Munich, Germany – GPU Technology Conference—Oct 10, 2018
Oracle (NYSE:ORCL) and NVIDIA (NASDAQ: NVDA) today announced that Oracle is the first public cloud provider to support the NVIDIA HGX-2TM platform on Oracle Cloud Infrastructure, to meet the needs of the next generation of analytics, machine learning and AI. The companies are also announcing the general availability of support for GPU-accelerated deep learning and HPC containers from the NVIDIA GPU Cloud (NGC) container registry on Oracle Cloud Infrastructure.
From enabling autonomous vehicles to driving global climate simulations, rapid progress in AI and HPC has transformed entire industries while also demanding massive increases in complexity and compute power. HGX-2 is designed for multi-precision computing to accelerate the most demanding applications by unleashing 2 petaflops of computing power and half a terabyte (TB) of total GPU memory with 16 NVIDIA Tesla® V100 Tensor Core GPUs interconnected with NVSwitch™. Supporting HGX-2 on both Oracle Cloud Infrastructure bare-metal and virtual machine instances, Oracle and NVIDIA are helping customers solve the greatest AI and HPC challenges for the most complex workloads.
Oracle is also announcing support for RAPIDS open-source software introduced today by NVIDIA for executing end-to-end data science training pipelines accelerated on NVIDIA GPUs. RAPIDS will be available this week on Oracle Cloud Infrastructure via NGC. RAPIDS dramatically accelerates data science pipelines by moving workflows onto the GPU. This optimizes machine learning training with more iterations for better model accuracy. Data scientists can quickly integrate RAPIDS with hassle-free integration and minimal code changes, enabling them to significantly accelerate the Python data science toolchain. With this new offering and support for NGC containers, Oracle and NVIDIA are allowing customers to easily deploy containerized applications and frameworks for HPC, data science and AI and run them seamlessly on Oracle Cloud Infrastructure.
Oracle Cloud Infrastructure is also working with NVIDIA to support RAPIDS across its platform, including the Oracle Data Science Cloud, to further accelerate customers’ end to-end data science workflows. RAPIDS software runs seamlessly on the Oracle Cloud, allowing customers to support their HPC, AI and data science needs, all while taking advantage of the portfolio of GPU instances available on Oracle Cloud Infrastructure.
“We are very excited about this collaboration with NVIDIA. As the world of computing continues to push the boundaries of what’s possible, we are providing our customers with the software, tools and cloud infrastructure needed to solve the most complex challenges,” said Clay Magouyrk, senior vice president, software development, Oracle Cloud Infrastructure. “Whether you are an engineer, data scientist, researcher or developer, we are bringing the power of compute and cloud to your fingertips.
“This new collaboration with Oracle will help fuel incredible innovation across a wide range of industries,” said Ian Buck, vice president and general manager of Accelerated Computing at NVIDIA. “By taking advantage of NVIDIA’s latest technologies, Oracle is well positioned to meet surges in demand for GPU acceleration for deep learning, high-performance computing, data analytics and machine learning.”
Oracle Cloud Infrastructure is the enterprise Infrastructure as a Service (IaaS) platform. Companies of all sizes rely on Oracle Cloud to run enterprise and cloud native applications with mission-critical performance and core-to-edge security. By running both traditional and new workloads on a comprehensive cloud that includes compute, storage, networking, database, and containers, Oracle Cloud Infrastructure dramatically increases operational efficiency and lowers total cost of ownership. For more information, visit https://cloud.oracle.com/iaas.
The Oracle Cloud offers complete SaaS application suites for ERP, HCM and CX, plus best-in-class database Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) from data centers throughout the Americas, Europe and Asia. For more information about Oracle (NYSE:ORCL), please visit us at www.oracle.com.
NVIDIA’s (NASDAQ: NVDA) invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI—the next era of computing—with the GPU acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. More information at http://nvidianews.nvidia.com/.
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The preceding is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, timing, and pricing of any features or functionality described for Oracle’s products may change and remains at the sole discretion of Oracle Corporation.
Certain statements in this press release including, but not limited to, statements as to: the benefits and impact of Oracle supporting the NVIDIA HGX-2 platform on Oracle Cloud Infrastructure and supporting RAPIDS; and the benefits, impact, and features of HGX-2 and RAPIDS software 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-Q for the fiscal period ended July 29, 2018. 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.