HPE 4TB SFF NVME X4 RI 2.5in SFF SSD Part #: P04633-001
- Brand: HPE
- Part #: P04633-001
- Alt. Part #: P04633-001
- Specs:-
- :: Capacity: 4TB
- :: Form Factor: Small Form Factor (Sff)
- :: Drive Interface: NVME
- :: Condition: New Pull
- :: Compatibility: Select HPE Systems*
- :: MPN: P04633-001
- Warranty: 1 (one) year Tekmart Africa warranty
- INST: 250707001
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- PSS: This Product is Eligible for Immediate Shipping / Collection Upon Order Confirmation
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This SSD,P04633-001 is the SKU (Stock Keeping Unit) itself for HPE (Hewlett Packard Enterprise) 4TB Solid State Drive (SSD).
They combine the raw speed of NVMe with the robust reliability, specific endurance tuning, and integrated management features required for demanding, always-on enterprise server environments.
A few of the features of these SSDs:-
- ::PCI Express NVMe (PCIe NVMe x4): This specifies the interface the SSD uses.
- ::NVMe (Non-Volatile Memory Express): This is a high-performance communication interface designed specifically for SSDs, allowing them to communicate directly with the CPU. This provides much lower latency and higher throughput compared to older interfaces like SATA.
- PCI Express (PCIe x4): This refers to the type of bus the NVMe interface uses. "x4" indicates that it utilizes four lanes of the PCIe bus, maximizing data transfer speeds.
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- ::They are Read Intensive (RI): This describes the endurance type of these SSDs. Read-intensive SSDs are optimized for workloads where data is primarily read from the drive rather than frequently written to it. This makes them cost-effective for applications like web servers, boot drives, data logging, and general-purpose servers.
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::Device Supported: Server: These SSDs are designed and validated for use in HPE servers, such as the HPE ProLiant DL360 Gen10.
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::They are Optimized for Specific Workloads: The "Read Intensive" designation means it's built for applications where the primary activity is reading data, such as:-
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- ::Web servers
- ::Boot/swap drives
- ::Read caching
- ::Content delivery networks
- ::Data analytics
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