Hewlett Packard Enterprise (HPE) has new offerings to help customers ramp up, optimise and scale artificial intelligence (AI) usage across their businesses. The benefits can include 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
- HPE Artificial Intelligence Transformation Workshop, providing consulting expertise from HPE Pointnext
- HPE Apollo 6500 Gen10 System, a next-generation high performance computing system purposebuilt for deep learning that delivers a 3x faster model training than previous generations*.
- HPE has also extended its AI partner ecosystem through a reseller agreement with WekaIO to deliver optimised storage performance in AI environments.
PricewaterhouseCoopers predicts that global GDP will grow 14% – the equivalent of US$15.7 trillion – by 2030 as a result of AI, with increased labour productivity and consumer demand being the most impactful business outcomes**. However, while AI holds great promise, current adoption rates are low. According to Gartner’s 2018 CIO Agenda Survey, 4% of CIOs globally have implemented AI, while a further 46% have plans to do so***.
“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 VP, 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 organisation.”
The new HPE AI industry solutions are designed for specific use cases. HPE Digital Prescriptive Maintenance Services, delivered by HPE Pointnext, predicts, suggests and automates the actions to fix the problem before it causes harm. According to McKinsey Global Institute, AI-enabled asset maintenance can lead to up to 20% earnings before interest and taxes (EBIT) improvement in industries like electric utilities by increasing capital productivity****.
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 Internet of Things (IoT) devices, data centres and the cloud. Based on both supervised learning for failure prediction and unsupervised learning for anomaly detection, HPE Digital Prescriptive Maintenance can prevent industrial equipment failure and optimise 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 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. They then tailor a high-level plan to accelerate the AI exploration phase towards actual implementation.
HPE’s solutions and consulting services are backed by purposebuilt 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 increases in application performance, enabling a 3x faster model training than previous generations.
HPE collaborated closely with NVIDIA to embed the high-bandwidth, energy-efficient NVIDIA NVLink interconnect into HPE Apollo 6500 Gen10, enabling ultrafast communication between GPUs. This technology allows data sharing at rates of up to 10x faster than the traditional PCIe Gen3 interconnect***** .
HPE has also partnered with WekaIO to resell its file storage software WekaIO MATRIX, complementing HPE’s Lustre-based storage solutions. WekaIO MATRIX helps customers meet the data read/write requirements of 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, VP, Hybrid IT Strategy and AI, HPE. “The HPE Apollo 6500 Gen10 System is purpose-built to enable organisations of all sizes realise the benefits of deep learning faster than ever before. And with WekaIO's flash-optimised parallel file system, HPE now provides the required throughput for compute-intensive low-latency 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 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 VP, 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.”
Details:
- HPE Digital Prescriptive Maintenance Services 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.
*Benchmark tests conducted by HPE in Houston, US in February 2018, using industry-standard TensorFlow and Caffe2 frameworks and the models inception3, resnet50 and vgg16, showed that the HPE Apollo 6500 Gen10 is on average 3.12 times faster than HPE Apollo 6500 Gen9.
**Sizing the prize. What’s the real value of AI for your business and how can you capitalise?, PwC, June 2017
***2018 Gartner CIO Agenda Survey, press release from February 13, 2018
****Artificial Intelligence – The Next Digital Frontier?, McKinsey Global Institute, June 2017
*****PCIe Gen3: 32GBps, NVLink: up to 300GBps.
The new offerings include:
- HPE Digital Prescriptive Maintenance Services, the first in a series of AI-enabled industry offerings from HPE Pointnext
- HPE Artificial Intelligence Transformation Workshop, providing consulting expertise from HPE Pointnext
- HPE Apollo 6500 Gen10 System, a next-generation high performance computing system purposebuilt for deep learning that delivers a 3x faster model training than previous generations*.
- HPE has also extended its AI partner ecosystem through a reseller agreement with WekaIO to deliver optimised storage performance in AI environments.
PricewaterhouseCoopers predicts that global GDP will grow 14% – the equivalent of US$15.7 trillion – by 2030 as a result of AI, with increased labour productivity and consumer demand being the most impactful business outcomes**. However, while AI holds great promise, current adoption rates are low. According to Gartner’s 2018 CIO Agenda Survey, 4% of CIOs globally have implemented AI, while a further 46% have plans to do so***.
“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 VP, 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 organisation.”
The new HPE AI industry solutions are designed for specific use cases. HPE Digital Prescriptive Maintenance Services, delivered by HPE Pointnext, predicts, suggests and automates the actions to fix the problem before it causes harm. According to McKinsey Global Institute, AI-enabled asset maintenance can lead to up to 20% earnings before interest and taxes (EBIT) improvement in industries like electric utilities by increasing capital productivity****.
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 Internet of Things (IoT) devices, data centres and the cloud. Based on both supervised learning for failure prediction and unsupervised learning for anomaly detection, HPE Digital Prescriptive Maintenance can prevent industrial equipment failure and optimise 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 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. They then tailor a high-level plan to accelerate the AI exploration phase towards actual implementation.
HPE’s solutions and consulting services are backed by purposebuilt 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 increases in application performance, enabling a 3x faster model training than previous generations.
HPE collaborated closely with NVIDIA to embed the high-bandwidth, energy-efficient NVIDIA NVLink interconnect into HPE Apollo 6500 Gen10, enabling ultrafast communication between GPUs. This technology allows data sharing at rates of up to 10x faster than the traditional PCIe Gen3 interconnect***** .
HPE has also partnered with WekaIO to resell its file storage software WekaIO MATRIX, complementing HPE’s Lustre-based storage solutions. WekaIO MATRIX helps customers meet the data read/write requirements of 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, VP, Hybrid IT Strategy and AI, HPE. “The HPE Apollo 6500 Gen10 System is purpose-built to enable organisations of all sizes realise the benefits of deep learning faster than ever before. And with WekaIO's flash-optimised parallel file system, HPE now provides the required throughput for compute-intensive low-latency 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 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 VP, 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.”
Details:
- HPE Digital Prescriptive Maintenance Services 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.
*Benchmark tests conducted by HPE in Houston, US in February 2018, using industry-standard TensorFlow and Caffe2 frameworks and the models inception3, resnet50 and vgg16, showed that the HPE Apollo 6500 Gen10 is on average 3.12 times faster than HPE Apollo 6500 Gen9.
**Sizing the prize. What’s the real value of AI for your business and how can you capitalise?, PwC, June 2017
***2018 Gartner CIO Agenda Survey, press release from February 13, 2018
****Artificial Intelligence – The Next Digital Frontier?, McKinsey Global Institute, June 2017
*****PCIe Gen3: 32GBps, NVLink: up to 300GBps.
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