Penguin Computing, a leading provider of
high-performance computing (HPC), artificial intelligence (AI), enterprise data
center and cloud solutions, today announced the formation of the Penguin Computing
Artificial Intelligence Practice, a full service consultancy dedicated to
working with organizations to achieve their AI goals.
Penguin Computing is launching this practice in response to increased customer
demand for guidance and support on building and deploying AI and machine
learning (ML) projects. With technology advancements making AI a more practical
option to extract value from massive data sets, research from Goldman Sachs
indicates that AI will become a $109 billion market by 2025 as an increasing
number of senior technology officers move their organizations to this new
computing paradigm.
The new AI Practice will be led by Penguin Computing Chief Technology Officer
Philip Pokorny and will operate as a full-service consultancy, delivering
system design expertise, building custom technology solutions, and providing
professional services (including management and hosting of AI clusters) and
advanced level support.
Penguin Computing has already designed, built, managed and supported many large
AI systems, resulting in Penguin Computing being named Americas HPC Partner of
the Year for 2017 by NVIDIA,® a leader in the AI space.
“We’re finding that companies who have benefited from ML in the past,
particularly in vertical markets, or who are experimenting with AI now, have
the first element, well curated data sets,” said Pokorny. “However, expertise
in building systems to extract and manage the data so that its easily
accessible – especially at scale – is scarce. That’s where Penguin Computing
comes in.”
“Our customers typically get a highly consultative engagement with us,” said
Penguin Computing Chief Executive Officer Tom Coull. “The AI space is still in
its early stage and many people need help with how to use AI, what technologies
and products are the most effective, and how much it costs. To help customers
understand what’s possible, we’ve augmented the AI Practice’s design phase
consultations by sharing several diverse reference architectures that show all
AI systems are not the same and can be built for a wide range of performance
needs.”
“We’ve been working closely with the AI experts at Penguin Computing for the
last few years and it’s great to see AI becoming an even stronger focus of the
company’s efforts,” said Paresh Kharya, Director of Accelerated Computing at
NVIDIA. “Some of the AI systems Penguin Computing has already designed and
built are in the top 20 of the Green 100, deployed in by leading organizations.
We expect to see even more innovation coming from the AI Practice in the future
and look forward to being part of its success.”
