NVIDIA Modulus, automates model development and fine-tuning, accelerating AI model training time 5x, while continuously fine-tuning model accuracy from real simulation data. These AI models can be used for a variety of applications, including design optimization, predictive maintenance, and solver initialization, to accelerate existing simulation workflows.
  • Scalable Cloud Resources: Rescale's cloud-native platform provides the necessary scalability while reducing infrastructure costs by 43% when compared to on-premises computing resources.
  • 实时物理模拟:gpu加速计算将设计迭代周期从几个小时缩短到几秒钟,使每次模拟周期能够更快速地获得见解,并将产品上市的中位时间缩短超过30%。
  • 交互式可视化:通过与NVIDIA Omniverse API的集成,工程师可以通过即时可视化、修改和迭代设计,实现高达60%的生产力提升,而不必下载大型结果文件,从而最终加快决策速度。
  • 人工智能驱动模型:Rescale AI由NVIDIA Modulus驱动,自动化模型开发和微调,加速人工智能模型训练时间5倍,同时不断优化模型的准确性,基于真实的模拟数据。这些人工智能模型可以用于多种应用,包括设计优化、预测性维护和求解器初始化,以加速现有的模拟工作流程。
  • 可扩展的云资源:Rescale的云原生平台提供必要的可扩展性,同时与本地计算资源相比,基础设施成本降低了43%。

This innovation is poised to benefit industries that rely heavily on complex simulations, such as automotive, aerospace and security, energy, life sciences, semiconductor, and diversified manufacturing, by significantly reducing time to market, cutting costs, and increasing design accuracy.

这一创新将使依赖复杂模拟的行业受益,例如汽车、航空航天和安防、能源、生命科学、半导体和多元化制造,显著缩短上市时间、降低成本并提高设计准确性。

With this announcement, Rescale is setting a new benchmark for what's possible in engineering and design in the cloud. The Omniverse Blueprint's real-time simulation capabilities and ease of creating AI-powered models, paired with Rescale AI, are poised to revolutionize how engineers approach CAE, enabling faster, smarter design processes for industries across the globe.

通过此次公告,Rescale正在为云中的工程和设计设定新的标杆。Omniverse Blueprint的实时模拟能力和创建人工智能驱动模型的便利性,搭配Rescale AI,注定将彻底改变工程师如何处理CAE,促进全球各行业更快速、更智能的设计过程。

About Rescale

关于Rescale

Rescale's AI-powered cloud high performance computing (HPC) platform makes accelerating innovation possible for any organization. Innovators use Rescale to provide modeling & simulation teams with the industry leading library of over 1000 fully managed R&D software applications and 100s of performance-driven computing architectures, robust data security, intelligent controls, and advanced tools for data management and AI-assisted engineering. Leveraged by a majority of Fortune 500 companies to accelerate time to market, Rescale has been recognized by Gartner as a Cool Vendor for Cloud Infrastructure, by Deloitte as a Technology Fast 500 company, and by the World Economic Forum as a Global Innovator Unicorn. Learn more at rescale.com.

Rescale的人工智能驱动云高性能计算(HPC)平台使任何组织都能加快创新。创新者使用Rescale为建模与仿真团队提供业界领先的超过1000个完全托管的研发软件应用程序和数百种以性能为驱动的计算架构,强大的数据安全性,智能控制,以及爱文思控股的数据管理和人工智能辅助工程的先进工具。大多数《财富》500强公司依赖Rescale来加速产品上市时间,Rescale被加特纳评为云基础建设的Cool Vendor,被德勤评为科技快500公司,并被世界经济论坛评为全球创新独角兽。更多信息请访问rescale.com。

SOURCE Rescale Inc.

来源 Rescale Inc.

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