P22280-B21 HPE PM1733 7.68TB SFF Pci Express 4.0 X4 NVMe Hot Swap SSD.

Product Overview & Key Attributes

The HPE Samsung PM1733 NVMe solid-state drive (model P22280-B21) is a high-capacity, enterprise-grade 2.5" SSD engineered for demanding data-center workloads. With a 7.68 TB capacity and PCIe 4.0 x4 (NVMe) interface, it blends dense storage and high throughput for servers, hyperconverged infrastructure, and performance-sensitive applications.

Primary Specifications

• Brand: HPE 
• Model: P22280-B21
• Samsung PM1733 (P22280-B21)
• Type: Internal Solid State Drive (NVMe)
• Form Factor: 2.5" (69 × 100 × 15 mm)
• Capacity: 7.68 TB
• Interface: PCI Express 4.0 x4 (NVMe)
• Flash Technology: Samsung V-NAND
• Bytes per Sector: 512

Key Technical Specifications

• Standard: PC5-51200 (DDR5-6400 MT/s)
• Capacity: 32GB per module
• Type: ECC Registered DIMM (RDIMM), DDR5 SDRAM
• Form factor: 288-pin
• Error Correction: ECC (Error-Correcting Code) for single-bit correction and multi-bit detection
• Voltage: DDR5 nominal voltage (industry standard ~1.1V)
• Use case: Servers, workstations, virtualization hosts, HPC nodes, storage controllers
• Compatibility: Systems and platforms supporting DDR5 RDIMM modules (check server vendor QVL)

Specification Snapshot (Quick-Reference)

At-a-glance Technical Data

• Capacity: 7.68 TB
• Form Factor: 2.5" (15 mm)
• Interface: PCIe 4.0 x4 (NVMe)
• Flash: Samsung V-NAND
• Sequential Read/Write: 7000 / 3800 Mbps
• Random Read/Write IOPS: 1,450k / 135k
• DWPD: 1
• MTBF: 2,000,000 hours
• UBER: 1 per 1017 bits read

Performance Characteristics

• This SSD targets intensive read-centric and mixed workloads by offering industry-leading sequential and random performance metrics.

Measured Throughput

• Sequential Read: Up to 7000 Mbps
• Sequential Write: Up to 3800 Mbps

Random I/O Performance

• Random Read IOPS: 1,450,000 IOPS
• Random Write IOPS: 135,000 IOPS

Drive Endurance & Write Workload

• The drive is designed for consistent service in enterprise environments, rated at:
• Drive Writes Per Day (DWPD): 1

Dependability & Data Integrity

• Built for 24/7 operation, this model emphasizes long-term reliability and error resilience for mission-critical systems.

Reliability Metrics

• MTBF (Mean Time Between Failures): 2,000,000 hours
• Uncorrectable Bit Error Rate (UBER): 1 sector per 10¹⁷ bits read

Error Handling & Enterprise Safeguards

• Advanced NAND management and firmware-level error correction to reduce data corruption risks.
• Enterprise-focused features (power-loss protection and robust wear-leveling) enhance data retention and drive longevity.

Interfaces, Compatibility & Physical Details

• Physical and connectivity traits make the PM1733 straightforward to integrate into existing server bays and storage enclosures.

Connectivity & Expansion

• Interface Count: 1 × PCIe 4.0 x4 (NVMe)
• Compatible Bay: Standard 2.5" server bays

Mechanical Dimensions

• Dimensions: 69 mm × 100 mm × 15 mm (suitable for typical 2.5" enterprise sleds)
• Low-profile 2.5" form factor for blade servers, rackmount hosts, and storage arrays.

Ideal Use Cases & Deployment Scenarios

• Leverage this drive where high-capacity NVMe storage and low-latency I/O are essential.

Recommended Workloads

• Virtualized infrastructure and VDI platforms requiring consistent random I/O performance.
• High-performance databases and analytics engines that benefit from rapid sequential reads.
• Cache tiers for hybrid storage architectures and tiered flash caches.
• Content delivery nodes and media streaming where large, fast reads reduce bottlenecks.

Deployment Tips

• Install into PCIe 4.0-capable hosts to fully utilize throughput potential; PCIe 3.0 will work but reduces peak bandwidth.
• Pair the drive with server firmware and drivers recommended by HPE for maximum compatibility and predictable behavior.
• Monitor SMART attributes regularly and configure drive-level telemetry for predictive maintenance.

Management, Maintenance & Best Practices

• Adopt standard enterprise maintenance processes to protect investment and performance.

Firmware & Monitoring

• Keep firmware current using HPE/Samsung update utilities to benefit from bug fixes and performance optimizations.
• Integrate SSD health monitoring into your existing hardware management stack (e.g., HPE iLO, vendor monitoring tools) to track endurance and errors.

Thermal & Power Considerations

• Ensure sufficient chassis cooling — NVMe SSDs perform best with stable thermal envelopes.
• Use vendor-recommended power profiles to avoid unexpected throttling under sustained loads.

Buying & Integration Checklist

• Confirm host/server compatibility with NVMe PCIe 4.0 x4 devices.
• Verify available 2.5" bay space and mechanical clearance (15 mm thickness).
• Check for the latest firmware from HPE/Samsung and plan maintenance windows for upgrades.
• Plan monitoring integration (SMART telemetry, HPE iLO alerts, storage management software).

Practical Notes for System Architects

Design Considerations

• Use these drives as fast capacity tiers or cache layers in hybrid storage designs.
• Balance array-level redundancy and rebuild times with the drive’s capacity — larger drives may lengthen rebuild operations.
• When deploying at scale, stagger firmware updates and maintain a rollback plan in case of unexpected behavior.

End-User Recommendations

• Document drive placement and firmware level at installation to aid future troubleshooting.
• Enable and review health logs regularly; set thresholds for proactive replacement.

Short Technical Glossary

• NVMe: Non-Volatile Memory Express — an interface protocol that reduces latency and increases parallelism compared with SATA.
• DWPD: Drive Writes Per Day — an endurance metric indicating how many full-drive writes are supported per day over the warranty period.
• MTBF: Mean Time Between Failures — statistical measure of reliability over time.
• UBER: Uncorrectable Bit Error Rate — likelihood of uncorrectable read errors; lower values indicate stronger data integrity.

Actionable Configuration Tips

• Enable host-level NVMe driver optimizations and queue-depth tuning for database and virtualization hosts.
• Use appropriate cooling ducts or baffles in dense server configurations to maintain performance under sustained loads.
• Test SSD firmware updates in a staging environment before rolling them into production fleets.

Samsung M321R4GA3EB2-CCP PC5-51200 DDR5-6400MHz 32GB ECC Product Profile

The HPE P22280-B21 is a high-density, enterprise-grade memory module built to the standard. This Registered technology on a 288-pin form factor and is engineered for mission-critical servers, virtualization hosts, database appliances, and high-performance computing clusters. Designed to provide a balance of raw bandwidth, power efficiency, and error-correcting reliability, this module targets data center scenarios where uptime, predictable latency, and memory capacity per socket directly impact application density and total cost of ownership.

Part Number Means

The part code encodes vendor, density, architecture and configuration details used by system integrators and procurement teams. When sourcing modules, confirm the exact SKU to match rank, timing, thermal spec and manufacturer warranty. The suffixes and middle characters often indicate internal Samsung assembly options and testing grades — useful for enterprise procurement and support contracts.

Architecture and Design Insights

DDR5 represents a generational leap in  architecture compared to DDR4. With higher single-module bandwidth (up to 6400 MT/s in class modules), on-die ECC, power management improvements and doubled internal bank and channel features, DDR5 enables:

• Substantially increased memory bandwidth for memory-bound workloads.
• Improved power efficiency via lower nominal voltage and enhanced power-management schemes.
• Greater scaling in module density — enabling higher capacity per socket without sacrificing performance.

Registered vs Unbuffered: Why RDIMM for Servers

RDIMM (Registered DIMM) modules use a register to buffer addresses and command signals. In server contexts this reduces electrical loading on the memory controller, enabling higher density populations and better signal integrity across many populated slots. The HPE P22280-B21 as an ECC RDIMM is built for multi-socket servers and heavy multi-threaded workloads where reliability and capacity scaling are paramount.

Memory Subsystem Elements — Ranks, Channels, and RAS

The internal organization of the module — ranks, banks, and subchannels — influences latency, throughput, and how multiple modules interact within a motherboard’s memory topology. When populating server motherboards, administrators should follow vendor populate rules (e.g., filling channels symmetrically) to preserve optimal interleaving and maximize effective bandwidth on DDR5-architecture CPUs.

Performance Characteristics and Tuning

Bandwidth and Throughput

At 6400MT/s (PC5-51200), each module delivers a large theoretical peak bandwidth per channel. In real-world terms, that bandwidth translates to faster memory access for in-memory databases, caching layers, and analytics pipelines. The performance advantage is most evident in multi-threaded applications and workloads that sustain large working sets in RAM (e.g., in-memory databases, virtualization hosts running many VMs, and analytics engines).

Latency Considerations

Higher frequency DDR5 modules typically trade some absolute access latency for throughput gains. For most server and data center workloads, increased bandwidth and improved concurrency outweigh modest increases in CAS latency. When optimizing critical paths, match module speed to your platform’s validated memory training profiles in firmware or BIOS and use vendor-recommended timings.

Tuning for Maximum Performance

• Enable platform memory interleaving where supported.
• Populate channels symmetrically—balance ranks across sockets to preserve interleaving benefits.
• Update server firmware to the latest validated memory support (BIOS/UEFI memory training updates).
• Use ECC-enabled boot and monitoring features to detect and log corrected errors — useful in long running workloads.

Real-World Use Cases and Workload Fit

Virtualization and Cloud Infrastructure

For virtualization hosts, memory capacity and reliability are directly correlated with VM density and uptime. The  ECC RDIMM modules allow IT teams to scale guest instances while preserving data integrity — ECC corrects single-bit memory errors before they cause application faults or silent data corruption. DDR5 bandwidth also reduces memory contention when many VMs run concurrently.

Databases, Caching, and In-Memory Analytics

Database engines (relational and NoSQL), in-memory caches, and real-time analytics benefit from DDR5’s higher sustained throughput and module density. With more RAM per socket, working sets can be kept in memory, which slashes I/O and storage latency for read-heavy workloads.

High-Performance Computing (HPC) and Machine Learning Inference

HPC nodes and inference appliances often rely on fast local memory to feed accelerators and CPUs. modules like the HPE P22280-B21 contribute to sustained data flow to compute engines, which is important for simulation, scientific workloads, and real-time inference where memory bandwidth is a limiter.

Storage Controllers and Network Appliances

Enterprise storage controllers and network appliances that use sizeable caches and metadata stores also leverage high-density ECC RDIMMs to improve throughput and reduce latency under heavy I/O loads. The robust error reporting of ECC modules helps troubleshooting and improves service-level reliability.

Compatibility and System Integration

Platform Support and Qualified Vendor Lists (QVL)

DDR5 RDIMM modules require motherboards, CPU families, and BIOS/firmware that explicitly. Major server vendors publish Qualified Vendor Lists (QVL) and validated memory configurations — always verify module compatibility against the server vendor QVL or Samsung’s compatibility resources before purchasing or deploying at scale.

BIOS/UEFI and Memory Training

Modern server firmware performs memory training at boot to establish stable timings and voltages. When deploying new DDR5 RDIMMs, ensure firmware is updated to the version that contains the vendor-tested training routines for DDR5 modules, as memory training improvements can materially affect stability at higher speeds.

Single vs Multi-Socket Considerations

On multi-socket platforms, populate memory channels symmetrically across sockets to preserve NUMA balance and to get the best memory interleaving behavior. The increased density of modules allows administrators to reach higher total memory per socket with fewer physical modules, simplifying slot population strategies while maintaining performance.

Thermal and Power Considerations

While DDR5 lowers nominal voltage versus previous generations, higher speeds and denser populations still generate heat and affect overall system power draw. Ensure server cooling is adequate and airflow paths are unblocked. For dense memory configurations, confirm power budgets with the platform vendor and consider system-level thermal monitoring.

Reliability, ECC, and Failure Modes

How ECC Improves Reliability

ECC (Error-Correcting Code) on RDIMMs continuously monitors data and corrects single-bit errors while detecting multi-bit errors. ECC’s ability to correct transient and permanent single-bit errors before they surface to the OS reduces the frequency of crashes, silent data corruption, and application-level errors — a critical capability for enterprise systems running large stateful services.

Logging and Predictive Failure Analysis

Many server platforms log corrected ECC events via system management logs (IPMI / Redfish). Elevated levels of corrected errors can indicate failing DIMMs or marginal electrical conditions; administrators should configure alerting and review logs to catch early warning signs and replace modules before uncorrectable errors occur.

Capacity Planning and Total Cost of Ownership (TCO)

Choosing 32GB DDR5 RDIMMs like the HPE P22280-B21 allows infrastructure architects to consolidate workloads, reduce NUMA complexity and lower the per-VM memory fragmentation common with many smaller modules. Higher-density modules may cost more per module but reduce the motherboard slot consumption and simplify upgrades. When calculating TCO, include:

• Initial hardware costs and warranty terms.
• Operational benefits such as higher VM density or fewer nodes required for a given workload.
• Power and cooling impacts of denser memory populations.
• Maintenance and expected replacement cycles informed by ECC logging and proactive monitoring.

Comparison and Alternatives

DDR5 RDIMM vs DDR4 RDIMM

Compared to DDR4, DDR5 RDIMM modules offer significantly higher peak bandwidth, more on-die improvements and greater module densities. If your platform supports it, DDR5 yields better scaling for modern server workloads. However, migration to DDR5 requires compatible CPUs and motherboards and may require firmware and OS tuning to realize full benefits.

Advantages does DDR5-6400 provide over lower-speed modules

DDR5-6400 offers higher peak memory transfer rates (PC5-51200 bandwidth), enabling better throughput for memory-bound workloads, more efficient multi-threaded performance, and enhanced memory-channel utilization for in-memory services and virtualization.

How many modules can I install per socket with this module

The number of modules per socket depends on your motherboard’s DIMM slot count and the CPU/memory controller capabilities. Modern server boards typically support 6–12 DIMM slots per socket; consult your server documentation to map how many 32GB modules you can install and how that maps to total socket memory capacity.

Related Products and Upgrade Paths

When planning upgrades, consider mixing different density modules only when supported and validated by your vendor. For large scale rollouts, use identical SKUs across nodes to simplify spares management. If maximum capacity is the priority, evaluate LRDIMM DDR5 modules; if maximum validated speed is required across fewer slots, pair the P22280-B21 with platform-validated partners.

Technical Notes for System Administrators

Monitoring and Alerting

Integrate ECC event monitoring into your systems management toolchain (e.g., IPMI, Redfish, SNMP). Create alert thresholds for corrected ECC counts and investigate modules that show persistent or increasing corrected error rates. Early replacement of an errant module can prevent uncorrectable errors and service disruption.

Lifecycle and Refresh Strategy

Maintain an inventory of spares and a refresh strategy based on workload criticality. For heavily utilized memory subsystems, plan refresh cycles that align with warranty and OEM lifecycle recommendations. Keep firmware and microcode updated to leverage memory training and platform-specific reliability improvements.