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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使行業軟件能夠通過NVIDIA Omniverse Blueprint在雲端實現實時工程仿真
PR Newswire ·  13:35

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

新的 AI 驅動解決方案加速了設計迭代和反饋,以 GPU 驅動的效率實現實時 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.

舊金山,2024年11月18日 /PRNewswire/ — 領先的人工智能加速建模和仿真雲高性能計算(HPC)平台Rescale今天宣佈與NVIDIA進行業界首次合作,爲工程師和設計師提供人工智能驅動的實時仿真功能。將Rescale的雲原生平台與用於實時計算機輔助工程數字雙胞胎的NVIDIA Omniverse Blueprint相集成,有助於爲基於人工智能的CAE加速樹立新的行業標準,同時通過支持快速創建和部署人工智能驅動的數字雙胞胎來提高設計工作流程的效率、生產力和速度。

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.

這一強大的解決方案將 Rescale AI 的高級功能與 NVIDIA 的加速計算技術、用於預訓練的基於物理的代理模型的 NVIDIA Modulus、用於連接複雜計算機輔助工程 (CAE) 工作流程的 NVIDIA 驅動的應用程序編程接口、用於加速部署和實時推理的 NVIDIA NiM 微服務以及用於交互式可視化的 NVIDIA Omniverse API 相結合。

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

現在,工程師和設計人員可通過 Rescale 上的 NVIDIA Omniverse 獲得實時仿真功能

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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."

「基於Rescale的NVIDIA Omniverse藍圖使智能能源能夠應對氫燃料電池開發中的複雜挑戰。通過將複雜的仿真時間從24小時縮短到幾毫秒,將預處理時間從8小時縮短到幾毫秒,Rescale的平台改變了我們的設計流程,使工程師能夠獲得實時反饋,並顯著加快下一代解決方案的交付。」 智能能源CAE工程專家諾維德·貝赫什蒂說。「我們認爲這種基於人工智能的CAE方法改變了我們優化建模和仿真工作流程的遊戲規則,也是提高研發工作效率的關鍵推動力。」

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 的開放架構高性能計算雲平台,工程師可以在任何雲提供商上運行任何 CAE 應用程序,以生成合成設計數據和訓練 AI 模型,創建人工智能驅動的數字雙胞胎,提供實時反饋並縮短設計迭代週期。

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 上訓練 AI 模型很簡單,可以將每位仿真工程師變成數據科學家。首先,工程師可以運行用作訓練數據的仿真,這些數據會自動處理和結構化以進行模型訓練。接下來,他們可以使用由 NVIDIA Modulus 提供支持的 Rescale 內置的人工智能訓練框架。最後,可以訓練模型並將其直接發佈到Rescale AI模型庫,在那裏可以隨時訪問它們,以便在跨團隊的仿真中立即使用。

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.

NVIDIA Omniverse 是一個用於實時數據互操作性和基於物理的可視化的開發平台,已嵌入到 Rescale AI 中,從而最大限度地減少了模型創建期間的數據移動,並允許工程師即時可視化他們的 AI 模擬。這使得快速創建諸如人工智能驅動的風洞之類的創新,模型在一週內訓練,而不是數據科學團隊之間通常需要幾個月的來回交流,從而使即時反饋循環和持續的設計改進成爲可能。

"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."

Rescale首席執行官喬里斯·普爾特表示:「這種合作代表了CAE的重大飛躍,突破了實時仿真的可能性界限。」「通過利用NVIDIA的先進GPU技術、CUDA-X庫、Modulus、NVIDIA Warp開發者框架、NiM微服務和Omniverse,再加上Rescale的高性能計算雲平台、行業領先的研發應用程序目錄以及Rescale Data和Rescale AI功能套件,我們使工程師和設計師能夠比以往更快地創建、測試和迭代設計。這種實時反饋迴路使團隊能夠做出更明智的決策,並以前所未有的效率推動產品開發創新。展望未來,將人工智能仿真與支持人工智能的代理相結合,將提供實時的多學科產品開發反饋,從而創建一個統一的工程生態系統,人類的聰明才智和人工智能融爲一體,實現高度優化的設計。」

"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."

NVIDIA CAE、電子設計自動化和量子高級董事蒂姆·科斯塔表示:「我們與 Rescale 的合作帶來了可擴展的雲資源,有助於釋放工程和設計領域實時仿真的潛力。」「這種近乎即時地獲得設計變更反饋的能力使複雜的工作流程更加直觀和易於訪問——這標誌着人工智能驅動的工程的一個里程碑。」

Key Features and Benefits:

主要特點和優點:

  • 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.
  • 實時物理模擬:GPU 加速計算將設計迭代週期從幾小時縮短到幾秒,從而能夠更快地獲得每個仿真週期的見解,並將上市時間中位數縮短了 30% 以上。
  • 交互式可視化:藉助 NVIDIA Omniverse API 集成,工程師可以通過即時對設計進行可視化、修改和迭代來提高高達 60% 的生產力,而不必下載大型結果文件,最終加快決策速度。
  • 人工智能驅動的模型:由 NVIDIA Modulus 提供支持的 Rescale AI 可自動進行模型開發和微調,將 AI 模型訓練時間縮短 5 倍,同時根據真實仿真數據持續微調模型精度。這些 AI 模型可用於各種應用程序,包括設計優化、預測性維護和求解器初始化,以加速現有仿真工作流程。
  • 可擴展的雲資源:與本地計算資源相比,Rescale的雲原生平台提供了必要的可擴展性,同時將基礎設施成本降低了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.

通過顯著縮短上市時間、削減成本和提高設計精度,這項創新有望使嚴重依賴複雜仿真的行業受益,例如汽車、航空航天和安全、能源、生命科學、半導體和多元化製造。

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.

通過此次公告,Rescale爲雲端工程和設計的可能性設定了新的基準。Omniverse Blueprint的實時仿真功能和易於創建基於人工智能的模型,再加上Rescale AI,有望徹底改變工程師處理CAE的方式,爲全球各行業提供更快、更智能的設計流程。

About Rescale

關於 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 的人工智能驅動的雲高性能計算 (HPC) 平台使任何組織都能加速創新。創新者使用Rescale爲建模和仿真團隊提供業界領先的庫,其中包含1000多個完全託管的研發軟件應用程序和100多個性能驅動的計算架構、強大的數據安全性、智能控制以及用於數據管理和人工智能輔助工程的高級工具。Rescale被大多數《財富》500強公司利用來縮短上市時間,被Gartner評爲雲基礎設施的優秀供應商,被德勤評爲高科技高成長500強公司,並被世界經濟論壇評爲全球創新者獨角獸。在 rescale.com 上了解更多信息。

SOURCE Rescale Inc.

來源 Rescale Inc.

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