HP Launches Compute Platforms and Solutions for Data-Intensive Workloads

PALO ALTO, CA--(Marketwired - May 5, 2015) - HP (NYSE: HPQ) today announced new and enhanced purpose-built Compute platforms and solutions designed to help customers leverage all data assets in order to drive business outcomes, such as faster decision making, improved operational efficiency and direct content monetization.

Gartner, Inc. forecasts that 4.9 billion connected "things" will be in use in 2015, up 30 percent from 2014 and will reach 25 billion by 2020.¹ This will cause an exponential increase in the amount of data, each of which will have a distinct value to the business. As a result, the industry is seeing the emergence of new technologies and architectures -- from open source data analytics and database platforms to in-memory databases -- built to derive value from data and deliver business outcomes.

HP's new Compute platforms have been tailored to meet the specific requirements of these data-intensive workloads. These platforms are purpose-built for a range of emerging technologies and applications including mass content storage, block and file storage, unstructured and real-time analytics, as well as simple and transactional databases.

The new and enhanced servers and solutions include: HP Apollo 2000; the HP Apollo 4000 Systems family; the HP Big Data Reference Architecture; HP Integrity Superdome X; and the HP ProLiant DL580, DL560 and BL660c Gen9 servers. These servers are designed to optimize capacity and performance scalability, flexibility and cost efficiency with unique designs that address data center space, power and cooling challenges.

"The ever-increasing volume, velocity and variety of data have stretched traditional server technologies beyond their limits -- it needs a set of purpose-built compute platforms specifically designed to extract the maximum value of the data," said Alain Andreoli, senior vice president and general manager, Servers Business Unit, HP. "HP is innovating the designs of its broad Compute portfolio to align it to specific workload needs in order to help customers deliver the most impactful business outcomes by using data in ways that was impossible in the past."