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
這一聯合倡議將利用英偉達的新阿童木平台和DGX Cloud來推動自主開發
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.
舊金山--(商業資訊)--優步科技公司(紐交所:UBER)與英偉達宣佈,他們正在合作開發支持人工智能驅動的自動駕駛科技的新解決方案。
"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."
「生成性人工智能將推動未來的出行,這需要豐富的數據和非常強大的計算能力,」優步首席執行官達拉·科斯羅沙希表示。「通過與英偉達合作,我們有信心能夠加速行業安全且可擴展的自動駕駛解決方案的時間表。」
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.
每天在優步上進行數百萬次出行,代表着一個龐大而豐富的數據源,雙方將努力將其與英偉達阿童木平台和英偉達DGX Cloud結合,以幫助自動駕駛合作伙伴更高效地構建更強大的人工智能模型。
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.
英偉達阿童木是一個新的先進的生成世界基礎模型、分詞器和加速數據處理及模型自定義管道的平台,旨在開發物理人工智能系統,如機器人和自動駕駛車輛。阿童木消除了成本和資源障礙,幫助民主化對物理人工智能開發工具的訪問。英偉達DGX Cloud是一個高性能的、全託管的人工智能平台,預配置了最新的英偉達架構和軟體。DGX Cloud在開放平台上提供期限靈活性和機器學習管道的可移植性,爲多雲環境中的人工智能模型開發提供了第一天的生產力和最大資源利用率。
"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."
「優步是最早接受這些平台以加速物理人工智能系統(如自動駕駛車輛)開發和部署的出行領袖之一,」英偉達汽車部門副總裁Norm Marks說。「我們很高興能與優步合作,藉助阿童木和DGX Cloud來賦能自動駕駛生態系統。」
The companies will share additional details later this year.
公司將在今年稍後分享更多細節。
About Uber
關於優步
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.
優步的使命是通過出行創造機會。我們從2010年開始,旨在解決一個簡單的問題:如何在按一下按鈕的情況下獲得乘車服務?550億次出行後,我們正在打造產品,讓人們更接近他們想去的地方。通過改變人、食物和物品在城市中的流動方式,優步是一個爲世界開闢新可能的平台。