- PCIe 3.0 connection for each NVMe drive
- Ultra-low I/O latency, with reduced read/write latency
- Consistently reliable quality of service
- Excellent read and write performance at low queue depths
- Near symmetrical read and write performance
- Very high endurance
- Variable sector size and end-to-end data-path protection
- Enhanced power-loss data protection
- Thermal throttling and monitoring
- Supports the NVMe Management Interface specification
- SMART health reporting
The ThinkSystem U.2 Intel Optane P4800X Performance NVMe PCIe SSD is the ultimate in high performance solid state drives with ultra-low latency, very high bandwidth, and an extra high endurance, making this drive an excellent storage choice for write-intensive high-performance workloads.
The Intel Optane P4800X SSD is a member of the Intel Optane family of data center solid state devices that are based on Intel-developed 3D XPoint memory, controller, interconnect technology and firmware, all providing significant gains in reducing latency and accelerating systems for workloads demanding large capacity and fast storage.
The Intel Optane P4800X SSD series is Intel's first NVMe SSD that features 3D XPoint technology. 3D XPoint technology is a different class of memory that doesn't store data by trapping electrons in the memory cell but instead utilized the property-change of the memory material itself to store the data. The NVMe controller and firmware are optimized to take advantage of the unique aspects of 3D XPoint technology. I/O operations are accelerated by hardware, delivering leading performance, ultra-low latency and quality of service (QoS).
Non-Volatile Memory Express (NVMe) is a PCIe 3.0 high performance SSD technology that provides high I/O throughput and low latency. NVMe interfaces remove SAS/SATA bottlenecks and unleash all of the capabilities of flash memory. Each NVMe PCI SSD has direct PCIe 3.0 x4 connection, which provides increased bandwidth and lower latency than SATA/SAS-based SSD solutions. NVMe drives are also optimized for heavy multi-threaded workloads by using internal parallelism and many other improvements, such as enlarged I/O queues.