HPE Launches Vertical
AI Solutions, Dramatically Accelerates Deep Learning Training
New, purpose-built
solutions help customers create competitive advantage by adopting artificial
intelligence in their enterprise
SINGAPORE – March 22,
2018 – Hewlett Packard Enterprise (HPE) today
announced new offerings to help customers ramp up, optimize and scale
artificial intelligence (AI) usage across business functions to drive outcomes
such as better demand forecasting, improved operational efficiency and
increased sales. The new offerings include:
2018 – Hewlett Packard Enterprise (HPE) today
announced new offerings to help customers ramp up, optimize and scale
artificial intelligence (AI) usage across business functions to drive outcomes
such as better demand forecasting, improved operational efficiency and
increased sales. The new offerings include:
- HPE Digital Prescriptive
Maintenance Services, the first in a series of AI-enabled
industry offerings from HPE Pointnext, which automates problem prevention
and increases productivity of industrial equipment - HPE Artificial Intelligence
Transformation Workshop, providing consulting expertise
from HPE Pointnext to help customers get started with AI, evolve their
strategic data and analytics initiatives and prioritize AI use cases - HPE Apollo 6500 Gen10
System, a next-generation high performance computing system
purpose-built for deep learning that delivers a 3x faster model training than
previous generations(1) - HPE has also extended its AI
partner ecosystem through a reseller agreement with WekaIO to
deliver optimized storage performance in AI environments
PricewaterhouseCoopers
predicts the global GDP to grow 14 percent – the equivalent of $15.7 trillion –
by 2030 as a result of AI, with increased labor productivity and consumer
demand being the most impactful business outcomes.(2) However,
while AI holds great promise, current adoption rates are low. According to
Gartner’s 2018 CIO Agenda Survey, four percent of CIOs globally have
implemented AI, while a further 46 percent have developed plans to do so.(3)
predicts the global GDP to grow 14 percent – the equivalent of $15.7 trillion –
by 2030 as a result of AI, with increased labor productivity and consumer
demand being the most impactful business outcomes.(2) However,
while AI holds great promise, current adoption rates are low. According to
Gartner’s 2018 CIO Agenda Survey, four percent of CIOs globally have
implemented AI, while a further 46 percent have developed plans to do so.(3)
“Global tech giants
are investing heavily in AI, but the majority of enterprises are struggling
both with finding viable AI use cases and with building technology environments
that support their AI workloads. As a result, the gap between leaders and
laggards is widening,” said Beena Ammanath, Global Vice President, Artificial
Intelligence, HPE Pointnext. “HPE is best positioned to help customers make AI
work for their enterprise, regardless of where they are in their AI adoption.
While others provide AI components, we provide complete AI solutions from strategic
advisory to purpose-built technology, operational support and a strong AI
partner ecosystem to tailor the right AI solution for each organization.”
are investing heavily in AI, but the majority of enterprises are struggling
both with finding viable AI use cases and with building technology environments
that support their AI workloads. As a result, the gap between leaders and
laggards is widening,” said Beena Ammanath, Global Vice President, Artificial
Intelligence, HPE Pointnext. “HPE is best positioned to help customers make AI
work for their enterprise, regardless of where they are in their AI adoption.
While others provide AI components, we provide complete AI solutions from strategic
advisory to purpose-built technology, operational support and a strong AI
partner ecosystem to tailor the right AI solution for each organization.”
AI advances
maintenance from predictive to prescriptive
maintenance from predictive to prescriptive
The new HPE offerings
enable customers to explore, evolve and expand AI applications aligned to their
business and industry needs, accelerating time to value. HPE is introducing a
series of AI industry solutions for predefined use cases, starting with HPE Digital Prescriptive
Maintenance Services, delivered by HPE Pointnext. While predictive maintenance
detects when an industrial equipment is likely to fail, prescriptive maintenance
predicts, suggests and automates the right action to fix the problem before it
causes harm. According to McKinsey Global Institute, AI-enabled asset
maintenance can lead to up to 20 percent EBIT improvement in industries like
electric utilities by increasing capital productivity.(4)
enable customers to explore, evolve and expand AI applications aligned to their
business and industry needs, accelerating time to value. HPE is introducing a
series of AI industry solutions for predefined use cases, starting with HPE Digital Prescriptive
Maintenance Services, delivered by HPE Pointnext. While predictive maintenance
detects when an industrial equipment is likely to fail, prescriptive maintenance
predicts, suggests and automates the right action to fix the problem before it
causes harm. According to McKinsey Global Institute, AI-enabled asset
maintenance can lead to up to 20 percent EBIT improvement in industries like
electric utilities by increasing capital productivity.(4)
HPE Digital
Prescriptive Maintenance combines services from HPE Pointnext – such as
consulting, proof of value and implementation – with technologies and reference
architectures from HPE and select partners. The solution captures all relevant
data sources in the enterprise, including real-time and batch data from IoT
devices, data centers and the cloud. Based on both supervised learning for
failure prediction and unsupervised learning for anomaly detection, HPE Digital
Prescriptive Maintenance prescribes and automates actions to prevent industrial
equipment failure and optimize its productivity.
Prescriptive Maintenance combines services from HPE Pointnext – such as
consulting, proof of value and implementation – with technologies and reference
architectures from HPE and select partners. The solution captures all relevant
data sources in the enterprise, including real-time and batch data from IoT
devices, data centers and the cloud. Based on both supervised learning for
failure prediction and unsupervised learning for anomaly detection, HPE Digital
Prescriptive Maintenance prescribes and automates actions to prevent industrial
equipment failure and optimize its productivity.
HPE also introduced
the new HPE Artificial Intelligence Transformation
Workshop that helps enterprises get started rapidly
with the identification of AI use cases aligned to their business priorities.
In this highly interactive one-day workshop, HPE Pointnext AI experts work with
the customer’s business and technology decision makers to assess their data and
advanced analytics needs and create a tailored high-level plan to accelerate
the AI exploration phase towards a set of AI use case implementations.
the new HPE Artificial Intelligence Transformation
Workshop that helps enterprises get started rapidly
with the identification of AI use cases aligned to their business priorities.
In this highly interactive one-day workshop, HPE Pointnext AI experts work with
the customer’s business and technology decision makers to assess their data and
advanced analytics needs and create a tailored high-level plan to accelerate
the AI exploration phase towards a set of AI use case implementations.
HPE Apollo 6500 Gen10
dramatically accelerates time to value with deep learning applications
dramatically accelerates time to value with deep learning applications
HPE’s solutions and
consulting services are backed by powerful purpose-built technology to enable
customers’ AI deployments. Training a deep learning model is an iterative
process that requires high performance GPU accelerators running in parallel
architectures that handle multiple tasks simultaneously. The new HPE Apollo 6500 Gen10 System with support for
eight NVIDIA® Tesla® V100 GPUs delivers
dramatic increases in application performance, enabling a 3x faster model
training than previous generations. As a result, enterprises can realize deep
learning business outcomes faster.
consulting services are backed by powerful purpose-built technology to enable
customers’ AI deployments. Training a deep learning model is an iterative
process that requires high performance GPU accelerators running in parallel
architectures that handle multiple tasks simultaneously. The new HPE Apollo 6500 Gen10 System with support for
eight NVIDIA® Tesla® V100 GPUs delivers
dramatic increases in application performance, enabling a 3x faster model
training than previous generations. As a result, enterprises can realize deep
learning business outcomes faster.
HPE closely
collaborated with NVIDIA to embed the high-bandwidth, energy-efficient NVIDIA
NVLink™ interconnect into HPE Apollo 6500 Gen10, enabling ultra-fast
communication between GPUs. This technology allows data sharing at rates of up
to 10x faster than the traditional PCIe Gen3 interconnect.(5) The
innovative systems design of the HPE Apollo 6500 Gen10 allows for a high degree
of flexibility with a range of configuration and topology options to match each
workload.
collaborated with NVIDIA to embed the high-bandwidth, energy-efficient NVIDIA
NVLink™ interconnect into HPE Apollo 6500 Gen10, enabling ultra-fast
communication between GPUs. This technology allows data sharing at rates of up
to 10x faster than the traditional PCIe Gen3 interconnect.(5) The
innovative systems design of the HPE Apollo 6500 Gen10 allows for a high degree
of flexibility with a range of configuration and topology options to match each
workload.
To increase
flexibility and choice for customers, HPE is extending its broad ecosystem of
AI solution partners by entering an agreement with WekaIO to resell its file
storage software WekaIO MATRIX™, complementing HPE’s Lustre-based
storage solutions. WekaIO MATRIX™ helps customers meet the demanding data
read/write requirements on the storage and data management components of
high-performance data analytics and AI environments. WekaIO MATRIX™ is
qualified for HPE Apollo 2000 Gen10 and HPE ProLiant DL360 Gen10.
flexibility and choice for customers, HPE is extending its broad ecosystem of
AI solution partners by entering an agreement with WekaIO to resell its file
storage software WekaIO MATRIX™, complementing HPE’s Lustre-based
storage solutions. WekaIO MATRIX™ helps customers meet the demanding data
read/write requirements on the storage and data management components of
high-performance data analytics and AI environments. WekaIO MATRIX™ is
qualified for HPE Apollo 2000 Gen10 and HPE ProLiant DL360 Gen10.
“Deep learning relies
on high performance computing to identify patterns and relationships within
massive amounts of data – however, traditional high performance systems are
unable to keep pace with these requirements,” said Pankaj Goyal, Vice
President, Hybrid IT Strategy and AI, HPE. “The HPE Apollo 6500 Gen10 System is
purpose-built to enable organizations of all sizes realize the benefits of deep
learning faster than ever before. And with WekaIO’s flash-optimized parallel
file system, HPE now provides the required throughput for compute-intensive
low-latency workloads.”
on high performance computing to identify patterns and relationships within
massive amounts of data – however, traditional high performance systems are
unable to keep pace with these requirements,” said Pankaj Goyal, Vice
President, Hybrid IT Strategy and AI, HPE. “The HPE Apollo 6500 Gen10 System is
purpose-built to enable organizations of all sizes realize the benefits of deep
learning faster than ever before. And with WekaIO’s flash-optimized parallel
file system, HPE now provides the required throughput for compute-intensive
low-latency workloads.”
HPE Deep Learning
Performance Guide recommends optimal hardware/software stacks for deep learning
workloads
Performance Guide recommends optimal hardware/software stacks for deep learning
workloads
HPE last year
introduced the HPE Deep Learning Cookbook,
a set of tools and recommendations to help customers choose the right
technology and configuration for their deep learning tasks. It now includes
the HPE Deep Learning Performance Guide which uses a massive
knowledge base of benchmarking results and measurements in the customer’s
environment to guide technology selection and configuration. By combining real
measurements with analytical performance models, the HPE Deep Learning
Performance Guide estimates the performance of any workload and makes recommendations
for the optimal hardware and software stack for that workload. Additionally, it
can detect bottlenecks in existing hardware and guide the design of future
systems for AI and deep learning.
introduced the HPE Deep Learning Cookbook,
a set of tools and recommendations to help customers choose the right
technology and configuration for their deep learning tasks. It now includes
the HPE Deep Learning Performance Guide which uses a massive
knowledge base of benchmarking results and measurements in the customer’s
environment to guide technology selection and configuration. By combining real
measurements with analytical performance models, the HPE Deep Learning
Performance Guide estimates the performance of any workload and makes recommendations
for the optimal hardware and software stack for that workload. Additionally, it
can detect bottlenecks in existing hardware and guide the design of future
systems for AI and deep learning.
“Customers pursuing
deep learning projects face a variety of challenges including a lack of mature
use case and technology capabilities that can compromise time to value,
performance and efficiency,” said Steve Conway, senior vice president, Hyperion
Research. “HPE’s domain expertise, services, technologies and engineering ties
to ecosystem partners promise to play an important role in driving AI adoption
into enterprises in the next few years.”
deep learning projects face a variety of challenges including a lack of mature
use case and technology capabilities that can compromise time to value,
performance and efficiency,” said Steve Conway, senior vice president, Hyperion
Research. “HPE’s domain expertise, services, technologies and engineering ties
to ecosystem partners promise to play an important role in driving AI adoption
into enterprises in the next few years.”
HPE will showcase
these new offerings along with its HPC and AI portfolio at NVIDIA’s GPU Technology Conference, March
26 to 29 in San Jose, Calif.
these new offerings along with its HPC and AI portfolio at NVIDIA’s GPU Technology Conference, March
26 to 29 in San Jose, Calif.
HPE is also hosting an
AI event in collaboration with The Economist on Thursday, March 22, in Chicago,
that will bring together leading thinkers and practitioners to explore “Promise
or Peril: Glimpses of an AI-Enabled Future.” A livestream of the panel
discussion with Kirk Bresniker, Chief Architect at Hewlett Packard Labs, will
be available at 6:10 a.m. PT on March 22 at https://events.economist.com/events-conferences/americas/innovation
AI event in collaboration with The Economist on Thursday, March 22, in Chicago,
that will bring together leading thinkers and practitioners to explore “Promise
or Peril: Glimpses of an AI-Enabled Future.” A livestream of the panel
discussion with Kirk Bresniker, Chief Architect at Hewlett Packard Labs, will
be available at 6:10 a.m. PT on March 22 at https://events.economist.com/events-conferences/americas/innovation
Availability
HPE Digital
Prescriptive Maintenance Services are now available in Europe and will be
globally available in June 2018 via HPE Pointnext. The HPE Artificial
Intelligence Transformation Workshop is globally available via HPE Pointnext.
The HPE Apollo 6500 Gen10 will be available from HPE and its channel partners
in May 2018. WekaIO MATRIX™ will be globally available from HPE and its channel
partners in May 2018.
Prescriptive Maintenance Services are now available in Europe and will be
globally available in June 2018 via HPE Pointnext. The HPE Artificial
Intelligence Transformation Workshop is globally available via HPE Pointnext.
The HPE Apollo 6500 Gen10 will be available from HPE and its channel partners
in May 2018. WekaIO MATRIX™ will be globally available from HPE and its channel
partners in May 2018.
Footnotes
(1) Benchmark tests
conducted by HPE in Houston in February 2018, using industry standard
TensorFlow and Caffe2 frameworks and the models inception3, resnet50 and vgg16,
showed that HPE Apollo 6500 Gen10 is on average 3.12 times faster than HPE
Apollo 6500 Gen9.
conducted by HPE in Houston in February 2018, using industry standard
TensorFlow and Caffe2 frameworks and the models inception3, resnet50 and vgg16,
showed that HPE Apollo 6500 Gen10 is on average 3.12 times faster than HPE
Apollo 6500 Gen9.
(3) 2018 Gartner CIO
Agenda Survey, see this Gartner press release from February 13, 2018: https://www.gartner.com/newsroom/id/3856163
Agenda Survey, see this Gartner press release from February 13, 2018: https://www.gartner.com/newsroom/id/3856163
(5) PCIe Gen3:
32GB/sec., NVLink: up to 300GB/sec.
32GB/sec., NVLink: up to 300GB/sec.
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