NVIDIA Introduces New Breed of High-Performance Workstations for Millions of Data Scientists

About NVIDIA
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/. 

Certain statements in this press release including, but not limited to, statements as to: global systems builders and OEMs teaming with NVIDIA and integrating NVIDIA Quadro RTX GPUs and NVIDIA CUDA-X AI; the benefits, impact, performance, abilities and features of NVIDIA GPU-accelerated data science workstations, NVIDIA Quadro RTX GPUs and NVIDIA CUDA-X AI; CUDA-X AI enabling modern computing applications to benefit from NVIDIA’s GPU-accelerated computing platform; enterprises being eager to unlock the benefits of machine learning and analytics and hiring data scientists at an unprecedented rate; NVIDIA GPU-accelerated data science workstations providing enterprises with the processing power to build their own machine learning models and delivering a major boost in AI acceleration enabling data scientists to interpret and manage data, solve complex problems and provide valuable, actionable insights; NVIDIA-powered data science workstations making it easy for scientists to use models quickly and accurately; NVIDIA-powered data science workstations being the ideal complement to NVIDIA’s data science portfolio; NVIDIA-powered data science workstation enabling data scientists to run end-to-end data processing pipelines on large datasets faster than ever and leveraging RAPIDS, leading to faster deployment and business insights; NVIDIA-powered data science workstations helping OEMs and data science software providers bring powerful new options to customers; and the availability of NVIDIA-powered systems for data scientists 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 most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. 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.

© 2019 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, CUDA-X, NVIDIA Turing, NVLink, Quadro RTX, RAPIDS and TensorRT are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.