top of page
server-parts.eu

server-parts.eu Blog

HPE Apollo Servers and Parts Explained: Models, Components, and Buying Tips

  • Writer: server-parts.eu server-parts.eu
    server-parts.eu server-parts.eu
  • Mar 20
  • 4 min read

Updated: Mar 21

HPE Apollo servers are designed for demanding workloads like big data, analytics, and high-performance computing (HPC). Known for their density and efficiency, they combine powerful CPUs, optional GPUs, and large storage capacity in compact designs.


HPE Apollo Storage and Parts : Save up to 80%

✔️ Fast Shipping, Large Inventory, No Upfront Payment Required.


In this article we provide a detailed overview of the HPE Apollo lineup, including technical specifications, infrastructure components, and scalability options.


HPE Apollo servers are high-density, scalable solutions designed for HPC, AI, and big data workloads. Featuring Intel Xeon and AMD EPYC processors, these modular systems support GPU acceleration, SSD, NVMe, and HDD storage options. With flexible compute nodes like XL170r, XL190r, XL270d, and XL675d, Apollo servers deliver powerful performance in compact 2U, 4U, and 6U chassis. Optimized for demanding environments, they provide advanced cooling, redundant power supplies, and support for 10GbE, 25GbE, and InfiniBand networking, ensuring efficient data processing, analytics, and deep learning model training. Server-parts.eu

 

HPE Apollo Product Overview


HPE Apollo 2000 Series

  • Purpose: High-density compute platform for cloud and HPC environments.

  • Chassis: 2U rack-mounted enclosure supporting up to 4 server nodes.

  • Compute Nodes:

    • XL170r Gen10: Supports dual Intel Xeon Scalable processors (up to 28 cores each) with up to 1.5TB DDR4 memory per node.

    • XL190r Gen10: Includes GPU support for up to 4 GPUs per node for AI inference or HPC acceleration.

  • Storage Options:

    • Up to 24 SFF drives (SAS/SATA/NVMe) or 12 LFF drives.

    • Mix of HDD for capacity and SSD/NVMe for performance.

  • GPU Options: Supported only in XL190r nodes. Popular GPU choices include NVIDIA Tesla T4, A2, or RTX series for inference tasks.

  • Power & Cooling: Redundant 500W–1600W PSUs with up to 8 hot-swap fans.

  • Networking Components: Supports 10/25/40Gb Ethernet or InfiniBand connections for fast data exchange.

  • Scalability: Ideal for building HPC clusters or compute-intensive environments with multiple HPE Apollo 2000 chassis connected.


 

HPE Apollo 4000 Series


HPE Apollo 4200 (2U Model):

  • Purpose: Storage-optimized servers for data-heavy workloads.

  • Compute Nodes: Dual Intel Xeon Scalable processors (up to 28 cores each) with up to 3TB DDR4 memory in Gen10 Plus models.

  • Storage Options:

    • Up to 28 LFF (3.5") or 54 SFF (2.5") hot-swap drives.

    • Supports SAS/SATA HDDs for capacity and SSD/NVMe drives for high I/O performance.

  • GPU Options: Limited GPU support with NVIDIA A2 for light AI or inference tasks.

  • Networking Components: Supports 10/25/40Gb Ethernet for fast data transfer.

  • Power & Cooling: Redundant PSUs (800W to 1600W) with multiple high-speed fans to maintain optimal airflow.

  • Scalability: Ideal for Hadoop clusters, backup targets, or large file storage.


 

HPE Apollo 4510 (4U Model):

  • Purpose: Storage-optimized servers for data-heavy workloads.

  • Compute Node: Single dual-socket server node with dual Intel Xeon Scalable processors (up to 28 cores each) and up to 2TB DDR4 memory.

  • Storage Options:

    • Supports up to 60 LFF drives for massive storage capacity.

    • Offers 1PB+ raw storage with 18TB HDDs.

  • GPU Support: Minimal; designed for storage-focused tasks rather than GPU acceleration.

  • Networking Components: Supports 10/25/40Gb Ethernet for fast data movement.

  • Power & Cooling: Redundant 1600W PSUs with multiple high-speed fans to ensure airflow through densely packed drives.

  • Scalability: Ideal for object storage, media archives, or large-scale backup storage.


 

HPE Apollo 6500 Series


HPE Apollo 6500 Gen10 (4U Model):

  • Purpose: GPU-accelerated servers for AI, machine learning, and HPC simulations.

  • Compute Node: Typically uses ProLiant XL270d nodes with dual Intel Xeon Scalable CPUs or AMD EPYC 7003 series CPUs (up to 128 cores total).

  • Memory Capacity: Up to 4TB DDR4 memory for handling large datasets in AI and simulations.

  • GPU Options:

    • Up to 8 full-length, double-width GPUs (e.g., NVIDIA A100, Tesla V100, or Quadro RTX 8000).

    • Designed to support deep learning models, AI inference, and scientific simulations.

  • Networking Components: InfiniBand, 100GbE, or PCIe Gen4 for rapid data movement.

  • Power & Cooling: Uses multiple PSUs (1600W to 2200W) with high-speed fans for GPU thermal management.

  • Scalability: Ideal for multi-node AI training setups or GPU-based analytics clusters.


 

HPE Apollo 6500 Gen10 Plus (6U Model):

  • Purpose: GPU-accelerated servers for AI, machine learning, and HPC simulations.

  • Compute Nodes: ProLiant XL675d or XL645d nodes with AMD EPYC 7003 CPUs for maximum core count and PCIe bandwidth.

  • GPU Options:

    • Up to 16 GPUs (via HGX baseboard with NVLink interconnect for faster GPU-to-GPU communication).

    • Ideal for AI/ML model training requiring multi-GPU scaling.

  • Power & Cooling: High-wattage PSUs (up to 5kW draw) with robust airflow management.

  • Scalability: Supports distributed AI workloads and tightly coupled HPC simulations.


 

HPE Apollo Infrastructure Components and Expansion


✅ HPE Apollo Chassis (Enclosure):

  • Houses modular nodes, power supplies, and cooling systems.

  • HPE Apollo 2000 (2U), HPE Apollo 4200 (2U), HPE Apollo 4510 (4U), and HPE Apollo 6500 (4U/6U).


 

✅ HPE Apollo Compute Nodes (Modular Servers):

  • XL170r, XL190r, XL270d, XL675d models supporting Intel Xeon or AMD EPYC CPUs.

  • Each node operates independently with dedicated memory, storage, and networking.


 

✅ HPE Apollo Storage Options:

  • HDDs: Large capacity SATA/SAS drives for backup and data lakes.

  • SSDs: SATA or SAS for fast I/O in high-performance workloads.

  • NVMe SSDs: For maximum throughput in AI, analytics, or caching roles.


 

✅ HPE Apollo Networking Components:

  • Supports Ethernet (1GbE/10GbE/40GbE/100GbE) and InfiniBand.

  • Designed for low-latency clustering in HPC environments or distributed AI workloads.


 

✅ HPE Apollo Power and Cooling Solutions:

  • Redundant PSUs for power efficiency (500W to 2200W depending on model).

  • Advanced cooling designs with airflow management to support dense configurations.


 

Choosing the Right HPE Apollo Model


  • For Compute Density: HPE Apollo 2000 offers great CPU performance in minimal rack space.

  • For Storage Needs: HPE Apollo 4200 or 4510 delivers high-density storage for data lakes, backup archives, or object storage.

  • For GPU Acceleration: HPE Apollo 6500 is ideal for AI and HPC workloads that demand powerful GPU performance.


 

Why Choose HPE Apollo?


  • Density & Efficiency: Maximize rack space with HPE Apollo's compact design.

  • Scalability: Easily expand storage or computing resources as your needs grow.

  • Flexibility: Combine SSDs, HDDs, CPUs, and GPUs to tailor each server to your workload.

  • Reliability: Enterprise-grade hardware backed by HPE's support.


HPE Apollo delivers powerful performance in a space-saving design, making it a smart choice for businesses looking to scale efficiently. Whether you’re handling AI models, massive datasets, or dense compute tasks, there’s an Apollo model that fits your needs.


 

HPE Apollo Storage and Parts : Save up to 80%

✔️ Fast Shipping, Large Inventory, No Upfront Payment Required.

Comments

bottom of page