To meet increasing demand for online learning and growth of its essential research.
RMIT University has selected the HPE GreenLake edge-to-cloud platform to transform its storage capability to support major research opportunities, manage the increase in online learning, and strengthen the quality-of-service delivery to its student body.
With HPE GreenLake, RMIT eliminates heavy upfront data storage costs and avoids expensive overprovisioning.
“The HPE GreenLake platform facilitates self-service agility allowing us to easily deploy resources, view costs and forecast capacity. We pay only for what we use when we use it, and scale to what we need when we need it,” said Sinan Erbay, CIO at RMIT. “Before deploying HPE GreenLake we had ongoing monthly crisis meetings and faced limitations when valued research projects were offered to us. This was stressful,” Erbay further explained.
The HPE GreenLake platform, along with HPE Data Storage solutions, enables the university to overcome the limitations of the large legacy data storage environment. This provides agility when there are surges in demand for large research projects, enabling RMIT to easily accept major research opportunities and slash provision time for updates and new services from weeks to hours.
For RMIT, the total cost of ownership is better understood and better balanced, and the IT resource effort needed to manage and maintain service delivery was reduced by 50 per cent.
“We’re proud to partner with an innovative and forward-thinking organization like RMIT. We look forward to the continued partnership and improving the tertiary education experience in Australia,” said Patrick Matthews, Director for HPE Pointnext Services Australia & New Zealand.
RMIT see its partnership with HPE growing with increased collaboration in innovation ideas and initiatives. The university’s research is responsive to real-world problems, open to new collaborations and flexible in its approach.
“We’re interested in expanding our capabilities with hybrid cloud environments. We are looking at HPE Synergy as the composable, software-defined infrastructure to achieve this. Meanwhile our five-year plan includes large wireless networking and bringing a better understanding of Artificial Intelligence (AI) and Machine Learning (ML) to our student body,” Erbay said.