Specifications
Base Model Number
KCD81PUG3T84
Series
KIOXIA CD8P-R
Capacity
3.84 TB
Form Factor
2.5-inch, 15 mm
Active Power Consumption
19 W typ.
Series
KIOXIA CD8P-R (read intensive data center NVMe SSD)
Interface
PCIe 5.0 (32 GT/s × 4), NVMe 2.0
Maximum Interface Speed
128 GT/s (PCIe Gen5 x4)
Flash Memory
BiCS FLASH TLC (112-layer class)
Endurance
1 DWPD for 5 years, read intensive
Sequential Read (up to)
10,000–12,000 MB/s depending on capacity
Sequential Write (up to)
3,500–5,500 MB/s depending on capacity
Random Read (up to)
2,000K IOPS
Random Write (up to)
200K IOPS
Supply Voltage
12 V ± 10 %, 3.3 V ± 15 %
Data Protection
Power loss protection (PLP) and end-to-end data correction
Security Options
SIE (instant secure erase) and SED (TCG Opal) model numbers
Compliance
Open Compute Project Datacenter NVMe SSD spec v2.0 (partial)
Target Workloads
Hyperscale, big data / IoT, OLTP, virtualization, CDN
Overview
The KIOXIA CD8P-R is the second-generation PCIe 5.0 read-intensive data center SSD, built to replace PCIe 4.0 drives in scale-out and cloud servers. The CD8P-R delivers up to 2,000K random-read IOPS and 12,000 MB/s sequential read, a 60-80 % uplift over the previous PCIe 4.0 generation on sequential reads.
Base model number KCD81PUG3T84 is the non-SED, non-SIE ordering code for the 3.84 TB capacity in the 2.5-inch, 15 mm form factor. The SIE variant replaces the '81' segment with '8X' (instant secure erase) and the SED variant with '8D' (TCG Opal encryption) — electrically and mechanically identical drives.
Power loss protection and end-to-end data path correction are standard, which matters for write-cache and journal roles where a surprise power cut must not corrupt in-flight data. The CD8P-R is a drop-in fit for PCIe 5.0 platforms from Intel Xeon 6 and AMD EPYC 9004/9005 class systems.
Key Benefits
PCIe 5.0 x4: up to 12,000 MB/s sequential read. 1 DWPD / 5 years: predictable read-intensive endurance. PLP + end-to-end correction: safe under abrupt power loss.
Applications
Hyperscale and cloud storage tiers, AI training data staging, big data and IoT ingestion, OLTP databases, server virtualization datastores and content delivery cache.
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