Country for PR: United States
Contributor: PR Newswire New York
Wednesday, March 28 2018 - 05:01
AsiaNet
Supermicro's New Scale-Up Artificial Intelligence and Machine Learning Systems with 8 NVIDIA Tesla V100 with NVLink GPUs Deliver Superior Performance and System Density
SAN JOSE, Calif., March 28, 2018 /PRNewswire-AsiaNet/ --

-- On display at GTC 2018, Supermicro GPU-optimized systems address market 
demand for 10x growth in deep learning, AI, and big data analytic applications 
with best-in-class features including NVIDIA Tesla V100 32GB with NVLink and 
maximum GPU density 

Super Micro Computer, Inc. (NASDAQ: SMCI), a global leader in enterprise 
computing, storage, networking solutions and green computing technology, today 
is showcasing the industry's broadest selection of GPU server platforms that 
support NVIDIA(R) Tesla(R) V100 PCI-E and V100 SXM2 GPU accelerators at the GPU 
Technology Conference in the San Jose McEnery Convention Center, booth 215, 
through March 29.

Photo - 
https://mma.prnewswire.com/media/659117/Super_Micro_Computer_GPU_Servers.jpg

For maximum acceleration of highly parallel applications like artificial 
intelligence (AI), deep learning, self-driving cars, smart cities, health care, 
big data, HPC, virtual reality and more, Supermicro's new 4U system with 
next-generation NVIDIA NVLink(TM) interconnect technology is optimized for 
maximum performance. SuperServer 4029GP-TVRT supports eight NVIDIA Tesla V100 
32GB SXM2 GPU accelerators with maximum GPU-to-GPU bandwidth for cluster and 
hyper-scale applications. Incorporating the latest NVIDIA NVLink technology 
with over five times the bandwidth of PCI-E 3.0, this system features 
independent GPU and CPU thermal zones to ensure uncompromised performance and 
stability under the most demanding workloads.

"On initial internal benchmark tests, our 4029GP-TVRT system was able to 
achieve 5,188 images per second on ResNet-50 and 3,709 images per second on 
InceptionV3 workloads," said Charles Liang, President and CEO of Supermicro.  
"We also see very impressive, almost linear performance increases when scaling 
to multiple systems using GPU Direct RDMA. With our latest innovations 
incorporating the new NVIDIA V100 32GB PCI-E and V100 32GB SXM2 GPUs with 2X 
memory in performance-optimized 1U and 4U systems with next-generation NVLink, 
our customers can accelerate their applications and innovations to help solve 
the world's most complex and challenging problems."

"Enterprise customers will benefit from a new level of computing efficiency 
with Supermicro's high-density servers optimized for NVIDIA Tesla V100 32GB 
data center GPUs," said Ian Buck, vice president and general manager of 
accelerated computing at NVIDIA. "Twice the memory with V100 drives up to 50 
percent faster results on complex deep learning and scientific applications and 
improves developer productivity by reducing the need to optimize for memory."

"At Preferred Networks, we continue to leverage Supermicro's high-performance 
4U GPU servers to successfully power our private supercomputers," said Ryosuke 
Okuta, CTO of Preferred Networks. "These state-of-the-art systems are already 
powering our current supercomputer applications, and we have already begun the 
process of deploying Supermicro's optimized new 4U GPU systems loaded with 
NVIDIA Tesla V100 32GB GPUs to drive our upcoming new private supercomputers."

Supermicro is also demonstrating the performance-optimized 4U SuperServer 
4029GR-TRT2 system that can support up to 10 PCI-E NVIDIA Tesla V100 
accelerators with Supermicro's innovative and GPU-optimized single root complex 
PCI-E design, which dramatically improves GPU peer-to-peer communication 
performance. For even greater density, the SuperServer 1029GQ-TRT supports up 
to four NVIDIA Tesla V100 PCI-E GPU accelerators in only 1U of rack space and 
the new SuperServer 1029GQ-TVRT supports four NVIDIA Tesla V100 SXM2 32GB GPU 
accelerators in 1U.  

With the convergence of big data analytics and machine learning, the latest 
NVIDIA GPU architectures, and improved machine learning algorithms, deep 
learning applications require the processing power of multiple GPUs that must 
communicate efficiently and effectively to expand the GPU network. Supermicro's 
single-root GPU system allows multiple NVIDIA GPUs to communicate efficiently 
to minimize latency and maximize throughput as measured by the NCCL 
P2PBandwidthTest.

For comprehensive information on Supermicro NVIDIA GPU system product lines, 
please go to https://www.supermicro.com/products/nfo/gpu.cfm.

Follow Supermicro on Facebook (https://www.facebook.com/Supermicro ) and 
Twitter (http://twitter.com/Supermicro_SMCI ) to receive their latest news and 
announcements.

About Super Micro Computer, Inc. (NASDAQ: SMCI)
Supermicro(R) (NASDAQ: SMCI), the leading innovator in high-performance, 
high-efficiency server technology is a premier provider of advanced Server 
Building Block Solutions(R) for Data Center, Cloud Computing, Enterprise IT, 
Hadoop/Big Data, HPC and Embedded Systems worldwide. Supermicro is committed to 
protecting the environment through its "We Keep IT Green(R)" initiative and 
provides customers with the most energy-efficient, environmentally-friendly 
solutions available on the market.

Supermicro, SuperServer, Server Building Block Solutions, and We Keep IT Green 
are trademarks and/or registered trademarks of Super Micro Computer, Inc.

All other brands, names and trademarks are the property of their respective 
owners.

SMCI-F

SOURCE  Super Micro Computer, Inc.
 
CONTACT: Michael Kalodrich, Super Micro Computer, Inc., michaelk@supermicro.com 
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