China’s technology giants are adopting the new NVIDIA Volta GPU computing platform to accelerate AI for a broad range of enterprise and consumer applications.
Speaking at the GPU Technology Conference in Beijing, NVIDIA founder and CEO Jensen Huang announced that Alibaba Cloud, Baidu, and Tencent are incorporating NVIDIA Tesla V100 GPU accelerators into their data centres and cloud-service infrastructures.
NVIDIA also announced that China’s leading original equipment manufacturers — including Inspur, Lenovo and Huawei — are using the NVIDIA HGX reference architecture to offer Volta-based accelerated systems for hyperscale data centres.
Using HGX as a starter “recipe,” OEM and original design manufacturer partners can work with NVIDIA to more quickly design and bring to market a wide range of qualified GPU-accelerated AI systems for hyperscale data centres to meet the industry’s growing demand for AI cloud computing.
China’s Top Cloud Providers Adopt
NVIDIA Volta GPUs to Supercharge Next-Gen AI Services
Alibaba Cloud, Baidu and Tencent Upgrade Data
Centres
with NVIDIA Tesla V100 GPU Accelerators
SINGAPORE—September 26, 2017—NVIDIA
today announced that China’s technology giants are adopting the new NVIDIA®
Volta GPU computing platform to accelerate AI for a broad
range of enterprise and consumer applications.
Speaking
at the GPU Technology
Conference in Beijing, NVIDIA founder and CEO
Jensen Huang announced that Alibaba Cloud, Baidu and Tencent are incorporating NVIDIA
Tesla® V100 GPU accelerators into
their data centres and cloud-service infrastructures.
“AI is the
most important technology development of our time, with the greatest potential
to help society,” Huang said. “As the world’s leading cloud providers deploy
the world’s best AI platform, with Volta GPUs and NVIDIA software, we’ll see
amazing breakthroughs in medicine, autonomous transportation, precision manufacturing
and much more.”
Alibaba Cloud,
Baidu, Tencent Using V100 GPUs
Alibaba
Cloud, Baidu and Tencent are upgrading their massive data centres, shifting
from NVIDIA Pascal™ architecture-based systems to Volta-based platforms, which
offer extraordinary speed and scalability for AI inferencing and training.
At
the heart of the new Volta-based systems is the NVIDIA V100 data centre GPU.
Built with 21 billion transistors, it provides a 5x improvement over the
preceding NVIDIA Pascal architecture P100 GPU accelerators, while delivering
the equivalent performance of 100 CPUs for deep
learning.
This performance surpasses by 4x the improvements that Moore’s law would have
predicted over the same period of time.
Broad Support
for Volta GPUs
“Working
closely with NVIDIA, we are taking full advantage of the power and efficiency
of Volta to strengthen Baidu Cloud, Intelligent Driving and our other AI
initiatives. By leaning into the most advanced AI technology available, we are
accelerating the application of AI to create more opportunities for our
customers and society as a whole.”
— YaQin Zhang, president of Baidu
“With
Alibaba Cloud’s leading cloud computing capabilities and accelerating AI
developments worldwide, we look forward to exploring enhanced AI-enabled
services and cost-effective AI research and development by collaborating with
NVIDIA and its Volta platform.”
— Jin Li, vice president of Alibaba Cloud.
“We use AI
extensively on our products to improve the user experience, such as voice
recognition in WeChat, augmented reality in QQ and Qzone, as well as providing
data intelligence services on Tencent Cloud. Volta GPUs will enable our
developers with unprecedented computing power to enhance our products, and we
look forward to bringing the power of Volta with HGX to other businesses soon
through Tencent Cloud.”
— Dowson
Tong, senior executive vice president of Tencent and president of its Social Network
Group
NVIDIA also
announced that China’s leading original equipment manufacturers — including
Inspur, Lenovo and Huawei — are using the NVIDIA
HGX reference architecture to offer Volta-based
accelerated systems for hyperscale data centres.
China’s Top Server-Builders Adopt NVIDIA AI Design
for Cloud Computing
Huawei, Inspur, Lenovo Select
NVIDIA Volta HGX Architecture to Build AI Systems for Data Centres
SINGAPORE—September 26, 2017—NVIDIA
today announced that China’s leading original equipment manufacturers (OEMs) — including Huawei, Inspur and
Lenovo — are using the NVIDIA®
HGX reference architecture to
offer Volta architecture-based accelerated systems for
hyperscale data centres.
Through
the NVIDIA
HGX Partner Program, NVIDIA is providing each OEM
with early access to the NVIDIA HGX reference architecture for data centres,
NVIDIA GPU computing technologies, and design guidelines. HGX is the same data
centre design used in Microsoft’s
Project Olympus initiative, Facebook’s Big Basin systems and
NVIDIA
DGX-1™ AI supercomputers.
Using HGX
as a starter “recipe,” OEM and original design manufacturer (ODM) partners can
work with NVIDIA to more quickly design and bring to market a wide range of
qualified GPU-accelerated AI systems for hyperscale data centres to meet the
industry’s growing demand for AI cloud computing.
New HGX
server designs coming to market — with eight NVIDIA
Tesla® V100 GPU accelerators in a hybrid cube mesh with NVIDIA
NVLink™ interconnect technology
— include Lenovo HG690X and HG695X, Inspur 2U-8GPUAGX-2 and Huawei G-series
heterogenous servers.
With
GPUs based on the NVIDIA
Volta architecture offering three times the
performance of its predecessor, manufacturers can meet market demand with new
products based on the latest NVIDIA technology.
“As companies increasingly harness the
capabilities of artificial intelligence, demand continues to grow for
accelerated computing in the data centre,” said Ian Buck, general manager of
Accelerated Computing at NVIDIA. “Our new Volta-based HGX design sets the
standard for lightning-fast, energy-efficient data centres that can support the
most demanding AI training and inference requirements.”
Highly
configurable to meet workload needs, HGX can easily combine GPUs and CPUs in a
number of ways for high performance computing, deep learning training and
inferencing.
The
standard HGX design architecture includes eight NVIDIA Tesla GPU accelerators
in the SXM2 form factor and connected in a cube mesh using NVIDIA NVLink
high-speed interconnects and optimized PCIe topologies. With a modular design,
HGX enclosures are suited for deployment in existing data centre racks across
the globe, using hyperscale CPU nodes as needed.
Industry Support for Volta HGX Platform
“NVIDIA is
the world’s leading artificial intelligence and accelerated computing
technology provider. Inspur has been focusing on the research and development
of deep learning and AI computing systems for years; in May this year, Inspur
and NVIDIA jointly released an HGX-based system equipped with the latest NVIDIA
Tesla V100 GPU and NVLink high-speed interconnect technology, which is designed
to provide maximum throughput with higher power consumption efficiency for high
performance computing in scientific research and engineering, taking AI
computing to the next level.”
— Leijun Hu, vice president
of Inspur Group
“NVIDIA HGX
architecture provides exceptional capabilities and energy efficiency. Combined
with Huawei's strength in computing and connectivity, we can provide an
outstanding computing solution with AI capabilities to growing numbers of
enterprises.”
— Wu Zhan, vice president of
IT Server Product Line at Huawei
“New AI
workloads are creating strong demand for high-performance and flexible data
centre architectures. NVIDIA’s modular HGX design offers best-in-class
performance for these new AI workloads. Volta HGX
designs will help us meet our customers’ needs while reducing their energy
requirements.”
— Paul Ju, vice president
and general manager of Global Hyperscale Segment at Lenovo
NVIDIA also
announced today that Alibaba, Baidu and Tencent are incorporating new Volta
architecture-based NVIDIA Tesla V100 GPU accelerators into their data centres
and cloud-service infrastructures.
Keep Current on NVIDIA
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/.
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