Hewlett Packard Enterprise (NYSE: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)
“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.”
AI advances 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)
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.
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.
HPE Apollo 6500 Gen10 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.
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.
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.
“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."
HPE Deep Learning 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.
“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.”
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.
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
AvailabilityHPE 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.
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.(2) Sizing the prize. What’s the real
value of AI for your business and how can you capitalise?, PwC,
June 2017(3) 2018 Gartner CIO Agenda Survey, see this Gartner press
release from February 13, 2018:
https://www.gartner.com/newsroom/id/3856163(4) Artificial
Intelligence – The Next Digital Frontier?, McKinsey Global
Institute, June 2017(5) PCIe Gen3: 32GB/sec., NVLink: up to
300GB/sec.
About Hewlett Packard EnterpriseHewlett Packard
Enterprise is an industry leading technology company that enables
customers to go further, faster. With the industry’s most
comprehensive portfolio, spanning the cloud to the data center to
workplace applications, our technology and services help customers
around the world make IT more efficient, more productive and more
secure.
Editorial contact
Patrik Edlund,
HPEpatrik.edlund@hpe.com
Hewlett Packard Enterprise (NYSE:HPE)
Historical Stock Chart
From Aug 2024 to Sep 2024
Hewlett Packard Enterprise (NYSE:HPE)
Historical Stock Chart
From Sep 2023 to Sep 2024