MZQL27T6HBLA-00A07 Samsung PM9A3 7.68TB U.2 NVMe SSD for AI Server Data Center Storage

The Samsung PM9A3 (model MZQL27T6HBLA-00A07) is a 7.68TB enterprise-grade NVMe solid-state drive built on the PCIe 4.0 interface with the U.2 form factor. Engineered for AI server platforms, hyperscale data centers, and high-throughput storage workloads, it delivers exceptional sequential and random performance while maintaining enterprise-class endurance and power efficiency.

Designed for 24/7 operation in demanding environments, the PM9A3 combines Samsung's sixth-generation V-NAND technology with a proven NVMe controller to support intensive read-heavy and mixed-use workloads such as AI training data pipelines, real-time analytics, virtualization, and cloud storage tiers.

• 7.68TB high-capacity storage — ideal for AI model datasets, log aggregation, and large-scale virtualization.
• PCIe 4.0 x4 NVMe interface — delivers low-latency, high-bandwidth performance for data-intensive applications.
• U.2 (2.5-inch) form factor — hot-swappable and compatible with standard enterprise server drive bays.
• Enterprise-class endurance — rated for 1 DWPD (Drive Writes Per Day), supporting sustained mixed-use workloads.
• Advanced power-loss protection — safeguards data integrity during unexpected power interruptions.
• Optimized for AI and data center workloads — consistent QoS and low latency under heavy queue depths.
• Samsung reliability & firmware ecosystem — backed by enterprise-grade validation and management tooling.

Specifications are provided for reference and may vary by firmware revision and system configuration. Please confirm exact figures with the official Samsung datasheet.

• AI and machine learning servers — high-throughput storage for training datasets and model checkpoints.
• Data center storage arrays — reliable, high-endurance drives for tiered storage architectures.
• Cloud and virtualization platforms — low-latency performance for VMs and containerized workloads.
• Real-time analytics and databases — consistent IOPS for latency-sensitive applications.
• Content delivery and media processing — fast sequential throughput for large file operations.