"Artificial intelligence is driving the greatest technology advances in human history", stated 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 stated.
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 centres need to deliver exponentially greater processing power as these networks become more complex. And they need to efficiently scale to support the rapid 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 can replace hundreds of commodity CPUs for traditional HPC.
The Tesla V100 GPU leapfrogs previous generations of NVIDIA GPUs with groundbreaking technologies that enable it to shatter the 100 teraflops barrier of deep learning performance. They include:
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 and creative 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", stated 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", stated 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 look forward to the AI advances NVIDIA's new high-performing Volta graphics architecture will enable", stated 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 performance improvements will make GPUs even more powerful and we plan to offer Volta GPUs on GCP", stated 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 Volta architecture will unlock extraordinary new capabilities for Microsoft customers", stated 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 and help the Department of Energy address complex challenges with computational science and AI-assisted discovery", stated 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 those capabilities soon from Tencent Cloud to more clients", stated Dowson Tong, senior executive vice president, Tencent.