数字孪生

利用 OpenUSD 和加速计算的强大功能,开发和运营工业规模的数字孪生。

行业数字化和科学发现转型

如今,许多企业都在借助部署于 NVIDIA OVX™ 之上的 NVIDIA Omniverse™ CloudNVIDIA Omniverse Enterprise 的强大功能,开发和运行物理精准且由 AI 支持的数字孪生。通过这种方式,他们可以在投入生产之前,灵活而实时地对产品、设备及流程进行设计、仿真和优化。

 
nvidia-omniverse-digital-twins-explanation-1cCW-D@2x

精选 Omniverse 数字孪生

了解利用 NVIDIA Omniverse Enterprise 构建大规模数字孪生的创新者。

Lowe’s

重塑家居装饰零售业

Lowe's 是大型家居装饰零售商之一,正在采用仿真和数字孪生技术来改善店铺布局、优化商品销售并提高员工工作效率。

Deutsche Bahn

更大限度地提高铁路运力并减少碳足迹

为了达成到 2050 年实现气候中和的目标,德国国家铁路运营商 Deutsche Bahn 正在构建自动驾驶铁路网络和列车,旨在更大限度地提高现有铁路运力在客运和货运的效率。

数字孪生助力电信网络规划和运营

HEAVY.AI

数字孪生助力电信网络规划和运营

借助开放的专有数据集(包括散布在数十亿个点的激光雷达扫描、卫星图像、环境和客户体验数据),HeavyRF 可帮助电信公司构建现实世界的逼真数字孪生,并查看网络覆盖范围,以及城市乃至国家/地区范围内需要关注的区域。

数字孪生的优势

只有在数字孪生仿真满足特定要求的情况下,才能进行准确且值得信赖的虚拟测试、实验和优化。

m48-interapp-workflow

为所有虚拟数据集提供单一事实来源

m48-physics-physx

物理精准且遵从物理定律

m48-true-real-time

精准计时且完全与现实同步

m48-neural-network-3

通过 AI 优化并实现 AI 训练

The Conference for the Era of AI and the Metaverse

Developer Conference March 20-23 | Keynote March 21

Don't miss these three upcoming digital twins sessions at GTC.

Building a Digital Twin of the German Rail Network to Deliver Next-Generation Railway Systems

Designing and implementing a large-scale digital twin that's comprised of thousands of kilometers of railway tracks, manifold infrastructure elements, and their direct neighborhood can be challenging. We'll show how we're tackling this challenge step-by-step, starting from exporting the HD map data we acquired from measurement drives to Omniverse down to the perception tasks inside the digital twin environment.

Driving the Future of Smart Factories With Cloud-enabled Digital Twins

The future smart factory is based on Industry5.0, which is adding concepts such as human-centric (helping workers with technology) and resilient (lead time reduction) to the extension of the 4th industrial revolution.

Creating Digital Twins and Simulations of Industrial Robotic Workcells for Smart Factories

RIOS designs, tests, and implements advanced AI-powered robots-as-a-service (RaaS) work cells to enable the smart factory of the future. The extreme diversity in the manufacturing industry often means a one-size-fits-all solution doesn't exist in commodity robotics; instead, customers require bespoke hardware and software to solve their challenges.

Catch all the inspiring GTC sessions on-demand.

The Developer Conference for the Era of AI and the Metaverse

Discover how business leaders are accelerating time-to-production and reducing costs with digital twins.

  • The Opportunity of the Industrial Metaverse

    • Dean Takahashi, Lead Writer, Venture Beat
    • Tony Hemmelgarn, CEO, Siemens Digital Industries Software
    • Peggy Johnson, CEO, Magic Leap
    • Rev Lebaredian, VP Simulation Technology and Omniverse Engineering, NVIDIA
    • Matthew Ball, CEO, Epyllion
    • Inga von Bibra, CIO Research & Development, Mercedes-Benz AG

    At the exact moment digital transformation needed to be accelerated, technological evolutions in AI and large scale virtual world simulation are coming together to enable the Industrial Metaverse. Hear this panel of distinguished technical leaders and industry luminaries speak on how the 3D evolution of the internet is ushering in a new era of industrial opportunity with a new class of digital twins.

    View Details >

  • Making Production More Sustainable with the Industrial Metaverse

    • Cedric Neike, Member of the Managing Board of Siemens AG and CEO Digital Industries, Siemens AG

    Industries worldwide face countless challenges and obstacles, such as making production more efficient and sustainable, or overcoming supply-chain interruptions. The good news is that we have the technologies to solve global challenges, but we need to implement them quickly and at scale! No company or country can do this alone. Instead, we need to work in ecosystems. For over a decade, the Siemens digital twin technology has been helping companies across all industries boost their productivity, efficiency, and sustainability. Siemens and NVIDIA are now driving the digital transformation further by partnering to enable the industrial metaverse: photorealistic, physics-based digital twins offer enormous potential to transform our economies and industries by providing a virtual world where people can interact and collaborate to solve real-world problems.

    View Details >

  • Lowe’s Builds the Fully Digitized World

    • Cheryl Friedman, Vice President, Lowe’s Innovation Labs, Lowe's
    • Mason Sheffield,  Director of Creative Technology, Lowe’s Innovation Labs,  Lowe's

    Join this session to learn how FORTUNE 50 retailer Lowe's is digitizing the built world of home improvement. From our products to our stores to our customers’ homes, Lowe's is using digital twins to create new possibilities. Whether helping customers visualize the result of their room redesign or running simulations to optimize the layout of each store, Lowe’s advancements are removing friction from home improvement.

    View Details >

  • How to Build a Digital Twin: Full Design Fidelity Visualization & Aggregation of 3D Data

    • Brian Harrison, Director, Software Product Management, NVIDIA

    Start learning how to build a digital twin in NVIDIA Omniverse. Building a digital twin is a complex process and there are multiple ways to get started. In this session, we walk through a generalized example of one of the most common challenges in large scale design and digital twin projects—being able to aggregate disparate 3D datasets (ie. CAD, design, animation, or simulation) from many software ecosystems, and visualize them in full-design-fidelity with no data loss or model decimation. Learn how NVIDIA Omniverse’s connected and collaborative Universal Scene Description-based workflows can help unite and unlock your data and see examples of Omniverse Connectors and understand what questions to ask to determine which are best for your workflow. Be sure to check out "How to Build a Digital Twin: Bringing in Robotics" as a follow-up session.

    View Details > 

  • Customer-Driven Grocery Enabled by NVIDIA AI at Kroger

    • Azita Martin, VP & GM Artificial Intelligence for Retail and CPG, NVIDIA
    • Wesley Rhodes, VP of Technology Transformation and R&D, Kroger

    Kroger and NVIDIA embarked on a strategic collaboration earlier this year to re-imagine the shopping experience using AI-enabled applications and services. Join Wes Rhodes, Kroger’s VP of technology transformation and R&D, for a fireside chat on the progress his team has made in the fields of digital twin, AI, and Omniverse Avatar. These technologies and more are being adopted at Kroger in the service of improving customer focus experience while delivering value to Kroger’s bottom line.

    View Details >

gtc22-fall-web-talk-promo-blade-3kv-2c50-d@2x

NVIDIA 和西门子扩大合作,打造自主工厂

西门子使用搭载 NVIDIA Metropolis 的新款 NVIDIA IGX 平台,为安全可靠的工业边缘 AI 提供高级感知。

使用 Universal Scene Description (USD) 构建开放元宇宙

NVIDIA 与合作伙伴携手构建 USD (Universal Scene Description),加速工业元宇宙和下一波 AI 浪潮。

俄勒冈州立大学将接收 NVIDIA DGX SuperPOD 和 OVX SuperPOD 集群

Jen-Hsun 与 Lori Huang 联合创新中心将安装足以训练大型 AI 模型和执行复杂数字孪生仿真的强大超级计算机。

Siemens and NVIDIA Partner to Build Industrial Metaverse

Connecting the Siemens Xcelerator ecosystem with NVIDIA Omniverse’s AI-enabled, physically accurate simulation engine enables a new era of industrial automation.

查看数字孪生的实际应用

各行各业和各学科的公司预计,大规模实时数字孪生将带来更高水平的运营效率。从工业到科学计算用例,了解 Omniverse 和 NVIDIA 技术如何开启预测分析和创新自动化的新时代。

  • 汽车
  • 能源
  • 基础架构
  • 零售
  • 科学与研究

NVIDIA

快速追踪工业工厂规划

WPP

腾势

部署新一代 3D 汽车配置器

宝马集团

面向工厂规划人员开发自定义应用

英国原子能管理局

加速聚变反应堆的设计和开发

西门子能源

减少宕机时间和计划外维护

西门子歌美飒

优化风电场设计和发电

HEAVY.AI

变革电信网络规划和运营

Deutsche Bahn

模拟和优化自动驾驶铁路网络

爱立信

测试和优化 5G 部署

Amazon Robotics

训练自主仓储机器人

Lowe’s

重塑家居装饰零售业

百事公司

优化配送中心吞吐量

NVIDIA

加速碳捕获和存储

Earth - 2 数据:DKRZ/ MPI - M,ICON 模型

Cesium

可视化全球规模的气候数据

Lockheed Martin 和 NVIDIA

加速气候研究

公告

梅赛德斯-奔驰采用数字化优先的汽车生产方法

梅赛德斯-奔驰利用 Omniverse 在设施设计、规划和运营中实现数字孪生。

公告

Pixar、Adobe、Apple、Autodesk 和 NVIDIA 成立 OpenUSD 联盟

OpenUSD 联盟(AOUSD)的使命是推动 Pixar 的通用场景描述(OpenUSD)技术实现标准化,并不断发展进步。

公告

腾 势与 WPP 合作,在 NVIDIA Omniverse Cloud 上构建和部署新一代汽车配置器

新能源豪华汽车制造商运用 NVIDIA 生成式 AI 实现打造汽车配置器、营销飞跃等目标

公告

全球数据中心系统制造商助力生成式 AI 和工业数字化

配备 NVIDIA L40S GPU 的新型 OVX 服务器具备突破性多工作负载性能,将强大的 AI 计算与一流的图形和媒体加速集于一身。

公告

NVIDIA Omniverse 开启 通往 OpenUSD 广阔世界的大门

新 Omniverse Cloud API(例如用于使用 USD 进行对话的 ChatUSD LLM 以及用于将 USD 转换为图像的 RunUSD)可帮助开发者轻松采用通用场景描述(OpenUSD)技术。

NVIDIA OVX

Omniverse Computing System for Developing and Operating Industrial Digital Twins

适用于数字孪生的 NVIDIA 解决方案

NVIDIA Omniverse Enterprise

NVIDIA Omniverse Enterprise

编排 3D 数据流水线,以设计、开发和可视化数字孪生和大规模虚拟仿真环境

NVIDIA Isaac Sim

NVIDIA Isaac Sim

借助可扩展的机器人仿真和合成数据生成,为物理属性准确的逼真虚拟环境提供支持。

NVIDIA OVX

NVIDIA OVX

使用专用系统大规模助力数字生和复杂的模拟工作负载。

NVIDIA IGX

NVIDIA IGX

安全可靠地提供 AI,以支持人类和机器协作。

Omniverse Cloud

NVIDIA Omniverse Cloud 是一个云服务平台,用于开发、部署和管理高级 3D 应用和工作流程。 

资源

开始使用

阅读我们的“5 步上手构建数字孪生”电子书探索示范用例或联系 Omniverse 专员。

电子书

5步上手构建数字孪生

点播会议

观看“如何构建数字生”GTC 系列

免费试用

免费试用 Omniverse Enterprise

资源

开始构建数字孪生

构建全设计保真度数字孪生需要使用多个基础模组。为开启旅程,请阅读我们“5 步上手构建数字孪生”电子书、探索示例用例联系 Omniverse 专员

电子书

5 步上手构建数字孪生

阅读“5 步上手构建数字孪生”电子书,了解 Omniverse 客户学到的关键经验教训,这些经验教训将助您成功开启旅程。

点播会议

观看“如何构建数字孪生”GTC 系列

向 NVIDIA 专家学习,他们将引导您完成关于如何开始构建数字孪生(包括聚合和模拟全设计保真度的 3D 数据集,以及导入和训练机器人)的多个系列教程。

免费试用

免费试用 Omniverse Enterprise

在两周内体验部署在 NVIDIA 认证系统 上的端到端 Omniverse Enterprise 试用版,或在自己的基础设施上免费下载并部署 Omniverse Enterprise 软件。

联系 Omniverse 专员。