HPE Apollo Systems
Density-optimized HPE systems for HPC, analytics, and demanding parallel workloads.
We help you choose, source, and procure the right infrastructure — no obligation.
Configuration at a Glance
Tailored per engagement. Full technical overview below.
Overview
HPE Apollo systems are purpose-built for high-performance computing and data-intensive workloads, packing dense compute and storage into space- and power-efficient designs. Nexus Compute sources Apollo configurations for organizations running HPC, large-scale analytics, and parallel processing.
Who This Solution Is For
Business Benefits
Purpose-built density
Apollo designs pack more compute or storage per rack and watt than general-purpose servers.
Tuned for parallel workloads
Architected for HPC and data-intensive processing where many nodes work together.
Efficient at scale
Shared power and cooling across the chassis improve efficiency in large deployments.
Designed to your workload
We specify the Apollo configuration around your HPC or analytics requirements.
Typical Business Use Cases
High-performance computing clusters
Large-scale data analytics and processing
Scientific and engineering simulation
Dense storage for data-intensive workloads
Industry Applications
Technical Overview
A family of density-optimized chassis and node designs supporting high compute or storage density with shared power and cooling, HPE management, and high-speed interconnect options. Configurations are specified to the target workload.
| System Type | Density-optimized HPC / storage chassis |
| CPU | Intel Xeon or AMD EPYC (configurable) |
| Density | Multi-node per chassis (configurable) |
| Interconnect | High-speed Ethernet / InfiniBand options |
| Management | HPE management ecosystem |
| Cooling | Air or liquid options (configuration-dependent) |
| Engagement | Workload-specific specification |
Specifications are indicative and configured to each engagement. Request a quote for a configuration tailored to your requirements.
Frequently Asked Questions
Is Apollo right for AI workloads?
Apollo targets HPC and data-intensive workloads. For GPU-centric AI we typically recommend HPE GPU systems or our GPU Server line; we advise on the best fit for your specific workload.
Do you help design the cluster?
Yes. We specify node count, interconnect, and storage around your HPC or analytics objectives.
What cooling does it require?
Depending on density, Apollo supports air or liquid cooling. We confirm facility requirements during planning.
Procurement Assistance
Source the HPE Apollo Systems with Nexus Compute
Tell us your requirements and a procurement specialist will help you specify, source, and quote the right configuration — typically within two business days. No obligation.
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