HPE using swarm learning tech built by India engineers
By MYBRANDBOOK
Hewlett Packard Enterprise (HPE) is focusing on areas such as hardware-as-a-service and platform-as-a-service while transforming from a pure IT infrastructure vendor to an edge-to-cloud solutions company. The company’s R&D team in India is playing a crucial role in building these new consumption models using cutting edge technologies.
Cynthia Swarnalatha, VP of Engineering for the Compute Business Group and HPE India site R&D leader, said the over 4,000 professionals in the Bengaluru centre are doing path-breaking work in areas such as hybrid cloud, AI, ML, blockchain, and memory-driven computing.
The software technology at the core of HPE servers, called integrated lights out (iLO), was designed and built in India. “iLO is an embedded technology and it is the foundation of the intelligence, security and root of trust for our servers. It is the heartbeat of HPE servers,” Swarnalatha said.
For this work, the Bengaluru team worked very closely with HPE’s R&D team in Taiwan, who handled the hardware side of it. “We followed an agile development process to build iLO, and also had a complete CI/CD automation pipeline (CI/CD or continuous integration/ continuous delivery, is a set of operating principles and practices to deliver a new version of software quickly and efficiently). The function specification, the design, the coding and implementation, all of this was done by the Bengaluru lab,” she commented.
HPE also has an advanced development team in Bengaluru that drives innovation. That team invented a decentralized data sharing mechanism called swarm learning. Swarm learning allows for the insights generated from data to be shared without sharing the source data itself. It is seen as a game changer in the field of research, since it takes care of data privacy concerns.
"For swarm learning, we worked closely with Hewlett Packard Labs. Swarm learning uses blockchain tech, the power of distributed data, and AI to let intelligent devices share insights globally, as opposed to sharing raw data,” said Swarnalatha.
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