Cadence Accelerates the Sustainability of AI Factories with NVIDIA Omniverse
Cadence is collaborating with NVIDIA to accelerate the sustainability of AI factories (data centers) using digital twins. By integrating NVIDIA Omniverse technologies into Cadence's Reality Digital Twin Platform, they aim to improve data center efficiency and utilization by up to 40%, reducing AI's energy footprint.
The partnership focuses on developing digital twin models for NVIDIA's A100 and H100 GPUs, and GB200 systems, using OpenUSD for standardization. This approach enables precise simulations of performance, resource utilization, and thermal dynamics in data center environments.
The initiative aims to enhance the design, deployment, and operation of AI factories, promoting sustainable computing practices through smart resource management and improved regulatory compliance. By leveraging digital twins, stakeholders can optimize operations, reduce environmental impact, and drive innovation in the data center industry.
Cadence sta collaborando con NVIDIA per accelerare la sostenibilità delle fabbriche di AI (centri di dati) utilizzando i gemelli digitali. Integrando le tecnologie NVIDIA Omniverse nella piattaforma Reality Digital Twin di Cadence, mirano a migliorare l'efficienza e l'utilizzo dei centri di dati fino a 40%, riducendo l'impronta energetica dell'AI.
La partnership si concentra sullo sviluppo di modelli di gemelli digitali per le GPU A100 e H100 di NVIDIA, e i sistemi GB200, utilizzando OpenUSD per la standardizzazione. Questo approccio consente simulazioni precise delle prestazioni, dell'utilizzo delle risorse e della dinamica termica negli ambienti dei centri di dati.
L'iniziativa mira a migliorare il design, il dispiegamento e l'operatività delle fabbriche di AI, promuovendo pratiche di calcolo sostenibile attraverso una gestione intelligente delle risorse e un miglioramento della conformità normativa. Sfruttando i gemelli digitali, le parti interessate possono ottimizzare le operazioni, ridurre l'impatto ambientale e stimolare l'innovazione nel settore dei centri di dati.
Cadence está colaborando con NVIDIA para acelerar la sostenibilidad de las fábricas de IA (centros de datos) utilizando gemelos digitales. Al integrar las tecnologías NVIDIA Omniverse en la plataforma Reality Digital Twin de Cadence, buscan mejorar la eficiencia y la utilización de los centros de datos en hasta un 40%, reduciendo así la huella energética de la IA.
La asociación se centra en desarrollar modelos de gemelos digitales para las GPU A100 y H100 de NVIDIA y los sistemas GB200, utilizando OpenUSD para la estandarización. Este enfoque permite simulaciones precisas del rendimiento, la utilización de recursos y la dinámica térmica en ambientes de centros de datos.
La iniciativa tiene como objetivo mejorar el diseño, la implementación y la operación de las fábricas de IA, promoviendo prácticas de computación sostenibles a través de una gestión inteligente de recursos y una mejor conformidad regulatoria. Al aprovechar los gemelos digitales, las partes interesadas pueden optimizar las operaciones, reducir el impacto ambiental y fomentar la innovación en la industria de los centros de datos.
Cadence는 디지털 트윈을 사용하여 AI 공장(데이터 센터)의 지속 가능성을 가속화하기 위해 NVIDIA와 협력하고 있습니다. Cadence의 Reality Digital Twin 플랫폼에 NVIDIA Omniverse 기술을 통합함으로써, 데이터 센터의 효율성과 활용도를 최대 40%까지 개선하여 AI의 에너지 발자국을 줄이는 것을 목표로 하고 있습니다.
이번 파트너십은 NVIDIA의 A100 및 H100 GPU, GB200 시스템을 위한 디지털 트윈 모델 개발에 초점을 맞추고 있으며, 표준화를 위해 OpenUSD를 사용합니다. 이러한 접근 방식은 데이터 센터 환경에서 성능, 자원 활용도 및 열 역학에 대한 정확한 시뮬레이션을 가능하게 합니다.
이 이니셔티브는 AI 공장의 설계, 배치 및 운영을 개선하여 스마트 자원 관리 및 향상된 규제 준수를 통해 지속 가능한 컴퓨팅 관행을 촉진하는 것을 목표로 합니다. 디지털 트윈을 활용함으로써 이해관계자들은 운영을 최적화하고 환경 영향을 줄이며 데이터 센터 산업에서 혁신을 촉진할 수 있습니다.
Cadence collabore avec NVIDIA pour accélérer la soutenabilité des usines d'IA (centres de données) en utilisant des jumeaux numériques. En intégrant les technologies NVIDIA Omniverse dans la plateforme Reality Digital Twin de Cadence, ils visent à améliorer l'efficacité et l'utilisation des centres de données jusqu'à 40%, réduisant ainsi l'empreinte énergétique de l'IA.
Le partenariat se concentre sur le développement de modèles de jumeaux numériques pour les GPU A100 et H100 de NVIDIA et les systèmes GB200, en utilisant OpenUSD pour la standardisation. Cette approche permet des simulations précises des performances, de l'utilisation des ressources et de la dynamique thermique dans les environnements des centres de données.
L'initiative vise à améliorer le design, le déploiement et l'exploitation des usines d'IA, en promouvant des pratiques de calcul durables grâce à une gestion intelligente des ressources et une meilleure conformité réglementaire. En s'appuyant sur des jumeaux numériques, les parties prenantes peuvent optimiser les opérations, réduire l'impact environnemental et stimuler l'innovation dans l'industrie des centres de données.
Cadence arbeitet mit NVIDIA zusammen, um die Nachhaltigkeit von KI-Fabriken (Rechenzentren) mithilfe von digitalen Zwillingen zu beschleunigen. Durch die Integration der NVIDIA Omniverse-Technologien in die Reality Digital Twin-Plattform von Cadence wollen sie die Effizienz und Auslastung der Rechenzentren um bis zu 40% verbessern und den Energieverbrauch von KI reduzieren.
Die Partnerschaft konzentriert sich auf die Entwicklung digitaler Zwillingsmodelle für die A100- und H100-GPUs von NVIDIA sowie für die GB200-Systeme, wobei OpenUSD zur Standardisierung verwendet wird. Dieser Ansatz ermöglicht präzise Simulationen der Leistung, Ressourcennutzung und thermischen Dynamik in Rechenzentrumsumgebungen.
Die Initiative zielt darauf ab, das Design, die Implementierung und den Betrieb von KI-Fabriken zu verbessern und nachhaltige Praktiken im Computing durch intelligentes Ressourcenmanagement und verbesserte regulatorische Compliance zu fördern. Durch die Nutzung digitaler Zwillinge können Stakeholder den Betrieb optimieren, die Umweltbelastung reduzieren und Innovationen in der Rechenzentrumsbranche vorantreiben.
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NORTHAMPTON, MA / ACCESSWIRE / August 28, 2024 / AI is transforming industries at an unprecedented pace, and the demand for efficient and sustainable data centers, often called "AI factories," has never been greater. With growing concerns about AI's energy consumption, pursuing every available energy-saving technology to accelerate sustainable computing is essential. By bringing digital twins to the design and operation of data centers, Cadence can deliver AI's benefits to society while reducing the power consumption and environmental impact of data centers.
The semiconductor industry has leveraged digital twins to achieve first-time success in delivering exponential growth in complexity and capability. Using digital twins, built on NVIDIA Omniverse technologies, data center operators can improve their efficiency and utilization by up to
Cadence is deepening its collaboration with NVIDIA to accelerate digital twin development for AI factory buildout. By integrating core technologies for OpenUSD (Universal Scene Description) and NVIDIA RTX from the NVIDIA Omniverse platform into Cadence's Reality Digital Twin Platform, Cadence will enable the development of more efficient data center designs, aligning with our commitment to reducing carbon footprints and promoting sustainability.
Enhancing the Design, Deployment, and Operation of AI Factories
The Cadence Reality Digital Twin Platform, powered by NVIDIA Omniverse Cloud APIs and OpenUSD, enhances the design, deployment, and operation of AI factories. Cadence's continued collaboration with NVIDIA enables the ecosystem to leverage advanced computer graphics, generative AI, and simulation capabilities to create and deploy physically accurate, high-fidelity data center digital twins that can be used to accelerate facility design and simulate operational scenarios. The integration of these technologies enables better planning and resource management and provides unique insights that facilitate optimized performance, energy efficiency, and predictive maintenance.
Digital Twin Models for NVIDIA A100 and H100 GPUs and NVIDIA GB200 Systems
To effectively harness digital twins of AI factories, it is essential to develop robust digital twin models for NVIDIA's accelerating computing technologies, including the NVIDIA A100 Tensor Core GPU, NVIDIA H100 Tensor Core GPU, and NVIDIA GB200 NVL72 systems. These digital twin models enable precise simulations of these powerful GPU systems' performance, resource utilization, and thermal dynamics within data center environments. The development of these digital twin models is made possible by OpenUSD, which offers a standardized framework that promotes interoperability and scalability across data ecosystems. By developing on OpenUSD, developers can ensure that their digital twin models are compatible with a wide range of platforms and applications.
To truly capture the benefits of digital twins, Cadence will need a robust library of high-quality models across the ecosystem-including ODMs and critical infrastructure components like cooling.
The Sustainable AI Factory
An AI factory is a modern data center specifically designed to support the deployment and operation of artificial intelligence applications. These factories are characterized by their high-performance computing (HPC) capabilities, which are crucial for processing vast datasets and executing complex algorithms. In an AI factory, advanced hardware, such as NVIDIA GPUs, is integrated with sophisticated software ecosystems to streamline operations and enhance efficiency.
As AI factories grow in prominence, the need for sustainable computing practices becomes even more critical. Integrating advanced technologies such as HPC, machine learning (ML), and real-time analytics can significantly enhance energy efficiency within data centers. Implementing AI-driven solutions allows for more innovative resource management, enabling systems to dynamically adjust to operational demands while minimizing waste. Cadence's collaborative efforts with NVIDIA aim not only to improve the operational effectiveness of AI factories but also to help ensure their environmental impact is mitigated through strategic energy usage and improved regulatory compliance.
Furthermore, by utilizing digital twins, stakeholders can simulate various operational scenarios, thereby predicting potential issues and optimizing resource allocation in a manner that aligns with sustainability goals. This proactive approach enables data center operators to make informed decisions about energy consumption and resource management, helping pave the way for a more sustainable future in technology. As the industry evolves, it is essential to keep sustainable computing at the core of AI factory development as both a responsibility and a competitive advantage.
Building the AI Factories of the Future
Cadence's collaboration with NVIDIA marks a significant step forward in accelerating sustainability and efficiency in AI factories. By leveraging digital twins, businesses can optimize their operations, reduce environmental impact, and drive innovation in the data center industry. The future is promising, and with collective effort and engagement from the broader ecosystem, the full potential of digital twins can be realized, helping benefit society as a whole.
Learn more about the NVIDIA and Cadence partnership to accelerate AI and scientific computing.
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SOURCE: Cadence Design Systems
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