IBM Systems Magazine, Power Systems - December 2017 - 15
hardware in isolation. The
portfolio delivers value at the full
solution level as well. PowerAI
takes our most advanced
GPU-enabled hardware and
delivers with it the leading open
frameworks that deep learning
models are being built with
today. IBM-supported tools
like Tensorflow, Caffe, Theano,
Torch and Chainer, which are
optimized for the accelerated
POWER platform, are available
for download. IBM Research
has delivered further software
advances such as Distributed
Deep Learning, which leads the
industry in the ability to scale
GPU workloads across a cluster.
ISM: What role does OpenPOWER play in cognitive?
SC: The launch of the OpenPOWER Foundation at the end
of 2013 continues to be key to
IBM embraced the view of
open and how to build a systemlevel platform that's the best for
cognitive workloads. That allows
us to do what we do best on the
processor and allows others like
NVIDIA to do what they do best in
the GPU technology. As a result,
the client gets unprecedented
system-level value. We've created
technologies like NVLink, which
allows the transfer of data
between the CPU and GPU to be
up to 5X faster.
Because we've taken a systemslevel approach for machine
learning and deep learning
techniques, clients can leverage the best innovation
in acceleration and CPUs. The joint development of
technologies enables them to work better together.
That's further augmented with the PowerAI
That's not done anywhere else in the industry
and it's really foundational to what we believe is the
value of being open. It's about having a community
of innovators developing upon the architecture.
IBM's work for the U.S. Department of Energy to
deliver supercomputers to Oak Ridge National
Labs and Lawrence Livermore National Labs
leverages unique technology that came as result of
OpenPOWER partners NVIDIA, Mellanox and IBM
jointly innovating, jointly delivering value.
As clients participate in the broader ecosystem
of cognitive workloads and create models around
their machine learning and deep learning, they get
the best technology and simple access to ecosystembased tools and capabilities.
ISM: Is cognitive important to smaller clients?
SC: For every company of every size, cognitive is
going to become important. IBM's goal is to bring
cognitive capabilities to every client. It will be imperative for clients of all sizes to participate in this age
of insight if they want to differentiate themselves.
IBM Watson* solutions offer a great opportunity
to access pretrained cognitive models as a service.
I've spoken with many clients who have taken what
they do transactionally on their own premises and
observed an unexplained anomaly in the behavior
in their data. These clients have augmented their
analytics with Watson capabilities as a service and
gained deeper insights. We're seeing clients realize
"the art of the possible."
With IBM Cognitive Systems, any client can
develop their own machine learning and deep
learning models on premises using leadership
capabilities like distributed deep learning and
open industry frameworks in PowerAI. They can
also leverage the capability from our partners
like Nimbix, which has taken our best servers for
Learn More at Think 2018
To provide additional information for clients about cognitive computing,
deep learning and artificial intelligence, IBM is sponsoring Think 2018.
The event, which will be held March 19-22 in Las Vegas, will include sessions
on Power Systems* topics as well as an IT infrastructure campus featuring
experts who will be on hand to answer questions. To register or learn more,
accelerating cognitive computing
and preloaded them with
industry leading open-source
More and more clients are
starting to test the waters with
what they can do with cognitive.
The value of our portfolio is
not just about the technology
that's in it but it's also about the
support capabilities that we offer.
If clients take their cognitive
capabilities into production, they
want to have clear line of sight
that they can do that with the
best innovation and with the best
support. Leveraging solutions
like PowerAI offers them a chance
to experiment with cognitive
while knowing that a road map,
backed by the full support of IBM
and the innovation of the full
OpenPOWER community, exists to
bring that into production.
ISM: Besides cognitive
computing, what else
can readers expect from
Power Systems in 2018?
SC: IBM will be delivering
POWER9 technologies, both
accelerated and nonaccelerated, to the Department of Energy
in 2017. We will also deliver
capabilities built upon POWER9
to market at the end of 2017. In
2018 the POWER9 processor will
be brought to the entre portfolio.
IBM remains fiercely committed
to our clients on AIX and
IBM i. Both OSes are vital for IBM
Cognitive Systems and provide a
key data source clients will use
in their cognitive workloads. We
made some exciting announcements in October 2017 around
cloud 2.0 for IBM i and AIX,
bringing AIX to the IBM Cloud.
We will continue to drive innovations into AIX and IBM i with
POWER9 in 2018.
Evelyn Hoover is content director
of IBM Systems Magazine.
ibmsystemsmag.com DECEMBER 2017 // 15