Quick Specs What's New for Apollo 4200 Gen10 2U (28 LFF or 54 SFF) Chassis Options Optional rear drive up to 6 SFF/NVMe or 4 LFF (2) Intel Xeon 1st & 2nd Gen Scalable processors (16) 2933MT/s DDR4 DIMMs | 8 DIMMs per processor HPE Persistent Memory Support Supports up to 2.0TB of DDR4 memory (7) PCIe 3.0 slots HPE iLO 5 HPE NS204i-p OS Boot Device Support HPE Smart Array P824i-p MR Gen10 12G SAS Controller Rear NVMe Drives Support No GPU Supported Other Versions: HPE ProLiant Apollo 2000 G9 | G10 HPE ProLiant Apollo 4200 G9 | G10 | G10+ HPE ProLiant Apollo 4500 G9 | --- HPE ProLiant Apollo 6500 G9 | G10 | G10+ HPE ProLiant Apollo pc40 HPE ProLiant Apollo sx40 (Click to View) Ideal for: Artificial Intelligence (AI) Big Data Analytics Cloud Servers Data Analytics Deep Learning (DL) High-Performance Computing (HPC) Hyper-Converged infrastructure (HCI) Machine Learning (ML) Video Analytics Video Streaming Virtualization Virtual Machines (VM) Web Tech Anything as a service (Xaas) The HPE Apollo 4200 Gen10 Server delivers enhanced storage density and performance in a 2U form factor, designed for modern data-intensive workloads. It supports up to 28 LFF or 54 SFF hot-plug drives, providing exceptional capacity and flexibility. The LFF chassis allows up to 448 TB of storage using 16 TB drives, scaling to over 8 PB in a standard 42U rack. For high-performance applications, the SFF chassis supports up to 54 NVMe, SAS, or SSD drives, offering increased throughput and reduced latency—ideal for workloads like big data analytics, AI, and content delivery. With support for NVMe storage and HPE Smart Array controllers, the Gen10 version delivers faster performance and improved scalability over its predecessor. The HPE Apollo 4200 Gen10 Server focuses on storage-intensive and compute-friendly workloads but does not natively support GPU accelerators. Instead, its design prioritizes high-capacity storage, flexible drive configurations, and advanced management features, making it a robust solution for enterprise applications like big data, data analytics, and video streaming environments.
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