Enable unprecedented levels of automation and agility with cloud computing solutions.
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.
The HPE Apollo 6500 Gen10 System is an ideal HPC and Deep Learning platform providing unprecedented performance with industry leading GPUs, fast GPU interconnect, high bandwidth fabric and a configurable GPU topology to match your workloads.
The HPE Apollo high-density server family is built for the highest levels of performance, and efficiency. They are rack-scale compute, storage, and networking solutions designed for massive scale-out. With a tiered approach for organisations of all sizes, they are suitable for your big data analytics, object storage, and high-performance computing (HPC) workloads. HPE Apollo features water-cooling that’s far more efficient than air as well as “right-sized scaling” with 2X the compute density for workgroup and private cloud workloads.
Innovations that drive speed and scale
Disruptive ARM HPC processor technology with maximum memory bandwidth, familiar management and performance tools, and the density and scalability required for large HPC cluster deployments.
A scalable, high-density clustered supercomputer system with liquid cooling for substantial power efficiency and energy savings.⁵ Industry-standard processors, interconnect and software provide maximum flexibility and performance.
A performance-optimised, air-cooled system that offers outstanding configuration flexibility, redundant power, simplified administration, and rack-scale efficiency to lower the total cost of ownership (TCO) needed for mass scale HPC deployments.
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 42U1 rack in the HPE Apollo 4500.
Extreme performance in high density
Apollo 6000 Gen10 System offers HPC with extreme performance in high density. We’ve taken the lead on a new Approach– thinking beyond the server and designing a rack-level solution that gives the right compute at the right economics.
The HPE SGI 8600 System is a liquid-cooled, tray-based, scalable, high-density clustered computer system designed from the ground up to run complex HPC workloads at petaflop speeds, scale seamlessly to thousands of nodes, and deliver leading energy efficiency.
Complete HPE Apollo portfolio
See all components across the entire HPE Apollo line of high density servers to explore and compare details.
The HPE Apollo 6500 Gen10 System provides superior performance-per-dollar for GPU intensive workloads with eight high performance GPUs per node. It delivers up to 125 TFlops single precision compute.
The HPE SGI 8600 is a liquid-cooled, scalable, high-density clustered computer system architected for best performance, scale, and efficiency.
Tailor your system precisely to meet your most demanding HPC workload requirements. Leverage the exceptional price and superlative compute performance of rack-level air-cooled density.
Run Hadoop and other big data analytics while maximising disk storage and implementing object storage with petabyte-scale data volume.
This high-density, scalable 2U server gives you greater performance and workload capacity than standard 1U servers – at a comparable cost.
Solve complex, data-intensive HPC problems at unparalleled scale by leveraging 4-32 sockets and 1-48 TB of in-memory computing capacity in a single system.
Equip enterprise HPC environments with high-volume, in-memory computing and single-system simplicity delivered in 2-16 sockets and up to 48TB memory.
Mixed workload HPC for even the smallest department, running on industry-standard accelerated compute servers.
Services for your Apollo platform
During this one-day HPE Artificial Intelligence Transformation Workshop, your key decision-makers gain clarity on Big Data and AI concepts, identify the use cases that are a priority for your business and create a high-level plan that defines your steps forward.
Success in action
Pushing the boundaries of supercomputing
Build out your high performance infrastructure
Tap into our extended ecosystem of partners, integrators and ISVs ready to deliver the right HPE Apollo system for your unique needs.
Learn how HPE can harness the power of your data to generate intelligent insights and innovative services to drive better business results.
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.
Institution aims to create the world’s most efficient data centre with the HPE Apollo 8000 System.
1. Based on 10 HPE Apollo 4530 Systems with 8 TB HDDs.
2. Top500.org’s Green500, June 2017.
3. Based on typical operating conditions: Data centre water at least 5°C cooler than data centre air ambient temperatures; the HPE SGI 8600 is data centre “room neutral” and exudes no heat into the data centre and does not add any load to data centre air cooling equipment.
4. Claim: Scaling to >10,000 nodes without additional switches4 using integrated switches and hypercube technology. Substantiation: 4 HPE Internal testing on SGI ICE XA hierarchical cluster auto-provisioning up to 10K+ nodes, June 2015. Calculation: go to https://www.nas.nasa.gov/hecc/resources/pleiades.html and add up nodes stated by NASA on their public page under “Pleaides Node Detail” Pleiades is the name of the ICE system installed there. Stated is 2016+2088+5400+1936 which equals 11440 nodes. NASA Pleiades, May 2017.
5. Substantial savings in cooling costs with Closed-Loop Airflow, which ensures no air within the cell is mixed with data centre air Substantiation: HPE Internal Engineering study “Liquid Cooling Value Proposition”, WWAS February 2017.