Scale-out Compute

Scale-out workloads such as object and virtualized storage and Apache Hadoop require Compute platforms with performance scalability, density optimization, storage simplicity and configuration flexibility.  HP addresses these requirements with a scale-out Compute portfolio that consists of the HP Apollo 2000 and 4000 systems as well as HP Moonshot.

The HP Apollo 2000 is the enterprise bridge to scale-out infrastructure.  It is designed to deliver hyperscale efficiency and performance in traditional datacenters running general purpose and high performance workloads. The efficient, space-saving system comes in a familiar form factor that has the same rack dimensions, cabling, management and serviceability attributes of traditional 1U rack servers, so it can be introduced in a non-disruptive way. Additionally, up to four independent hot-pluggable servers in a standard 2U chassis enable customers to mix and match servers for workload optimization.

The HP Apollo 4000 Systems family includes three servers purpose-built for data-intensive workloads like Hadoop and big data analytics, in addition to object storage. This family offers a choice of capacity density, performance scalability with one and three nodes, and the flexibility to change the ratio of compute to storage to match workload requirements. It includes the industry’s densest 2U server in the HP Apollo 4200 with 28 large form factor drives or 50 small form factor drives.2 Additionally, the HP Apollo 4510 offers a 4U chassis with one server node providing rack-scale storage server density with up to 5.44 Petabytes  in 42U rack. The HP Apollo 4530 offers three servers nodes in a chassis, making it ideal for Hadoop-based analytics, which leverages three-copy data replication.

These solutions are supported by the HP Haven Big Data platform featuring HP Verticaas well as HP HyperScale Big Data Ecosystem partners, including  Cleversafe, Scality, Cloudera and Hortonworks. The solutions also support key open source projects like Ceph, OpenStack Swift and Apache Hadoop.
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