NVIDIA Launches Revolutionary Volta GPU Platform, Fueling Next Era of AI and High Performance
Computing
Volta-Based Tesla V100 Data Center GPU Shatters Barrier of 120 Teraflops of Deep Learning
NVIDIA today launched Volta -- the world's most powerful GPU computing architecture, created to drive the next wave of advancement in artificial intelligence andhigh performance computing.
The company also announced its first Volta-based processor, the NVIDIA® Tesla® V100 data center GPU, which brings extraordinary speed and scalability for AI
inferencing and training, as well as for accelerating HPC and graphics workloads.
"Artificial intelligence is driving the greatest technology advances in human history," said Jensen Huang, founder and chief executive officer of NVIDIA, who
unveiled Volta at his GTC keynote. "It will automate intelligence and spur a wave of social progress unmatched since the industrial revolution.
"Deep learning, a groundbreaking AI approach that creates computer software that learns, has insatiable demand for processing power. Thousands of NVIDIA
engineers spent over three years crafting Volta to help meet this need, enabling the industry to realize AI's life-changing potential," he said.
Volta, NVIDIA's seventh-generation GPU architecture, is built with 21 billion transistors and delivers the equivalent performance of 100 CPUs for deep learning.
It provides a 5x improvement over Pascal™, the current-generation NVIDIA GPU architecture, in peak teraflops, and 15x over the Maxwell™ architecture,launched two years ago. This performance surpasses by 4x the improvements that Moore's law would have predicted.
Demand for accelerating AI has never been greater. Developers, data scientists and researchers increasingly rely on neural networks to power their next
advances in fighting cancer, making transportation safer with self-driving vehicles, providing new intelligent customer experiences and more.
Data centers need to deliver exponentially greater processing power as these networks become more complex. And they need to efficiently scale to support therapid adoption of highly accurate AI-based services, such as natural language virtual assistants, and personalized search and recommendation systems.
Volta will become the new standard for high performance computing. It offers a platform for HPC systems to excel at both computational science and data
science for discovering insights. By pairing CUDA® cores and the new Volta Tensor Core within a unified architecture, a single server with Tesla V100 GPUs canreplace hundreds of commodity CPUs for traditional HPC.
Breakthrough Technologies
The Tesla V100 GPU leapfrogs previous generations of NVIDIA GPUs with groundbreaking technologies that enable it to shatter the 100 teraflops barrier of deeplearning performance. They include:•Tensor Cores designed to speed AI workloads. Equipped with 640 Tensor Cores, V100 delivers 120 teraflops of deep learning performance, equivalent to theperformance of 100 CPUs.

•New GPU architecture with over 21 billion transistors. It pairs CUDA cores and Tensor Cores within a unified architecture, providing the performance of an AIsupercomputer in a single GPU.

•NVLink™ provides the next generation of high-speed interconnect linking GPUs, and GPUs to CPUs, with up to 2x the throughput of the prior generation
NVLink.

•900 GB/sec HBM2 DRAM, developed in collaboration with Samsung, achieves 50 percent more memory bandwidth than previous generation GPUs, essential
to support the extraordinary computing throughput of Volta.

•Volta-optimized software, including CUDA, cuDNN and TensorRT™ software, which leading frameworks and applications can easily tap into to accelerate AIand research.

Ecosystem Support for Volta
Volta has received broad industry support from leading companies and organizations around the world:"NVIDIA and AWS have worked together for a long time to help customers run compute-intensive AI workloads in the cloud. We launched the first GPU-optimized
cloud instance in 2010, and introduced last year the most powerful GPU instance available in the cloud. AWS is home to some of today's most innovative andcreative AI applications, and we look forward to helping customers continue to build incredible new applications with the next generation of our general-purpose
GPU instance family when Volta becomes available later in the year."-- Matt Garman, vice president of Compute Services, Amazon Web Services"We express our congratulations to NVIDIA's latest release of Volta. From Baidu Cloud to Intelligent Driving, Baidu has been strengthening its efforts in building
an open AI platform. Together with NVIDIA, we believe we will accelerate the development and application of the global AI technology and create more
opportunities for the whole society."-- Yaqin Zhang, president, Baidu"NVIDIA and Facebook have been great partners and we are excited about the contributions NVIDIA has made to Facebook's Caffe2 and PyTorch. We lookforward to the AI advances NVIDIA's new high-performing Volta graphics architecture will enable."-- Mike Schroepfer, chief technology officer, Facebook"NVIDIA's GPUs deliver significant performance boosts for Google Cloud Platform customers. GPUs are an important part of our infrastructure, offering Google
and our enterprise customers extra computational power for machine learning or high performance computing and data analysis. Volta's performance1improvements will make GPUs even more powerful and we plan to offer Volta GPUs on GCP."-- Brad Calder, vice president of Engineering for Google Cloud Platform, Google"Microsoft and NVIDIA have partnered for years on AI technologies, including Microsoft Azure N-series, Project Olympus and Cognitive Toolkit. The new Voltaarchitecture will unlock extraordinary new capabilities for Microsoft customers."-- Harry Shum, executive vice president of Microsoft AI and Research Group, Microsoft"Oak Ridge National Laboratory will begin assembling our next-generation leadership computing system, Summit, this summer. Summit is powered by Volta
GPUs and will be the top supercomputer in the U.S. for scientific discovery when completed in 2018. It will keep the U.S. at the forefront of scientific research andhelp the Department of Energy address complex challenges with computational science and AI-assisted discovery."-- Jeff Nichols, associate laboratory director of the Computing and Computational Sciences Directorate, Oak Ridge National Laboratory"A large variety of our products, including voice technology in wechat, photo/video technology in QQ and Qzone, and the deep learning platform based on
Tencent Cloud, already rely on AI. We believe Volta will provide unprecedented computing power for our AI developers, and we're excited to open up thosecapabilities soon from Tencent Cloud to more clients."-- Dowson Tong, senior executive vice president, Tencent
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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 revolutionizedparallel computing. More recently, GPU deep learning ignited modern AI -- the next era of computing -- with the GPU acting as the brain of computers, robots andself-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: the impact, performance and benefits of the Volta architecture and theNVIDIA Tesla V100 data center GPU; the impact of artificial intelligence and deep learning; and the demand for accelerating AI are forward-looking statementsthat are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results todiffer materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact oftechnological 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 inindustry 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 toupdate these forward-looking statements to reflect future events or circumstances.
© 2017 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, Tesla, CUDA, Maxwell, NVLink, Pascal, TensorRT and Volta 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.
Media Contacts
Kristin Bryson+1 203 241 9190
kbryson@nvidia.com

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