Today Bright Computing announced a partnership with ProfitBricks, the Infrastructure as a Service (IaaS) company based in Germany.
Cloud-based solutions are increasingly appealing as they offer a cost-effective alternative to traditional on-premise solutions,” said Petra-Maria Grohs, CSO EMEAA at ProfitBricks. “Infrastructure is no exception and we are excited at the level of interest we are seeing in moving HPC and Big Data environments into the cloud, in order to unlock cost and time savings.”
Coupling Bright’s infrastructure management technology with ProfitBricks’ IaaS gives organizations a more agile and cost-effective solution to their premise-based high performance clustered environments, a viable, cloud-based alternative. Together, Bright and ProfitBricks empower customers to dynamically expand or shrink the infrastructure needed to support their computationally intensive workloads whether it’s traditional HPC or HPC-based Big Data analysis with Hadoop or Spark, all at the click of a button. This allows enterprises, research institutes and universities to only pay for the computational resources they need, when they are needed; saving time and budget. In addition, organizations are able to consume high volumes of compute power on an ad hoc basis, providing a much more elastic solution for computationally intensive workloads.
Bright infrastructure management technology makes the transition from on-premise to cloud-based HPC completely seamless, offering exactly the same end user experience regardless of where the HPC environment is hosted,” said Lee Carter, VP EMEA at Bright Computing. “We are finding that the elasticity of cloud-based IaaS – and the ability to expand and contract HPC consumption at the touch of a button – is highly compelling to IT decision makers.”
ProfitBricks will be present at the Bright booth #1120 at the ISC 2016 conference in Frankfurt, June 20-22, 2016. At ISC, the two companies will demonstrate the benefits of this joint solution:
- Deploy HPC cluster in minutes, not days or weeks
- Automatically adjust clusters to current workloads
- Pay-per-use for HPC cluster
- Manage HPC nodes through a single pane of glass
