[NR]WD SN655 30.72TB 15mm 2.5" U.3 DualPort PCIe4x4 TLC ISE

• 30.7 TB U.3 PCI Express 4.0
• Read speed: 6100 MB/s 10520000 IOPS
• Write speed: 3400 MB/s 660000 IOPS
• TLC 3D NAND NVMe 1.4
• Hardware encryption
• Component for: Server/workstation

• Enterprise Data Centers
• Cloud Storage Solutions
• Server Virtualization
• Machine Learning Workloads
• Big Data Analysis
• Artificial Intelligence Tasks
• High-Performance Computing
• Data-Intensive Applications
• Unstructured Data Processing
• Scalable Storage Solutions

Data strategy, not just data storage
Ultrastar NVMe enterprise SSDs continue to be the ideal solution for cloud and server providers who need performant, high-capacity, cost-optimized, read-intensive performance for their data-intensive applications.

Unlocking the Full Potential of Enterprise SSDs
With dual-port redundancy and failover capability, end-to-end data protection and additional enterprise features, Ultrastar DC SN655 NVMe SSDs help ensure your data is secure and available when needed. With high-capacity, low-latency performance reaching up to 1.1M IOPs, storage providers are efficiently able to increase capacity for modern applications processing large unstructured datasets and are reducing time-to-insights of big data and enabling efficient machine learning.

Features
Ultrastar DC SN655 NVMe SSDs includes the next generation Western Digital NVMe 1.4b controller with PCIe Generation 4.0 interface and Western Digital BiCS5 TLC 3D NAND to enable higher capacities and performance at scale for increasingly larger application workloads. Designed and built for the standard 2.5” SSD storage infrastructure, the SN655 includes support for U.2 and U.3 backplanes and features power loss protection and 2.5M MTBF (projected) and 1.0 DW/D with a 5 year limited warranty.

Emerging Workloads
Ultrastar DC SN65x NVMe SSDs are optimized for cloud and scaleout workloads, providing high QoS consistency for the emerging workloads for big data, artificial intelligence, and machine learning that are increasing in size and complexity making them the ideal solution for scaling capacity and maximizing GB/watt.