HPE Apollo Systems

Breakthrough performance with economies of power and cooling in less space.

Density-optimised for HPC, Big Data and More

The HPE Apollo high-density server family is built for the highest levels of performance and efficiency. They are rack-scale Compute, storage, networking, power and cooling – massively scale-up and scale-out – solutions for your big data analytics, object storage and high-performance computing (HPC) workloads. From water-cooling that’s 1,000X more efficient than air, to “right-sized scaling” with 2X the compute density for workgroup and private cloud workloads, the HPE Apollo line is a dense, high-performance, tiered approach for organisations of all sizes.


TeraFLOPS Per Square Foot1 . HPE Apollo 8000


Servers in Space of Five Traditional. HPE Apollo 6000


Capacity in a Single 42U Rack2 . HPE Apollo 4000


Density of Standard 1U Servers3 . HPE Apollo 2000

New Possibilities for the Data-Driven Organisation

Add purpose-built Compute to your infrastructure and accelerate time to value by reducing implementation time from months to days. Apply just the right amount of scalability, performance and efficiency with a selection of hyperscale server systems optimised for specific workloads types and sizes.


Optimise scale, performance and cost-efficiency for each type of data, and manage volume, velocity and variety accordingly. Use HPE Apollo to provide just the capacity and performance you need with scale-up and scale-out, workload-optimised solutions.


Enjoy significant capital and operating expense savings with high-density economic building blocks for efficient implementations at scale. Achieve up to 30 servers and 3.6 petabytes of capacity in a 42U4 rack in the HPE Apollo 4500.


Talk to our product experts and tap into an extended ecosystem of partners, integrators and ISVs. 

HPE Apollo 8000 Wins R&D 100 Award

The Energy Department's NREL reuses the warm-water cooling system to heat the building, plus boost performance and efficiency.

Water-cooled Supercomputing

The HPE Apollo 8000 is the world’s first warm-water liquid cooling system. These systems accomplish groundbreaking speed, density, energy-efficiency and even economic and ecological sustainability.


teraFLOPS per square foot1


more FLOPS/watt5


tons of CO2 saved per year5

Complete HPE Apollo Portfolio

See all components across the entire HPE Apollo line of high density servers to explore and compare details.

Performance-optimised HPC

The air-cooled HPE Apollo 6000 server systems address the growing demand for both HPC and reduce cost. It's a rack-scale solution to get the most out of your infrastructure – and your investment.

  • 20 percent more performance for single-threaded applications6
  • 60 percent less space than a computing blade7
  • $3 million USD of TCO savings over three years with 1,000 servers8


For Big Data Analytics and Object Storage

The HPE Apollo 4000 series is a new family of systems, purpose-built to service Hadoop® and other big data analytics and object storage systems.

  • Maximise disk density with 68 LFF disks in a 4U form factor
  • Focus on data with Hadoop-based data mining and NoSQL-based analytics
  • Implement object storage with petabyte-scale data volumes


Hyperscale for Web and Cloud

The HPE Apollo 2000 System is a bridge to scale-out architecture for traditional data centres. The HPE Apollo 2000 series is highly dense, packing a lot of performance and workload capacity into a small amount of data centre space.

  • Four independent hot-pluggable HPE Apollo 2000 servers in a single 2U
  • 2x the performance density of standard 1U servers, at a comparable cost

HPE Apollo Family

Go big in a small footprint with systems purpose-built for high performance computing and advanced data analytics.

Contact Us

Tap into our extended ecosystem of partners, integrators and ISVs ready to deliver the right HPE Apollo system for your unique needs.


White Paper : Innovate and Drive Results with HPE Apollo

White Paper

Learn how the HPE Apollo family of services can drive real results.

Case Study : University of Minnesota Embraces The Next Generation of Supercomputing to Empower a New Wave of Research

Case Study

Breakthroughs are business as usual

Article : Meet HPE Apollo: Reinventing HPC and the Supercomputer


Administrators, engineers and executives are now tasked with solving some of the world’s most complex challenges revolving around advanced computations for science, business, education, pharmaceuticals and beyond.

Article : UiT The Arctic University of Norway Pushes Hyperscale Efficiency


Institution aims to create the world’s most efficient data centre with the HPE Apollo 8000 System.

Case Study : Gartner: Magic Quadrant for Modular Servers

Case Study

Data centre managers should use this Magic Quadrant to understand the modular server market and evaluate the related vendors and their offerings.

Article : Poland Steps Up its Supercomputing Game


Gdańsk University of Technology is planning to build the fastest supercomputer in Poland, developed via a partnership with Megatel and Action.

Case Study : IT Efficiency Races Forward in eBay Inc.’s Data Centres with HPE EcoPODs

Case Study

Highly efficient modular data centres are a key part of this leading online auction company’s growth strategy.

Video : Choosing the Right Infrastructure for Your Data-Driven Organisation


Learn how HPE can harness the power of your data to generate intelligent insights and innovative services to drive better business results.

  • 1.

    4x teraFLOPS and FLOPS/watt: Based on Hewlett Packard Enterprise internal estimates. Apollo HPE 8000 provides 4x more teraFLOPS per square foot than IBM 1U rack servers, based on rack and power density, assuming the same processors.

  • 2.

    Based on 10 systems and 8TB HDDs

  • 3.

    Four servers in 2U vs. 4U of rack space – at a comparable cost.

  • 4.

    Based on 10 HPE Apollo 4530 Systems with 8TB HDDs

  • 5.

    Carbon footprint: Hewlett Packard Enterprise internal estimate; HPE Apollo 8000 vs. an air-cooled data centre with 3 MW of IT. A standard sustainability formula was used to derive CO2 savings in tons using the kWh savings based on real-world data centre analysis

  • 6.

    Benchmarks from Synopsys, presented at Synopsys SNUG conference 2014

  • 7.

    Hewlett Packard Enterprise internal estimate compared to Dell M620 10U/16 servers, HP 160 in 48U

  • 8.

    Hewlett Packard Enterprise internal estimate based on power savings of $471,000 USD savings in power plus cost savings of $2,782,000 USD