Get the latest announcements on Microsoft and NVIDIA's HGX-1 platform for artificial intelligence cloud computing, Facebook's new AI server, and the launch of Jetson TX2 for AI computing in cameras, sensors, and more.

1. Weekly insights into the new computing model
DEEP LEARNING TOP 5
Mar 9th, 2017

2. ACCELERATED COMPUTING IS THE NEW COMPUTE
MODEL THAT ADDRESSES THE REQUIREMENTS OF
ARTIFICIAL INTELLIGENCE.

3. Accelerated computing in
hyperscale data centers are
required to power cloud AI
workloads.
It will fulfill the promise of IoT
for manufacturing, industrial,
and retail, by bringing
intelligence to edge devices.

4. The world’s largest enterprises
are using accelerated
computing technology to
successfully meet the demands
of AI.

5. TOP 5
1. Microsoft and NVIDIA Announce HGX-1 Platform Standard for AI Cloud Computing
2. Facebook’s New AI Training Server is Nearly Twice as Fast
3. NVIDIA’s Jetson TX2 Makes AI Computing Possible Within Cameras, Sensors, and More
4. Fujitsu Builds New AI Supercomputer, Based on 24 NVIDIA DGX-1s
5. Machine Learning and Data Analysis are Critical for Google’s Success in the Cloud
HERE ARE THE “TOP FIVE” STORIES HIGHLIGHTING
HOW DEEP LEARNING AND AI ARE ACCELERATING
ENTERPRISES THIS WEEK …

6. MICROSOFT AND NVIDIA ANNOUNCE HGX-1 PLATFORM
STANDARD FOR AI CLOUD COMPUTING
“NVIDIA, Microsoft, and Ingrasys announced today
their plans for HGX-1, a hyperscale GPU accelerator
for AI and cloud computing. This open-source design
is being released in conjunction with Microsoft’s
Project Olympus initiative at the OCP (Open
Compute Project) conference and is designed to give
hyperscale datacenters a high performance and
flexible path for the machine learning industry.”
1
READ NOW
For the full article from Forbes …
“I don’t think there’s anything out there today that
gets you that performance scalability.”
- Kushagra Vaid, GM for Microsoft Azure

7. FACEBOOK’S NEW AI TRAINING SERVER IS NEARLY
TWICE AS FAST
“Facebook today announced a new server design it
calls Big Basin … Big Basin can now train on
learning models 30 percent larger than its
predecessor, Facebook says. It can also crunch
through the massive number sets used by an AI
system to improve itself at nearly twice the speed,
according to tests conducted on standardized
neural network models..”
2
READ NOW
For the full article from The Verge …
“The aim is to provide a lot more compute power to
train more and more complex AI models, creating a
new server that will fit even better with our needs.”
-Kevin Lee, Facebook, Technical Program Manager

8. NVIDIA’S JETSON TX2 MAKES AI COMPUTING
POSSIBLE WITHIN CAMERAS, SENSORS, AND MORE
“Nvidia has a new generation of its Jetson
embedded computing platform for devices at the
edge of a network, including things like traffic
cameras, manufacturing robotics, smart sensors
and more. The Jetson TX2 has twice the
performance of its predecessor, the TX1, or it can
also redirect efficiency to power savings, using
less than half the power consumption of the
original to achieve the same processing abilities.”
3
READ NOW
For the full article from TechCrunch…
"Jetson TX2 brings powerful AI capabilities at the edge,
making possible a new class of intelligent machines.“
-Deepu Talla, VP and GM of Tegra

9. FUJITSU BUILDS NEW AI SUPERCOMPUTER, BASED ON
24 NVIDIA DGX-1S
“Fujitsu announced today that it is using 24 NVIDIA
DGX-1 AI systems to help build a supercomputer
for RIKEN, Japan’s largest comprehensive research
institution, for deep learning research. The largest
customer installation of DGX-1 systems to date,
the supercomputer will accelerate the application
of AI to solve complex challenges in healthcare,
manufacturing and public safety.”
4
READ NOW
For the full article from NVIDIA …
“We believe that the NVIDIA DGX-1-based system will
accelerate real-world implementation of the latest AI
technologies as well as research into next-generation AI
algorithms,”
-Arimichi Kunisawa, Fujitsu, Head of Technical Computing
Solutions

10. MACHINE LEARNING AND DATA ANALYSIS ARE CRITICAL
FOR GOOGLE’S SUCCESS IN THE CLOUD
“After five months of suspense, yesterday Fei-Fei
Li revealed the focus of her new role during
her keynote address at Google’s cloud developer
conference, Cloud Next 2017. She will apply her
experience to democratize machine learning to the
enterprise. Her task: Study the problems that
machine learning could solve in a wide variety of
industries and enable enterprises to adopt machine
learning.”
5
READ NOW
For the full article from Network World…
“Cloud is the best vehicle to democratize AI. It can deliver
the power of AI to so many people and businesses. ”
-Fei-Fei Li, Google, Cloud Chief Scientist

11. HOW CAN DEEP LEARNING IMPACT
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