Check out weekly insights into the world of HPC and AI with this HPC Top 5 Stories.

1. HPC TOP 5 STORIES
Weekly Insights into the World of
High Performance Computing

2. HPC AND AI HAVE PAVED THE WAY FOR
GROUNDBREAKING DISCOVERIES IN SCIENCE,
MEDICINE, AND OTHER FIELDS…

3. PROVING THAT AI IS THE FUTURE OF
SUPERCOMPUTING…

4. HERE ARE THE “TOP FIVE” STORIES
HIGHLIGHTING THIS WEEK’S
ANNOUNCEMENTS
TOP 5

5. TOP 5
1. World’s Largest Server Companies Announce NVIDIA Volta Systems Supercharged for AI
2. NVIDIA TensorRT 3 Dramatically Accelerates AI Inference for Hyperscale Data Centers
3. China’s Top Server-Builders Adopt NVIDIA AI Design for Cloud Computing
4. China’s Top Cloud Providers Adopt NVIDIA Volta GPUs to Supercharge Next-Gen AI Services
5. CUDA 9 Features Revealed: Volta, Cooperative Groups and More

6. WORLD’S LARGEST SERVER COMPANIES ANNOUNCE
NVIDIA VOLTA SYSTEMS SUPERCHARGED FOR AI
NVIDIA and its systems partners Dell EMC, Hewlett Packard
Enterprise, IBM and Supermicro today unveiled more than
10 servers featuring NVIDIA® Volta architecture-based
Tesla® V100 GPU accelerators -- the world's most advanced
GPUs for AI and other compute-intensive workloads.
NVIDIA V100 GPUs, with more than 120 teraflops of deep
learning performance per GPU, are uniquely designed to
deliver the computing performance required for AI deep
learning training and inferencing, high performance
computing, accelerated analytics and other demanding
workloads. A single Volta GPU offers the equivalent
performance of 100 CPUs, enabling data scientists,
researchers and engineers to tackle challenges that were
once impossible.
1
PRESS RELEASE

7. NVIDIA TENSORRT 3 DRAMATICALLY ACCELERATES AI
INFERENCE FOR HYPERSCALE DATA CENTERS
2
NVIDIA today unveiled new NVIDIA® TensorRT™ 3 AI
inference software that sharply boosts the performance and
slashes the cost of inferencing from the cloud to edge
devices, including self-driving cars and robots.
The combination of TensorRT 3 with NVIDIA GPUs delivers
ultra-fast and efficient inferencing across all frameworks
for AI-enabled services -- such as image and speech
recognition, natural language processing, visual search and
personalized recommendations. TensorRT and NVIDIA Tesla®
GPU accelerators are up to 40 times faster than CPUs(1) at
one-tenth the cost of CPU-based solutions.(2)
PRESS RELEASE WEBINAR

8. CHINA’S TOP SERVER- BUILDERS ADOPT NVIDIA AI
DESIGN FOR CLOUD COMPUTING
3
PRESS RELEASE
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 centers.
Through the NVIDIA HGX Partner Program, NVIDIA is
providing each OEM with early access to the NVIDIA HGX
reference architecture for data centers, NVIDIA GPU
computing technologies, and design guidelines. HGX is
the same data center design used in Microsoft's Project
Olympus initiative, Facebook's Big Basin systems and
NVIDIA DGX-1™ AI supercomputers.

9. CHINA’S TOP CLOUD PROVIDERS ADOPT NVIDIA VOLTA
GPUS TO SUPERCHARGE NEXT-GEN AI SERVICES
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 centers and cloud-service
infrastructures.
4
PRESS RELEASE

10. CUDA 9 FEATURES REVEALED:
VOLTA, COOPERATIVE GROUPS AND MORE
5
At the 2017 GPU Technology Conference NVIDIA announced
CUDA 9, the latest version of CUDA’s powerful parallel
computing platform and programming model. CUDA 9 is
now available as a free download.
Benefits include:
• Support for the Volta GPU architecture, including the
new Tesla V100 accelerator;
• Cooperative Groups, a new programming model for
managing groups of communicating threads;
• A new API (preview feature) for programming Tensor
Core matrix multiply and accumulate operations on
Tesla V100.
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