Hewlett Packard Enterprise (HPE) has launched three new services to optimise AI use across its own business functions and those of its customers.
The first is HPE Digital Prescriptive Maintenance Services, delivered by the company’s Pointnext initiative, an IT services organisation that aims to ‘drive rapid digital transformation’ of customers’ experiences. Maintenance Services will collect data from data centres, Internet of Things (IoT) devices and the cloud to predict and treat industrial equipment failure. According to the McKinsey Global Institute, AI-enabled asset maintenance can lead to an increase in earnings before income and taxes of up to 20% in industries such as electric utilities.
“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 global vice president of AI at HPE Pointnext Beena Ammanath.
“HPE is best positioned to help customers make AI work for their enterprise, regardless of where they are in their AI adoption.”
The company’s second initiative is its Artificial Intelligence Transformation Workshop. This is a ‘highly interactive one-day workshop’ that will introduce customers to members of the Pointnext team to create tailored plans for how customers can make the most of AI services offered by HPE.
“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,” said Ammanath.
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The final project is the HPE Apollo 6500 Gen10 graphics processing unit (GPU) accelerator, which enables ultra-fast communication between GPUs and powers much of the company’s deep learning programmes. The company reports that the new system enables model training to be completed three times faster than in previous years, so deep learning business outcomes can be reached significantly faster.
“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, of hybrid IT strategy and AI at HPE.
“The HPE Apollo 6500 Gen10 System is purpose-built to enable organisations of all sizes realize the benefits of deep learning faster than ever before.”
The accelerator is designed to interface with the NVIDIA NVLink interconnect, enabling data to be shared ten times faster than systems using traditional interconnects, and the WekalO MATRIX file storage system.
HPE will demonstrate these initiatives at NVIDIA’s GPU Technology Conference from 26 to 29 March in San Jose, California, and will host AI event ‘Promise or Peril: Glimpses of an AI-Enabled Future’ in collaboration with The Economist tomorrow.