Jensen Huang, founder and chief executive officer of NVIDIA, who unveiled Volta at his GTC keynote. Photo courtesy of NVIDIA

Santa Clara, CA, USA - May 10, 2017

• 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 and high 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.

Jensen Huang, founder and chief executive officer of NVIDIA, who unveiled Volta at his GTC keynote. Photo courtesy of NVIDIA

"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.

Photo courtesy of NVIDIA

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.

Photo courtesy of NVIDIA

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.

Photo courtesy of NVIDIA

Data centers 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.

Photo courtesy of NVIDIA

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.

Photo courtesy of NVIDIA

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 deep learning 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 the performance 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 AI supercomputer 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 AI and research.

Photo courtesy of NVIDIA

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 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."
- Matt Garman, vice president of Compute Services, Amazon Web Services

Photo courtesy of NVIDIA

"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

Photo courtesy of NVIDIA

"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."
- Mike Schroepfer, chief technology officer, Facebook

Photo courtesy of NVIDIA

"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."
- Brad Calder, vice president of Engineering for Google Cloud Platform, Google

Courtesy of NVIDIA

"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."
- Harry Shum, executive vice president of Microsoft AI and Research Group, Microsoft

Courtesy of NVIDIA

"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."
- Jeff Nichols, associate laboratory director of the Computing and Computational Sciences Directorate, Oak Ridge National Laboratory

Photo courtesy of NVIDIA

"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."
- Dowson Tong, senior executive vice president, Tencent


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/ .


Source: NVIDIA

http://nvidianews.nvidia.com  



ASTROMAN Magazine - 2017.04.10

Intel Collaborating with Preferred Networks in Japan on Deep Learning

https://www.astroman.com.pl/index.php?mod=magazine&a=read&id=2227  


ASTROMAN Magazine - 2017.03.25

Artificial Intelligence at CeBIT 2017: When will machines outstrip the intelligence of humans?

https://www.astroman.com.pl/index.php?mod=magazine&a=read&id=2219  


ASTROMAN Magazine - 2017.03.14

Intel to Acquire Mobileye for approximately USD 15.3 Billion

https://www.astroman.com.pl/index.php?mod=magazine&a=read&id=2214  


ASTROMAN Magazine - 2017.02.10

NVIDIA Powers New Class of Supercomputing Workstations with Breakthrough Capabilities for Design and Engineering

https://www.astroman.com.pl/index.php?mod=magazine&a=read&id=2193  


ASTROMAN Magazine - 2017.01.09

CES 2017 Catapults a Connected World

http://www.astroman.com.pl/index.php?mod=magazine&a=read&id=2178  


ASTROMAN Magazine - 2016.12.10

The Cray XC Series: Supercomputing Defined

http://www.astroman.com.pl/index.php?mod=magazine&a=read&id=2170  


ASTROMAN Magazine – 2016.12.10

CRAY works with industry leaders and CSCS to reach new performance milestone for deep learning at scale

http://www.astroman.com.pl/index.php?mod=magazine&a=read&id=2169  


ASTROMAN Magazine - 2016.11.09

Intel's Vision: Smart and Connected to the Cloud

http://www.astroman.com.pl/index.php?mod=magazine&a=read&id=2154  


ASTROMAN Magazine - 2016.10.16

Tech Leaders Unite to Enable New Cloud Datacenter Server Designs for Big Data, Machine Learning, Analytics, and other Emerging Workloads, called OpenCAPI

http://www.astroman.com.pl/index.php?mod=magazine&a=read&id=2138  


ASTROMAN Magazine – 2016.10.01

Amazon, DeepMind/Google, Facebook, IBM and Microsoft Establish Partnership on Artificial Intelligence Best Practices

http://www.astroman.com.pl/index.php?mod=magazine&a=read&id=2131  


ASTROMAN Magazine – 2016.10.01

AUDI AG, BMW Group, Daimler AG, Ericsson, Huawei, Intel, Nokia and Qualcomm form global cross-industry 5G Automotive Association

http://www.astroman.com.pl/index.php?mod=magazine&a=read&id=2132  


ASTROMAN Magazine - 2016.08.27

Piton: A 25-core New Academic Manycore Research Processor, Demonstrates Efficiency and Scalable Design at Hot Chips by Princeton University Researchers

http://www.astroman.com.pl/index.php?mod=magazine&a=read&id=2112  


ASTROMAN Magazine - 2016.08.12

Intel: The Foundation of Artificial Intelligence

http://www.astroman.com.pl/index.php?mod=magazine&a=read&id=2102  


ASTROMAN Magazine - 2016.07.30

NVIDIA: What's the Difference Between Artificial Intelligence, Machine Learning, and Deep Learning?

http://www.astroman.com.pl/index.php?mod=magazine&a=read&id=2097  


ASTROMAN Magazine - 2016.07.23

A TITAN for a Titan: NVIDIA CEO Jen-Hsun Huang Presents New TITAN X to Baidu's Andrew Ng

https://www.astroman.com.pl/index.php?mod=magazine&a=read&id=2090  


ASTROMAN Magazine - 2014.04.21

New York International Auto Show Fortified with NVIDIA-Powered Audis, BMWs, Rolls-Royce

https://www.astroman.com.pl/index.php?mod=magazine&a=read&id=1700  


ASTROMAN Magazine - 2013.10.19

NVIDIA Introduces G-SYNC Technology for Gaming Monitors

https://www.astroman.com.pl/index.php?mod=magazine&a=read&id=1574  


ASTROMAN Magazine - 2013.08.10

Google, IBM, Mellanox, NVIDIA, Tyan Announce Development Group for Data Centers

https://www.astroman.com.pl/index.php?mod=magazine&a=read&id=1511  


ASTROMAN Magazine - 2013.07.13

NVIDIA Tesla GPU Accelerators Power World's Most Energy Efficient Supercomputer

https://www.astroman.com.pl/index.php?mod=magazine&a=read&id=1497  


ASTROMAN Magazine - 2012.08.12

NVIDIA Maximus Fuels Workstation Revolution With Kepler Architecture

https://www.astroman.com.pl/index.php?mod=magazine&a=read&id=1293  


ASTROMAN Magazine - 2011.11.12

New GPU Applications Accelerate Search for More Effective Medicines and Higher Quality Materials

https://www.astroman.com.pl/index.php?mod=magazine&a=read&id=1099  


ASTROMAN Magazine - 2011.08.07

NVIDIA Tesla GPUs Used by J.P. Morgan Run Risk Calculations in Minutes, Not Hours

https://www.astroman.com.pl/index.php?mod=magazine&a=read&id=1030  


ASTROMAN Magazine - 2011.03.27

NVIDIA GeForce GTX 590 Is World's Fastest Graphics Card

https://www.astroman.com.pl/index.php?mod=magazine&a=read&id=930  


ASTROMAN Magazine - 2011.01.16

Intel to Pay NVIDIA Technology Licensing Fees of $1.5 Billion

https://www.astroman.com.pl/index.php?mod=magazine&a=read&id=881  


ASTROMAN Magazine - 2010.10.29

NVIDIA Tesla GPUs Power World's Fastest Supercomputer

http://www.astroman.com.pl/index.php?mod=magazine&a=read&id=831   


ASTROMAN Magazine - 2010.10.10

New NVIDIA Quadro Professional Graphics Solutions

https://www.astroman.com.pl/index.php?mod=magazine&a=read&id=820  


ASTROMAN Magazine – 2010.05.09

NVIDIA GPUs Provide Edge to 3D Animators Utilizing Autodesk Softimage 2011

https://www.astroman.com.pl/index.php?mod=magazine&a=read&id=716  


ASTROMAN Magazine – 2010.02.27

NVIDIA Names University Of Maryland A CUDA Center Of Excellence

https://www.astroman.com.pl/index.php?mod=magazine&a=read&id=671  


ASTROMAN Magazine – 2010.02.27

ADAM - Notion Ink Pixel Qi tablet with NVIDIA Tegra2 processor

https://www.astroman.com.pl/index.php?mod=magazine&a=read&id=670  


ASTROMAN Magazine – 2010.02.27

Next Generation NVIDIA Tegra

https://www.astroman.com.pl/index.php?mod=magazine&a=read&id=669