SanDisk Ultra 3D 2000GB

SSD Description

The SanDisk Ultra 3D 2000GB (2TB) is a high-performance SATA III solid-state drive built on Western Digital’s 3D NAND ecosystem. The architecture typically utilizes a 4-channel Marvell 88SS1074 controller—or a functionally equivalent in-house WD controller in later revisions—paired with BiCS 3D TLC NAND. The drive integrates dedicated DRAM to manage the translation layer, providing consistent random I/O performance and reduced write amplification. The storage hierarchy relies on nCache 2.0, a pseudo-SLC caching algorithm that writes small file segments to high-speed blocks before consolidating them into the main TLC array. Hardware analysts categorize the SanDisk Ultra 3D as the hardware twin of the Western Digital Blue 3D NAND SATA SSD, sharing identical PCBs and firmware logic. The drive originally launched with 64-layer BiCS3 NAND, with production runs likely transitioning to denser 96-layer (BiCS4) or newer nodes. The 2.5-inch metallic casing provides passive heat dissipation that helps prevent thermal throttling during sustained workloads.

Key Specifications

• Interface: SATA III (6 Gbps)
• Form Factor: 2.5-inch (7mm)
• Controller: Marvell 88SS1074 (4-Channel) or WD Proprietary
• NAND Configuration: 3D TLC (BiCS)
• DRAM Cache: Yes (DDR3/DDR4)
• Sequential Read/Write: Up to 560 MB/s / 530 MB/s
• Caching Technology: nCache 2.0 (SLC hybrid tier)

Hardware Alternatives

• Western Digital Blue 3D NAND: This is the direct hardware clone of the SanDisk Ultra 3D; aside from the label, the internal components (controller, DRAM, and NAND) are identical, resulting in indistinguishable performance metrics.
• Crucial MX500 2000GB: A direct architectural competitor utilizing a Silicon Motion (SM2258/2259) controller and Micron 3D TLC NAND, offering a similar DRAM-backed design for sustained write consistency.
• Samsung 870 EVO 2000GB: Competes in the same performance bracket with Samsung's vertically integrated MKX controller and V-NAND; often benchmarked against the Ultra 3D for random IOPS performance.