Baidu will establish a company and partner with automaker Zhejiang Geely Holding Group (Geely) to produce intelligent electric vehicles (EV). Baidu will provide intelligent driving capabilities to power the passenger vehicles for the new venture […]
Baidu Apollo has received clearance from Beijing transportation authorities to put five of its fully driverless vehicles on road tests, making the company the first and only to get the permit to trial on Beijing […]
Baidu has as of October 2020 filed an astonishing 9,364 AI-related patent applications, of which 2,682 has been granted — the most of any organisation in China. Its the third year running that the search […]
Chengdu plans to make a strong push to advance next generation artificial intelligence (AI). The capital of China’s Sichuan province is working on developing an AI-centreed pilot zone. More than 100 billion yuan (US$15.2 billion) […]
Baidu has agreed to pay JOYY US$3.6 billion for its video-based entertainment live streaming business YY Live in China, which includes YY mobile app, YY.com website and PC YY. The transaction is expected to be […]
Baidu has extended its Apollo Go Robotaxi service to the downtown of Cangzhou, Hebei province. The is the first time that the service will be available in the heart of a city in China, marking a new era is the development of autonomous driving technology.
China carmaker Chery has adopted the new ZP ProAI system, powered by NVIDIA Drive AI self-driving technology, for its autonomous vehicles. The move will bring Level 3 autonomous driving to the world’s biggest auto market.
China’s top technology companies are betting big on the NVIDIA Volta platform.
Alibaba Cloud, Baidu, and Tencent are incorporating NVIDIA Tesla V100 GPU accelerators into their data centres and cloud-service infrastructures to accelerate AI for a broad range of enterprise and consumer applications.
At the heart of the new Volta-based systems is the NVIDIA V100 data centre GPU. Built with 21 billion transistors, it provides a 5x improvement over the preceding NVIDIA Pascal architecture P100 GPU accelerators, while delivering the equivalent performance of 100 CPUs for deep learning. This performance surpasses by 4x the improvements that Moore’s law would have predicted over the same period of time.
Inspur, Lenovo and Huawei are using the NVIDIA HGX reference architecture to offer Volta-based accelerated systems for hyperscale data centres. Using HGX as a starter “recipe,” original equipment manufacturer and original design manufacturer partners can work with NVIDIA to more quickly design and bring to market a wide range of qualified GPU-accelerated AI systems for hyperscale data centres to meet the industry’s growing demand for AI cloud computing.
The cloud infrastructure services market is continuing to grow strongly, up 47 percent year on year in Q2 to reach US$14 billion, according to Canalys. Growth was driven by demand for primary cloud infrastructure services, such as on-demand computing and storage, across all customer segments and industries.
However, future growth is expected to be fueled by customers using the artificial intelligence (AI) platforms cloud service providers are building to develop new applications, processes, services, and user experiences.
Amazon Web Services (AWS) maintained its leadership position, growing 42 percent on an annual basis and accounting for more than 30 percent of total spend. But its growth rate was lower than those of its main rivals, Microsoft (up 97 percent growth) and Google (up 92 percent), but higher than fourth-placed IBM (up 23 percent). Overall, the top four cloud services providers represented 55 percent of the cloud infrastructure services market, which includes IaaS and PaaS.
NVIDIA and Baidu have teamed up to bring artificial intelligence (AI) technology to cloud computing, self-driving vehicles and AI home assistants.
Baidu will deploy NVIDIA HGX architecture with Tesla Volta V100 and Tesla P4 GPU accelerators for AI training and inference in its data centres. Combined with Baidu’s PaddlePaddle deep learning framework and NVIDIA’s TensorRT deep learning inference software, researchers and companies can harness state-of-the-art technology to develop products and services with real-time understanding of images, speech, text and video.
To accelerate AI development, the companies will work together to optimise Baidu’s open-source PaddlePaddle deep learning framework on NVIDIA’s Volta GPU architecture.
NVIDIA has unveiled a palm-sized, energy-efficient artificial intelligence (AI) computer that car makers can use to power automated and autonomous vehicles for driving and mapping.
The new single-processor configuration of the NVIDIA DRIVE PX 2 AI computing platform for AutoCruise functions — which include highway automated driving and HD mapping — consumes just 10 watts of power and enables vehicles to use deep neural networks to process data from multiple cameras and sensors. It will be deployed by China’s Baidu as the in-vehicle car computer for its self-driving cloud-to-car system.
DRIVE PX 2 enables car makers and their tier 1 suppliers to accelerate production of automated and autonomous vehicles. A car using the small form-factor DRIVE PX 2 for AutoCruise can understand in real time what is happening around it, precisely locate itself on an HD map and plan a safe path forward.
Baidu and NVIDIA are partnering to leverage artificial intelligence (AI) to create a cloud-to-car autonomous car platform for Chinese and global car makers. The partnership combines Baidu’s cloud platform and mapping technology with NVIDIA’s self-driving computing platform to develop solutions for HD maps, Level 3 autonomous vehicle control and automated parking.
Baidu CEO Robin Li and NVIDIA CEO Jen-Hsun Huang announced the collaboration at Baidu World Conference in Beijing yesterday.
“We’re going to bring together the technical capabilities and the expertise in AI and the scale of two world-class AI companies to build the self-driving car architecture from end-to-end, from top-to-bottom, from the cloud to the car,” said Huang .