4. GPU Deep Learning is the foundation for the
fourth industrial revolution driven by AI.
5. GPU deep learning is a new computing model that spans training,
inference, and the billions of intelligent devices that will take
advantage of deep learning to perform intelligent tasks.
6. GPU Deep Learning in the cloud will accelerate enterprise AI.
Powerful partnerships are already in place.
7. “We’ve worked with Microsoft to
create a lightning-fast AI
platform that is available from
on-premises with our DGX-1
supercomputer to the Microsoft
Azure cloud.”
- Jen-Hsun Huang
CEO at NVIDIA
PRESS RELEASE
8.
9. “By working closely with NVIDIA
and harnessing the power of
GPU-accelerated systems, we’ve
made Cognitive Toolkit and
Microsoft Azure the fastest,
most versatile AI platform.”
- Harry Shum
Executive VP of AI and
Research at Microsoft
PRESS RELEASE
10.
11. “With Microsoft’s global reach,
every company around the world
can now tap the power of AI to
transform their business.”
- Jen-Hsun Huang
CEO at NVIDIA
PRESS RELEASE
12. IBM CEO Ginne Rometty saw a
two trillion dollar opportunity
in machine learning for
enterprise.
This ignited their recent drive
in advancing cloud computing
…
READ MORE
13. This joint solution, runs on
an IBM server built
specifically for AI and
utilizes NVIDIA NVLink to
optimize AI into the
enterprise.
… And developed PowerAI
with NVIDIA’s GPUDL toolkit
that accelerates machine
learning training and AI tasks.
14.
15. “PowerAI democratizes Deep
Learning and other advanced
analytics technologies by giving
enterprise data scientists and
research scientists alike an easy to
deploy platform to rapidly advance
their journey on AI.”
-Ken King
General Manager for
OpenPOWER
TechRepublic
16. “Putting NVIDIA’s technology into
the IBM system will speed up
performance for such emerging
workloads as AI, deep learning, and
data analytics.”
-eWeek
READ MORE
17. -Karl Freund
Moor Insights & Strategy
“With these two partnerships in place, NVIDIA has aligned itself
with two of the largest suppliers of enterprise IT technology and
services to accelerate the adoption of AI in the enterprise and help
take AI into the mainstream of global businesses.”
READ NOW
18. GOOGLE
On Google Cloud, GPU Deep Learning is available for Google Compute Engine and
Google Cloud Machine Learning users to create new AI services and applications.
Tesla P100 delivers a 12x increase in
neural network training performance
compared with a previous generation
offering.
READ MORE
19. Amazon has boosted their cloud-
computing performance with new
GPU-Accelerated AWS instances that
are designed for large-scale machine
learning, deep learning, molecular
modeling, and computational finance
workloads.
READ MORE
20. “These (P2) instances were designed to
chew through tough large-scale
machine learning, deep learning,
computational fluid dynamics, seismic
analysis, molecular modeling, genomics,
and computational finance workloads.”
-Jeff Barr
Chief Evangelist at AWS
ZDNet
21. SAP
Enterprise software giant SAP is
now using DGX-1 supercomputers
to build machine learning
solutions for SAP’s 320,000
customers in 190 countries. The
system is designed to help data
scientists innovate get to market
faster with AI applications.
READ MORE
22. SAP
“SAP and ourselves are working together to bring hundreds of
customers of SAP the benefit of AI computing. Now with the
partnership of SAP, we will soon have applications running on
these [DGX-1] servers to serve the world’s largest enterprises.”
-Jen-Hsun Huang
CEO at NVIDIA
ITPro UK
23. ““We expect in the real-time space,
robotics and computer vision
becoming a reality, predictive
analytics in the big-data space, even
software writing software. The goal is
always knowledge, and the
partnership with SAP is going to be
key for us to make this a reality.”
-Guy Gueritz
Global Account Manager of SAP, NVIDIA
SAP NEWS
24. These partnerships with the world’s largest
companies allow NVIDIA GPU Deep Learning platform
to be available for every company.
EXPLORE HERE
25. This movement has quickly accelerated
AI into one of today’s biggest enterprise
technologies.
READ MORE