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The company said it sees an opportunity to help businesses start making use of AI by augmenting key business processes.
“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 for artificial intelligence at HPE Pointnext.
The first of its vertical-focused offerings is HPE Digital Prescriptive Maintenance Services, which is designed to automate problem prevention and increase productivity of industrial equipment.
The consulting and implementation services aim to capture all relevant data sources in the enterprise, including real-time and batch data from internet of things (IoT) devices, datacentres and the cloud.
Based on supervised learning for failure prediction and unsupervised learning for anomaly detection, HPE’s maintenance offering prescribes and automates actions to prevent industrial equipment failure and to optimise its productivity, the company claimed.
HPE has positioned its AI service in a market where the large industrial conglomerates such as GE have been pushing IoT and digitisation.
The company has also introduced a consulting service, Artificial Intelligence Transformation Workshop, which it said would help customers get started with AI, evolve their strategic data and analytics initiatives, and prioritise AI use cases.
From a hardware perspective, HPE’s Apollo 6500 Gen10 System is being positioned as a next-generation high-performance computing (HPC) system purpose-built for deep learning. The hardware supports eight Nvidia Tesla V100 GPUs. According to HPE, this enables the Apollo 6500 Gen10 System to deliver three times faster model training than previous generations.
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HPE has also extended its AI partner ecosystem through a reseller agreement with WekaIO to deliver optimised storage performance in AI environments.
“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 to 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.”