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Specifications
Processor family: Intel Xeon E5-2600 v3 or v4 series
Number of processors: Up to 2 per server
Processor core available: 6/8/10/12/14/16/18/20
Form factor (fully configured):
4U
Power supply type: Up to 4 power supplies, 800 W and 1400 W Flex Slot, hot-plug redundant power supplies
Expansion slots: Up to four PCIe Slots + FlexibleLOM support (per server)
Memory: HPE SmartMemory 16 DIMM slots Up to 1,024 GB DDR4 memory at up to 2,400 MHz
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HPE Apollo 4530 System - Intel Xeon Processors, up to 120 TB Storage Capacity, up to 15 hot-plug SAS or SATA HDDs/SSDs
HPE Apollo 4530 System - Intel Xeon Processors, up to 120 TB Storage Capacity, up to 15 hot-plug SAS or SATA HDDs/SSDs 17741 HPE Apollo 4530 System - Intel Xeon Processors, up to 120 TB Storage Capacity, up to 15 hot-plug SAS or SATA HDDs/SSDs 4530
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Model: 4530

Condition: New

Overview: HPE Apollo 4530 System - Intel Xeon Processors, up to 120 TB Storage Capacity, up to 15 hot-plug SAS or SATA HDDs/SSDsHP
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The HPE Apollo 4500 Systems family provides density-optimize Big Data servers that are purpose-built for object storage, Hadoop, and Big Data analytics solutions.

Gathering intelligence from Big Data for competitive advantage is key, but you need to meet the challenges of the volume, velocity, and variety of this new data.
HPE Apollo 4500 Systems are purpose-built for Big Data solutions like Hadoop, Big Data analytics and object storage, and growing data volumes—at petabyte scale and beyond.

Organizations of all kinds are seeking to glean intelligence from Big Data and translate it into a competitive business advantage. Big Data, much of which is
unstructured—Web click-streams, Social Media messages, images and video, and readings from sensors on increasing numbers of network-connected machines—is growing at an exponential rate. Traditional structured databases are not well suited to storing and processing Big Data at this new scale
cost-effectively.

New technologies have emerged to deal  with the volume, velocity, and variety of these new sources of data—notably Hadoop-based Big Data analytics and object storage solution systems. As promising as these new technologies are, today’s general purpose infrastructure runs into problems when these workloads move to petabyte scale, and the data center can experience capacity constraints, spiraling energy costs, infrastructure complexity, and inefficiencies.

To maximize the value of Big Data, you need systems that are purpose-built for Big Data workloads.

HPE is taking the next big step ahead with the introduction of HPE Apollo 4500 Systems. This new family of systems is purpose-built to service the technologies that are driving the Big Data IT revolution—Hadoop and Big Data analytics and object storage systems. These purpose-built systems will
give you a competitive edge for accelerated market share and business growth byenabling you work with growing volumes of data—at petabyte scale and beyond. Efficiently storing and quickly converting large amounts of information into insights will enable better and faster decision-making to drive revenue growth, reduce costs, mitigate risks, and aid you in developing new markets quickly. And HPE Apollo 4500 Systems allow you to accomplish all of this while meeting your data center challenges of space, energy, and time.

HPE Apollo 4530 System: purpose-built for Hadoop and Big Data analytics solutions

The HPE Apollo 4530 System is purpose-built for the wide variety of Big Data analytics solutions. It provides an ideal server platform for analytics based on parallel Hadoop data mining such as developing a 360-degree view of customers to improve the cost-effectiveness of advertising and promotion, increase Web
commerce sales, focus real-time personalized marketing, and increase customer retention and satisfaction. It is also well suited to analytics systems that deal with volumes of machine-generated data being analyzed to streamline and automate operations and improve efficiency and profitability.

The HPE Apollo 4530 System is an ideal server platform for Big Data analytics solutions from HPE and the HPE HyperScale Big Data Ecosystem partners including Hortonworks and Cloudera, as well as HPE Autonomy and HPE Vertica, and for Big Data analytics solutions using distributions of NoSQL databases.

This three-server, 4U chassis system matches the characteristics of traditional Hadoop-based analytics that typically save three copies of data on independent servers. It can be optimally configured for economical, large-scale, Hadoop-based data analytics or for more complex compute-intensive analytics with high-performance processor and memory options, solid-state disks (SSDs), high-performance disk controllers, and fast, high-capacity I/O options.

For smaller implementations or for “plug-and-play” integration into traditional enterprise rack-server data centers, you can also consider the 2U HPE Apollo 4200 Gen9 Server with up to 50 SFF hard disk drives (HDDs)/SSDs for Hadoop and Big Data analytics solutions.

HPE Apollo 4510 System: purpose-built for object storage solutions at any scale

The HPE Apollo 4510 System is purpose-built for the variety of Big Data object storage solutions—from cost-effective, high-capacity content repositories that address petabyte-scale data volumes, to the tuned responsiveness required for content distribution systems. Density-optimized HPE Apollo 4510 systems are ideal to form the foundation platform for object storage solutions ranging from collaboration and content distribution, to content repositories and active archives, to back-up repositories and cold storage, and everything in between.

The HPE Apollo 4510 System is an ideal Big Data storage server for object storage solutions from HPE HyperScale Data Eco-System partners including Cleversafe, Scality, Ceph, OpenStack®/Swift, and it forms the building blocks for HPE’s own Helion Content Depot.

This one-server, 4U chassis system provides cost-effective, space-saving storage capacity of up to 544 terabytes per system and 5.44 petabytes per 42U rack to meet object storage solution needs at any scale, from one to hundreds of petabytes and more. With up to 68 hot-plug LFF HDDs/SSDs and HPE ProLiant Gen9 server, processor, memory, and I/O options, it can meet the storage capacity, throughput, and responsiveness requirements of every
variety of Big Data object storage solution—and provide the right compute for the right price.

For smaller implementations or for “plug-and-play” integration into traditional enterprise rack-server data centers, you may also consider the HPE Apollo 4200 Gen9 Server with up to 28 LFF HDDs/SSDs for object storage solutions.

HPE Apollo 4520 System: Optimized for clustered storage solutions

The HPE Apollo 4520 System is optimized for high availability clustered storage at Petabyte scale. It provides an ideal platform for cost effective storage of archival, video and other business critical data. The HPE Apollo 4520 is also an ideal system for the storage backend for world-changing HPC computing, such
as genomics sequencing, oil discovery, and financial modeling.

This two-server, 4U cluster-in-a-box ideally matches the high availability needs of HPC storage and enterprise primary storage. With internal cabling for failover, the HPE Apollo 4520 simplifies setup and maintenance, and mitigates risk of human error. For large scale-out environments, the HPE Apollo
4520 features superior density over traditional server architectures, with up to 23 LFF SAS HDD/SSD per server.

The HPE Apollo 4520 is the featured system in a joint HPE and Intel® solution for HPC Storage: HPE Scalable Storage with Intel Enterprise Edition for Lustre*. As the key building block for scalable storage and high throughput the HPE Apollo 4520 offers high performance Intel® Xeon® E5-2600 v4 processors, the ability to mix and match SAS HDDs and SSDs, and a range of I/O options. For this solution, HPE also offers end-to-end support, from configuration guidance, performance validation, installation, and support services.

Key features and benefits

HPE Apollo 4500 Systems provide a balanced architecture built to deal with Big Data and object storage workloads, delivered in a density-optimized, power-efficient chassis designed to meet today’s petabyte-scale Big Data requirements.

HPE Apollo 4530 System

A three-server, 4U chassis system optimized for Hadoop and Big Data analytics with up to three two-processor HPE ProLiant Gen9 servers, each with up to 15 hot-plug SAS or SATA HDDs/SSDs.

Efficient analytics scaling:

  • Each server has up to 120 terabytes of capacity—providing economical building blocks for efficient implementations at scale with up to 30 servers and 3.6 petabytes of capacity in a 42U rack.

Versatile performance for Big Data analytics variety:

Choose the right balance of performance and cost-efficiency with:

  • Two-processor server configuration options for:
    • Intel Xeon E5-2600 v4 series processors with choices from 6–20 cores, 1.6 GHz– 2.6 GHz CPU speed, and power ratings between 55–135 watts
    • 16 memory DIMM slots with up to 1024 GB DDR4 memory at up to 2,400 MHz—ideal for complex analytics needing fast performance or in-memory data processing analytics applications
    • Solid-state disks and high-performance storage controllers to speed data transfer
    • Up to four PCI Express (PCIe) slots with flexible performance and one FlexibleLOM to match the variety of analytics workload performance and throughput criteria

HPE Apollo 4510 System

A 4U, one-server system that has been purpose-built for object storage solutions with up to 68 hot-plug SAS or SATA HDDs/SSDs with up to 544 terabytes storage capacity per server and up to 5.44 petabytes of storage per 42U rack.

Density-optimized for space and power efficiency at scale:

  • High direct attach storage capacity per server for large-scale object storage systems–Up to 544 terabytes per 4U chassis (with 8 TB HDDs)
    • Up to 5.44 petabytes per 42U rack (with 10 HPE Apollo 4510 Systems and 68 LFF HDDs)

Configuration flexibility to optimize for capacity, throughput, and responsiveness:

  • Flexible performance and I/O options to match the variety of object storage response and throughput criteria:
    • Two-processor server configuration options choices from 6–20 cores, 1.6 GHz–2.6 GHz CPU speed, and power ratings between 55–135 watts
    • 16 memory DIMM slots with up to 1,024 GB DDR4 memory at up to 2,400 MHz
    • Solid-state disks and high-performance storage controllers to speed data transfer
    • Up to four PCI Express (PCIe) slots with one FlexibleLOM to match the performance and throughput requirements

HPE Apollo 4520 System

A 4U, two-server system that has been optimized for clustered storage solutions with up to 46 hot-plug SAS HDD/SSD, with up to 368 terabytes of storage capacity per server and up to 3.68 petabytes of storage per 42U rack.

Built-in failover:

  • No need for external cables to create two-server failover cluster. All cables are internal
  • Simplifies server setup and reduces risk of downtime due to human error

Range of performance and storage options

  • Intel Xeon E5-2600 v4 series processors with choices from 6–20 cores, 1.6 GHz–2.6 GHz CPU speed, and power ratings between 55–135 watts
  • 16 memory DIMM slots with up to 1,024 GB DDR4 memory at up to 2,400 MHz
  • Solid-state disks and high-performance storage controllers to speedy data transfer Up to four PCI Express (PCIe) slots with flexible performance and I/O options, such as InfiniBand


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