Tencent Cloud will integrate NVIDIA's GPU computing and deep learning platform into its public cloud computing platform. This will provide users with access to a set of new cloud services powered by Tesla GPU accelerators, including the latest Pascal™ architecture-based Tesla P100 and P40 GPU accelerators with NVIDIA NVLink™ technology for connecting multiple GPUs and NVIDIA deep learning software.
NVIDIA's AI computing technology is used worldwide by cloud service providers, enterprises, startups and research organizations for a wide range of applications.
"Companies around the world are harnessing their data with our AI computing technology to create breakthrough products and services," said Ian Buck, general manager of Accelerated Computing at NVIDIA. "Through Tencent Cloud, more companies will have access to NVIDIA's deep learning platform, the world's most broadly adopted AI platform."
"Tencent Cloud GPU offerings with NVIDIA's deep learning platform will help companies in China rapidly integrate AI capabilities into their products and services," said Sam Xie, vice president of Tencent Cloud. "Our customers will gain greater computing flexibility and power, giving them a powerful competitive advantage."
GPU-Based Cloud Offerings for AI
Organizations across many industries are seeking greater access to the core AI technologies required to develop advanced applications, such as facial recognition, natural language processing, traffic analysis, intelligent customer service, and machine learning.
The massively efficient parallel processing capabilities of GPUs make the NVIDIA computing platform highly effective at accelerating a host of other data-intensive workloads, including advanced analytics and high performance computing.
As part of the companies' collaboration, Tencent Cloud intends to offer customers a wide range of cloud products based on NVIDIA's AI computing platforms. This will include GPU cloud servers incorporating NVIDIA Tesla P100, P40 and M40 GPU accelerators and NVIDIA deep learning software. Tencent Cloud launched GPU servers based on NVIDIA Tesla M40 GPUs and NVIDIA deep learning software in December.
During the first half of this year, these cloud servers will integrate up to eight GPU accelerators, providing users with superior performance while meeting the requirements for deep learning and algorithms that involve ultra-high data volume and ultra-sized equipment.
Certain statements in this press release including, but not limited to, statements as to: Tencent Cloud's adoption of NVIDIA Tesla GPU accelerators; and the impact and benefits of Tesla GPU accelerators, NVIDIA's GPU computing and deep learning platform, and the integration of Tencent Cloud GPU offerings with NVIDIA's deep learning platform are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners' products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the reports NVIDIA files with the Securities and Exchange Commission, or SEC, including its Form 10-K for the fiscal period ended January 29, 2017. Copies of reports filed with the SEC are posted on the company's website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.
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