Infotech Lead America: Targeting Big Data segment, HP has priced its new ProLiant SL4500 server series in a single node configuration at $7,643.
HP on Thursday said the new HP ProLiant SL270s Gen8 servers will be available next month at a starting price of $6,166.
The HP ProLiant SL250s Gen8 servers will be available with NVIDIA Kepler and Intel Xeon Phi processors early next year for a starting price of $5,659.
HP said the industry’s first server built will assist clients to operationalize Big Data, drive new business opportunities and save up to $1 million over three years.
“Big Data application environments such as Hadoop, MPP data warehouses, Big Data analytics and object stores have very different workload requirements,” said Dan Vesset, vice president, Business Analytics Research, IDC.
The new HP ProLiant SL4500 server series provides maximum performance, productivity and cost-effectiveness in an ultradense solution required by these workloads. Built on HP Converged Infrastructure, the new server offers a highly efficient design that consumes up to 50 percent less space, 61 percent less power and 31 percent lower cost while using 63 percent fewer cables.
“Enterprises that leverage Cloudera’s Platform for Big Data to unlock insights across all of their data benefit from deploying infrastructure components optimized for the extreme demands of Big Data workloads,” said Amr Awadallah, chief technology officer, Cloudera.
Meanwhile, HP also announced updates to its high-performance computing (HPC) portfolio, enabling clients to maximize the performance benefits of the latest processing technology from Intel and NVIDIA.
The HP ProLiant SL270s Gen8 server offers maximized processor density, with the ability to support up to eight Intel Xeon Phi coprocessors or eight NVIDIA Kepler graphic processing units (GPUs) per server.
The HP ProLiant SL270s and SL250s Gen8 servers now support the latest NVIDIA Kepler GPUs and newly announced Intel Xeon Phi coprocessors, enabling clients to select the best accelerator or coprocessor for their specific workloads.