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
New AI-Powered Solution Accelerates Design Iteration and Feedback, Enabling Real-Time CAE Workflows with GPU-Driven Efficiency
新的人工智能驅動解決方案加速設計迭代和反饋,實現基於gpu驅動的高效實時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 /美通社/ -- Rescale,這個領先的雲高性能計算(HPC)平台用於人工智能加速建模和模擬,今天宣佈與英偉達進行行業首個合作,將人工智能驅動的實時模擬能力帶給工程師和設計師。將Rescale的雲原生平台與英偉達Omniverse Blueprint集成,以實現實時計算機輔助工程數字雙胞胎,有助於爲基於人工智能的CAE加速設立新的行業標準,同時通過實現人工智能驅動數字雙胞胎的快速創建和部署,提升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.
這個強大的解決方案結合了Rescale AI的愛文思控股能力與英偉達的加速計算技術、用於預訓練物理模型的英偉達Modulus、用於連接複雜計算機輔助工程(CAE)工作流程的英偉達驅動應用程序接口、用於加速部署和實時推理的英偉達NIm微服務,以及用於交互式可視化的英偉達Omniverse API。
Real-time Simulation Capabilities are Now Available for Engineers and Designers Through NVIDIA Omniverse on Rescale
通過英偉達Omniverse,工程師和設計師現在可以獲得實時模擬能力,使用Rescale
"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."
"英偉達Omniverse Blueprint在Rescale上使智能能源能夠應對氫燃料電池開發中的複雜挑戰。通過將複雜的模擬時間從24小時縮短到幾毫秒,以及將預處理時間從8小時降至毫秒,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,並顯著加速下一代解決方案的交付。"智能能源的工程專員Novid Beheshti表示。"我們認爲這種基於人工智能的CAE方法將是優化我們的建模和模擬工作流程的遊戲規則改變者,並且是提高我們研發效率的關鍵推動者。"
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的開放架構高性能計算雲平台,工程師可以在任何雲服務提供商上運行任何CAE應用程序,以生成合成設計數據並訓練人工智能模型,從而創建能夠提供實時反饋並減少設計迭代週期的人工智能驅動數字雙胞胎。
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上訓練人工智能模型非常簡單,使每位仿真工程師都能成爲數據科學家。首先,工程師可以運行用作訓練數據的仿真,這些仿真會自動處理併爲模型訓練結構化。接下來,他們可以使用Rescale內置的由英偉達Modulus提供支持的人工智能訓練框架。最後,模型可以直接訓練併發布到Rescale人工智能模型庫,團隊可以立即在仿真中使用這些模型。
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.
英偉達Omniverse,一個實時數據互操作性和基於物理的可視化開發平台,嵌入了Rescale人工智能中,最小化了模型創建過程中的數據移動,使工程師能夠即時可視化他們的人工智能仿真。這使得像人工智能驅動的風洞這種創新的快速創建成爲可能,模型在一週內完成訓練,而不是通常的數據科學團隊之間往返幾個月的時間,從而實現即時反饋循環和持續設計改進。
"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."
「這一合作代表了CAE領域的一次重大飛躍,推動了實時仿真的可能性極限,」Rescale的首席執行官Joris Poort表示。「通過利用英偉達的先進gpu芯片-雲計算技術、CUDA-X庫、Modulus、英偉達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目錄以及Rescale數據和Rescale人工智能能力套件,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。這一實時反饋循環使團隊能夠做出更明智的決策,並以空前的效率推動產品開發中的創新。展望未來,將人工智能仿真與人工智能驅動的代理結合起來,將提供實時的多學科產品開發反饋,創造一個統一的工程生態系統,人類的創造力與人工智能融匯在一起,以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."
加特納的CAE、電子設計自動化和量子高級董事tim costa表示:「我們與Rescale的合作提供了可擴展的雲資源,以幫助釋放工程和設計領域實時模擬的潛力。能夠對設計更改實現近乎即時的反饋,使複雜的工作流程變得更加直觀和易於訪問——標誌着人工智能驅動工程的一個里程碑。」
Key Features and Benefits:
關鍵功能和優點:
- 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個小時縮短到幾秒鐘,使每次模擬週期能夠更快速地獲得見解,並將產品上市的中位時間縮短超過30%。
- 交互式可視化:通過與NVIDIA Omniverse API的集成,工程師可以通過即時可視化、修改和迭代設計,實現高達60%的生產力提升,而不必下載大型結果文件,從而最終加快決策速度。
- 人工智能驅動模型:Rescale AI由NVIDIA Modulus驅動,自動化模型開發和微調,加速人工智能模型訓練時間5倍,同時不斷優化模型的準確性,基於真實的模擬數據。這些人工智能模型可以用於多種應用,包括設計優化、預測性維護和求解器初始化,以加速現有的模擬工作流程。
- 可擴展的雲資源:Rescale的雲原生平台提供必要的可擴展性,同時與本地計算資源相比,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.
這一創新將使依賴複雜模擬的行業受益,例如汽車、航空航天和安防、能源、生命科學、半導體和多元化製造,顯著縮短上市時間、降低成本並提高設計準確性。
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.
通過此次公告,Rescale正在爲雲中的工程和設計設定新的標杆。Omniverse Blueprint的實時模擬能力和創建人工智能驅動模型的便利性,搭配Rescale AI,註定將徹底改變工程師如何處理CAE,促進全球各行業更快速、更智能的設計過程。
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的人工智能驅動雲高性能計算(HPC)平台使任何組織都能加快創新。創新者使用Rescale爲建模與仿真團隊提供業界領先的超過1000個完全託管的研發軟件應用程序和數百種以性能爲驅動的計算架構,強大的數據安全性,智能控制,以及愛文思控股的數據管理和人工智能輔助工程的先進工具。大多數《財富》500強公司依賴Rescale來加速產品上市時間,Rescale被加特納評爲雲基礎建設的Cool Vendor,被德勤評爲科技快500公司,並被世界經濟論壇評爲全球創新獨角獸。更多信息請訪問rescale.com。
SOURCE Rescale Inc.
來源 Rescale Inc.
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