Hewlett Packard Enterprise (HPE) today announced new purpose-built platforms and services capabilities to help companies simplify the adoption of Artificial Intelligence, with an initial focus on a key subset of AI known as deep learning.
Many organizations today lack several integral requirements to implement deep learning, including expertise and resources; sophisticated and tailored hardware and software infrastructure; and the integration capabilities required to assimilate different pieces of hardware and software to scale AI systems. To help customers overcome these challenges and realize the potential of AI, HPE is announcing the following offerings:
· HPE’s Rapid Software Development for AI: An integrated hardware and software solution, based on the HPE Apollo 6500 system and purpose-built for high performance computing and deep learning applications.
· HPE Deep Learning Cookbook: Built by the AI Research team at Hewlett Packard Labs, the deep learning cookbook is a set of tools to guide customers in selecting the best hardware and software environment for different deep learning tasks. These tools help enterprises estimate performance of various hardware platforms, characterize the most popular deep learning frameworks, and select the ideal hardware and software stacks to fit their individual needs.
- HPE AI Innovation Center: Designed for longer term research projects, the innovation center will serve as a platform for research collaboration between universities, enterprises on the cutting edge of AI research and HPE researchers.
- Enhanced HPE Centers of Excellence (CoE): Designed to assist IT departments and data scientists who are looking to accelerate their deep learning applications and realize better ROI from their deep learning deployments in the near term, the HPE CoE offer select customers access to the latest technology and expertise including the latest NVIDIA GPUs on HPE systems.
 HPE Introduces New
Set of Artificial Intelligence Platforms and Services New offerings make
it easy for data scientists, developers and IT departments to rapidly deploy and scale deep learning models |
SINGAPORE – October
26, 2017 – Hewlett Packard Enterprise (HPE) today
announced new purpose-built
platforms and services capabilities to help companies simplify the adoption of
Artificial Intelligence, with an initial focus on a key subset of AI known as
deep learning.
26, 2017 – Hewlett Packard Enterprise (HPE) today
announced new purpose-built
platforms and services capabilities to help companies simplify the adoption of
Artificial Intelligence, with an initial focus on a key subset of AI known as
deep learning.
Inspired by the human brain, deep learning is
typically implemented for challenging tasks such as image and facial
recognition, image classification and voice recognition. To take advantage of
deep learning, enterprises need a high performance compute infrastructure to
build and train learning models that can manage large volumes of data to
recognize patterns in audio, images, videos, text and sensor data.
typically implemented for challenging tasks such as image and facial
recognition, image classification and voice recognition. To take advantage of
deep learning, enterprises need a high performance compute infrastructure to
build and train learning models that can manage large volumes of data to
recognize patterns in audio, images, videos, text and sensor data.
Many organizations lack several integral
requirements to implement deep learning, including expertise and resources;
sophisticated and tailored hardware and software infrastructure; and the
integration capabilities required to assimilate different pieces of hardware
and software to scale AI systems. To help customers overcome these challenges
and realize the potential of AI, HPE is announcing the following offerings:
requirements to implement deep learning, including expertise and resources;
sophisticated and tailored hardware and software infrastructure; and the
integration capabilities required to assimilate different pieces of hardware
and software to scale AI systems. To help customers overcome these challenges
and realize the potential of AI, HPE is announcing the following offerings:
· HPE’s Rapid Software Development for AI: HPE introduced an integrated hardware and software solution,
purpose-built for high performance computing and deep learning applications.
Based on the HPE Apollo 6500 system in collaboration with Bright Computing to
enable rapid deep learning application development, this solution includes
pre-configured deep learning software frameworks, libraries, automated software
updates and cluster management optimized for deep learning and supports NVIDIA® Tesla
V100 GPUs.
purpose-built for high performance computing and deep learning applications.
Based on the HPE Apollo 6500 system in collaboration with Bright Computing to
enable rapid deep learning application development, this solution includes
pre-configured deep learning software frameworks, libraries, automated software
updates and cluster management optimized for deep learning and supports NVIDIA® Tesla
V100 GPUs.
· HPE Deep Learning Cookbook:
Built by the AI Research team at Hewlett Packard Labs, the deep learning
cookbook is a set of tools to guide customers in selecting the best hardware
and software environment for different deep learning tasks. These tools help
enterprises estimate performance of various hardware platforms, characterize
the most popular deep learning frameworks, and select the ideal hardware and
software stacks to fit their individual needs. The Deep Learning Cookbook can
also be used to validate the performance and tune the configuration of already
purchased hardware and software stacks. One use case included in the cookbook
is related to the HPE Image Classification Reference Designs. These
reference designs provide customers with infrastructure configurations
optimized to train image classification models for various use cases such as
license plate verification and biological tissue classification. These designs
are tested for performance and eliminate any guesswork, helping data scientists
and IT to be more cost-effective and efficient.
Built by the AI Research team at Hewlett Packard Labs, the deep learning
cookbook is a set of tools to guide customers in selecting the best hardware
and software environment for different deep learning tasks. These tools help
enterprises estimate performance of various hardware platforms, characterize
the most popular deep learning frameworks, and select the ideal hardware and
software stacks to fit their individual needs. The Deep Learning Cookbook can
also be used to validate the performance and tune the configuration of already
purchased hardware and software stacks. One use case included in the cookbook
is related to the HPE Image Classification Reference Designs. These
reference designs provide customers with infrastructure configurations
optimized to train image classification models for various use cases such as
license plate verification and biological tissue classification. These designs
are tested for performance and eliminate any guesswork, helping data scientists
and IT to be more cost-effective and efficient.
· HPE AI Innovation Center: Designed for longer
term research projects, the innovation center will serve as a platform for
research collaboration between universities, enterprises on the cutting edge of
AI research and HPE researchers. The centers, located in Houston, Palo Alto,
and Grenoble, will give researchers for academia and enterprises access to
infrastructure and tools to continue research initiatives.
term research projects, the innovation center will serve as a platform for
research collaboration between universities, enterprises on the cutting edge of
AI research and HPE researchers. The centers, located in Houston, Palo Alto,
and Grenoble, will give researchers for academia and enterprises access to
infrastructure and tools to continue research initiatives.
· Enhanced HPE Centers of
Excellence (CoE): Designed to assist IT
departments and data scientists who are looking to accelerate their deep
learning applications and realize better ROI from their deep learning
deployments in the near term, the HPE CoE offer select customers access to the
latest technology and expertise including the latest NVIDIA GPUs on HPE
systems. The current CoE are spread across five locations including Houston;
Palo Alto; Tokyo; Bangalore, India; and Grenoble, France.
Excellence (CoE): Designed to assist IT
departments and data scientists who are looking to accelerate their deep
learning applications and realize better ROI from their deep learning
deployments in the near term, the HPE CoE offer select customers access to the
latest technology and expertise including the latest NVIDIA GPUs on HPE
systems. The current CoE are spread across five locations including Houston;
Palo Alto; Tokyo; Bangalore, India; and Grenoble, France.
“We live in a world
today where we’re generating copious amounts of data, and deep learning can
help unleash intelligence from this data,” said Pankaj Goyal, vice president,
Artificial Intelligence Business, Hewlett Packard Enterprise. “However, a ‘one
size fits all’ solution doesn’t work. Each enterprise has unique needs that
require a distinct approach to get started, scale and optimize its
infrastructure for deep learning. At HPE, we aim to make AI real for our
customers no matter where they are in their journeys with our industry-leading
infrastructure portfolio, AI expertise, world-class research and ecosystem of
partners.”
today where we’re generating copious amounts of data, and deep learning can
help unleash intelligence from this data,” said Pankaj Goyal, vice president,
Artificial Intelligence Business, Hewlett Packard Enterprise. “However, a ‘one
size fits all’ solution doesn’t work. Each enterprise has unique needs that
require a distinct approach to get started, scale and optimize its
infrastructure for deep learning. At HPE, we aim to make AI real for our
customers no matter where they are in their journeys with our industry-leading
infrastructure portfolio, AI expertise, world-class research and ecosystem of
partners.”
In its mission to help make AI real for its
customers, HPE offers customers a flexible consumption services for HPE
infrastructure, which avoids over-provisioning, increases cost savings and
scales up and down as needed to accommodate the needs of deep learning
deployments.
customers, HPE offers customers a flexible consumption services for HPE
infrastructure, which avoids over-provisioning, increases cost savings and
scales up and down as needed to accommodate the needs of deep learning
deployments.
“Artificial intelligence
has the ability to transform scientific data analysis, making predictions and
surprising connections,” said Paul Padley, professor of physics and astronomy,
Rice University. “We are at a precipice where the AI revolution can now have a
profound impact on reshaping innovation, science, education and society, at
large. Access to the HPE AI innovation centers will help us continue to advance
our research efforts in our journey to making academic progress by using the
tools and solutions available to us through HPE.”
has the ability to transform scientific data analysis, making predictions and
surprising connections,” said Paul Padley, professor of physics and astronomy,
Rice University. “We are at a precipice where the AI revolution can now have a
profound impact on reshaping innovation, science, education and society, at
large. Access to the HPE AI innovation centers will help us continue to advance
our research efforts in our journey to making academic progress by using the
tools and solutions available to us through HPE.”
AI is becoming mainstream in the consumer world
with applications such as voice interfaces, personal assistants and image
tagging. However, the implications of AI go beyond mainstream consumer use
cases to fields including genomic sequencing analytics, climate research,
medical science, autonomous driving and robotics. These technology advancements
and breakthroughs have been – and continue to be – made possible by deep
learning.
with applications such as voice interfaces, personal assistants and image
tagging. However, the implications of AI go beyond mainstream consumer use
cases to fields including genomic sequencing analytics, climate research,
medical science, autonomous driving and robotics. These technology advancements
and breakthroughs have been – and continue to be – made possible by deep
learning.
“As
deep learning-based AI advances, it will transform science, commerce and
the quality of our lives by automating tasks that don’t require the most
complex human thinking,” said Steve Conway, senior vice president,
Hyperion Research. “HPE’s infrastructure and software solutions
are designed for ease-of-use and promise to play an important role in
driving AI adoption into enterprises and other organizations in the next
few years.”
deep learning-based AI advances, it will transform science, commerce and
the quality of our lives by automating tasks that don’t require the most
complex human thinking,” said Steve Conway, senior vice president,
Hyperion Research. “HPE’s infrastructure and software solutions
are designed for ease-of-use and promise to play an important role in
driving AI adoption into enterprises and other organizations in the next
few years.”
About Hewlett Packard
Enterprise
Enterprise
Hewlett 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.
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.
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