NVIDIA today unveiled NVIDIA DGX™ A100, the third generation of the
world’s most advanced AI system, delivering 5 petaflops of AI
performance and consolidating the power and capabilities of an
entire data center into a single flexible platform for the first
time.
Immediately available, DGX A100 systems have begun shipping
worldwide, with the first order going to the U.S. Department of
Energy’s (DOE) Argonne National Laboratory, which will use the
cluster’s AI and computing power to better understand and fight
COVID-19.
“NVIDIA DGX A100 is the ultimate instrument for advancing AI,”
said Jensen Huang, founder and CEO of NVIDIA. “NVIDIA DGX is the
first AI system built for the end-to-end machine learning workflow
— from data analytics to training to inference. And with the giant
performance leap of the new DGX, machine learning engineers can
stay ahead of the exponentially growing size of AI models and
data.”
DGX A100 systems integrate eight of the new NVIDIA A100 Tensor
Core GPUs, providing 320GB of memory for training the largest AI
datasets, and the latest high-speed NVIDIA Mellanox® HDR 200Gbps
interconnects.
Multiple smaller workloads can be accelerated by partitioning
the DGX A100 into as many as 56 instances per system, using the
A100 multi-instance GPU feature. Combining these capabilities
enables enterprises to optimize computing power and resources on
demand to accelerate diverse workloads, including data analytics,
training and inference, on a single, fully integrated,
software-defined platform.
Immediate DGX A100 Adoption, SupportA number of
the world’s largest companies, service providers and government
agencies have placed initial orders for the DGX A100, with the
first systems delivered to Argonne earlier this month.
“We’re using America’s most powerful supercomputers in the fight
against COVID-19, running AI models and simulations on the latest
technology available, like the NVIDIA DGX A100,” said Rick Stevens,
associate laboratory director for Computing, Environment and Life
Sciences at Argonne. “The compute power of the new DGX A100 systems
coming to Argonne will help researchers explore treatments and
vaccines and study the spread of the virus, enabling scientists to
do years’ worth of AI-accelerated work in months or days.”
The University of Florida will be the first institution of
higher learning in the U.S. to receive DGX A100 systems, which it
will deploy to infuse AI across its entire curriculum to foster an
AI-enabled workforce.
“The University of Florida has a vision to be a national leader
in artificial intelligence, and NVIDIA is an incredibly valuable
partner in our quest to do so,” said University of Florida
President Kent Fuchs. “Across disciplines, our new NVIDIA DGX A100
systems will position our researchers to solve some of our world’s
most pressing challenges and equip an entire generation of students
with the skills that will revolutionize the future workforce.”
Among other early adopters are:
- The Center for Biomedical AI — at the
University Medical Center Hamburg-Eppendorf, Germany — will
leverage DGX A100 to advance clinical decision support and process
optimization.
- Chulalongkorn University — Thailand’s top
research-intensive university — will use DGX A100 to accelerate its
pioneering research such as Thai natural language processing,
automatic speech recognition, computer vision and medical
imaging.
- Element AI — a Montreal-based developer of
AI-powered solutions and services — is deploying DGX A100 to
accelerate performance and feature optimization for its Orkestrator
GPU scheduler to meet growing AI training and application
demands.
- German Research Center for Artificial Intelligence
(DFKI) will use the DGX A100 systems to further accelerate
its research on new deep learning methods and their explainability
while significantly reducing space and energy consumption.
- Harrison.ai — a Sydney-based healthcare AI
company — will deploy Australia’s first DGX A100 systems to
accelerate the development of its AI-as-medical-device.
- The UAE Artificial Intelligence Office — first
in the Middle East to deploy the new DGX A100 — is building a
national infrastructure to accelerate AI research, development and
adoption across the public and private sector.
- VinAI Research — Vietnam’s leading AI research
lab, based in Hanoi and Ho Chi Minh City — will use DGX A100 to
conduct high-impact research and accelerate the application of
AI.
Thousands of previous-generation DGX systems are in use around
the globe by a wide range of public and private organizations.
Among them are some of the world’s leading businesses, including
automakers, healthcare providers, retailers, financial institutions
and logistics companies that are pushing AI forward across their
industries.
NVIDIA Builds Next-Gen 700 Petaflops DGX
SuperPOD NVIDIA also revealed its next-generation DGX
SuperPOD, a cluster of 140 DGX A100 systems capable of achieving
700 petaflops of AI computing power. Combining 140 DGX A100 systems
with Mellanox HDR 200Gbps InfiniBand interconnects, NVIDIA built
the DGX SuperPOD AI supercomputer for internal research in areas
such as conversational AI, genomics and autonomous driving.
The cluster is one of the world’s fastest AI supercomputers —
achieving a level of performance that previously required thousands
of servers. The enterprise-ready architecture and performance of
the DGX A100 enabled NVIDIA to build the system in less than a
month, instead of taking months or years of planning and
procurement of specialized components previously required to
deliver these supercomputing capabilities.
To help customers build their own A100-powered data centers,
NVIDIA has released a new DGX SuperPOD reference architecture. It
gives customers a blueprint that follows the same design principles
and best practices NVIDIA used to build its DGX A100-based AI
supercomputing cluster.
DGXpert Program, DGX-Ready SoftwareNVIDIA also
launched the NVIDIA DGXpert program, which brings together DGX
customers with the company’s AI experts; and the NVIDIA DGX-Ready
Software program, which helps customers take advantage of
certified, enterprise-grade software for AI workflows.
DGXperts are AI-fluent specialists who can help guide clients on
AI deployments, from planning to implementation to ongoing
optimization. These individuals can help DGX A100 customers build
and maintain state-of-the-art AI infrastructure.
The NVIDIA DGX-Ready Software program helps customers quickly
identify and take advantage of NVIDIA-tested third-party MLOps
software that can help them increase data science productivity,
accelerate AI workflows and improve accessibility and utilization
of AI infrastructure. The first program partners certified by
NVIDIA are Allegro AI, cnvrg.io, Core Scientific, Domino Data Lab,
Iguazio and Paperspace.
DGX A100 Technical Specifications
- Eight NVIDIA A100 Tensor Core GPUs, delivering 5 petaflops of
AI power, with 320GB in total GPU memory with 12.4TB per second in
bandwidth.
- Six NVIDIA NVSwitch™ interconnect fabrics with third-generation
NVIDIA NVLink® technology for 4.8TB per second of bi-directional
bandwidth.
- Nine Mellanox ConnectX-6 HDR 200Gb per second network
interfaces, offering a total of 3.6Tb per second of bi-directional
bandwidth.
- Mellanox In-Network Computing and network acceleration engines
such as RDMA, GPUDirect® and Scalable Hierarchical Aggregation and
Reduction Protocol (SHARP)™ to enable the highest performance and
scalability.
- 15TB Gen4 NVMe internal storage, which is 2x faster than Gen3
NVMe SSDs.
- NVIDIA DGX software stack, which includes optimized software
for AI and data science workloads, delivering maximized performance
and enabling enterprises to achieve a faster return on their
investment in AI infrastructure.
A single rack of five DGX A100 systems replaces a data center of
AI training and inference infrastructure, with 1/20th the power
consumed, 1/25th the space and 1/10th the cost.
AvailabilityNVIDIA DGX A100 systems start at
$199,000 and are shipping now through NVIDIA Partner Network
resellers worldwide. Storage technology providers DDN Storage, Dell
Technologies, IBM, NetApp, Pure Storage and Vast plan to integrate
DGX A100 into their offerings, including those based on the NVIDIA
DGX POD and DGX SuperPOD reference architectures.
NVIDIA DGX-Ready Data Center partners offer colocation services
in more than 122 locations across 26 countries to help customers
seeking cost-effective facilities to host their DGX infrastructure.
Customers can take advantage of these services to house and access
DGX A100 infrastructure inside validated, world-class data center
facilities.
Further information, including detailed technical specifications
and ordering details, is available at www.nvidia.com/DGX-A100.
About NVIDIANVIDIA’s 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/.
Media Contact:Shannon McPheeSenior PR
Managersmcphee@nvidia.com+1-310-920-9642
Certain statements in this press release including, but not
limited to, statements as to: the benefits, performance, features
and availability of our products, technologies and services,
including NVIDIA DGX A100, NVIDIA A100 Tensor Core GPUs, DGX
SuperPOD, NVIDIA Mellanox InfiniBand interconnects, DGX SuperPOD
reference architecture, NVIDIA DGXpert program, NVIDIA DGX-Ready
Software program, NVSwitch interconnect fabrics, NVLink technology,
Mellanox’s In-Network Computing and network acceleration engines,
NVIDIA DGX software stack, and NVIDIA DGX-Ready Data Center
partners 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.
© 2020 NVIDIA Corporation. All rights reserved. NVIDIA, the
NVIDIA logo, DGX, NVIDIA DGX A100, NVIDIA DGX SuperPOD, NVLink and
NVSwitch 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.
A photo accompanying this announcement is available at
https://www.globenewswire.com/NewsRoom/AttachmentNg/4a14145b-a64e-4cbf-8652-369053370558
NVIDIA (NASDAQ:NVDA)
과거 데이터 주식 차트
부터 6월(6) 2024 으로 7월(7) 2024
NVIDIA (NASDAQ:NVDA)
과거 데이터 주식 차트
부터 7월(7) 2023 으로 7월(7) 2024