Uber Teams Up With NVIDIA to Accelerate Autonomous Mobility
Uber Teams Up With NVIDIA to Accelerate Autonomous Mobility
Joint initiative will leverage NVIDIA's new Cosmos platform and DGX Cloud to boost autonomous development
这一联合倡议将利用英伟达的新阿童木平台和DGX Cloud来推动自主开发
SAN FRANCISCO--(BUSINESS WIRE)--Uber Technologies, Inc. (NYSE: UBER) and NVIDIA announced they are collaborating on new solutions to support the development of AI-powered autonomous driving technology.
旧金山--(商业资讯)--优步科技公司(纽交所:UBER)与英伟达宣布,他们正在合作开发支持人工智能驱动的自动驾驶科技的新解决方案。
"Generative AI will power the future of mobility, requiring both rich data and very powerful compute," said Dara Khosrowshahi, CEO of Uber. "By working with NVIDIA, we are confident that we can help supercharge the timeline for safe and scalable autonomous driving solutions for the industry."
“生成性人工智能将推动未来的出行,这需要丰富的数据和非常强大的计算能力,”优步首席执行官达拉·科斯罗沙希表示。“通过与英伟达合作,我们有信心能够加速行业安全且可扩展的自动驾驶解决方案的时间表。”
Millions of trips occur every day on Uber, representing a vast and rich source of data that the companies will look to pair with the NVIDIA Cosmos platform and NVIDIA DGX Cloud to help AV partners build stronger AI models even more efficiently.
每天在优步上进行数百万次出行,代表着一个庞大而丰富的数据源,双方将努力将其与英伟达阿童木平台和英伟达DGX Cloud结合,以帮助自动驾驶合作伙伴更高效地构建更强大的人工智能模型。
NVIDIA Cosmos is a new platform of state-of-the-art generative world foundation models, tokenizers, and accelerated data processing and model customization pipelines, purpose-built for developing physical AI systems like robots and autonomous vehicles. Cosmos eliminates cost and resource barriers, helping democratize access to tools for developing physical AI. NVIDIA DGX Cloud is a high-performance, fully managed AI platform preconfigured with the latest NVIDIA architecture and software. Providing term-length flexibility and machine learning pipeline portability on an open platform, DGX Cloud delivers day-one productivity and maximum resource utilization for AI model development across multi-cloud environments.
英伟达阿童木是一个新的先进的生成世界基础模型、分词器和加速数据处理及模型自定义管道的平台,旨在开发物理人工智能系统,如机器人和自动驾驶车辆。阿童木消除了成本和资源障碍,帮助民主化对物理人工智能开发工具的访问。英伟达DGX Cloud是一个高性能的、全托管的人工智能平台,预配置了最新的英伟达架构和软件。DGX Cloud在开放平台上提供期限灵活性和机器学习管道的可移植性,为多云环境中的人工智能模型开发提供了第一天的生产力和最大资源利用率。
"Uber is one of the first mobility leaders to embrace these platforms to accelerate the development and deployment of physical AI systems such as AVs," said Norm Marks, vice president of automotive at NVIDIA. "We're excited to collaborate with Uber to help empower the AV ecosystem with Cosmos and DGX Cloud."
“优步是最早接受这些平台以加速物理人工智能系统(如自动驾驶车辆)开发和部署的出行领袖之一,”英伟达汽车部门副总裁Norm Marks说。“我们很高兴能与优步合作,借助阿童木和DGX Cloud来赋能自动驾驶生态系统。”
The companies will share additional details later this year.
公司将在今年稍后分享更多细节。
About Uber
关于优步
Uber's mission is to create opportunity through movement. We started in 2010 to solve a simple problem: how do you get access to a ride at the touch of a button? More than 55 billion trips later, we're building products to get people closer to where they want to be. By changing how people, food, and things move through cities, Uber is a platform that opens up the world to new possibilities.
优步的使命是通过出行创造机会。我们从2010年开始,旨在解决一个简单的问题:如何在按一下按钮的情况下获得乘车服务?550亿次出行后,我们正在打造产品,让人们更接近他们想去的地方。通过改变人、食物和物品在城市中的流动方式,优步是一个为世界开辟新可能的平台。