Feature
Incredible Performance :Read speeds up to 1800MB/s. Superfast data transfer and read speed (Write speed lowers.) accelerated by 3D NAND technology. Tested by CyrstalDiskMark software.
Low Latency, Fast Reading and Writing : Based on transmission specification of non-volatile memory, Netac internal SSD N930E Pro adopts NVMe Transmission Protocol to improves read and write performance, and reduces high latency brought by the AHCI interface. Netac internal solid state drive meets requirement of the professional field for fast write, read and no delay to completely update itself. With NVMe Transmission Protocol, Netac develops and follows the trend.
Higher Efficienc y: Support the host DRAM cache architecture (HMB). Netac internal SSD N930E Pro makes use of all the host cache bit SSD to get higher 4K performance so that makes the whole system application, program loading and file copy effective better. Netac internal solid state drive offers you smoother experience.
New Interface for Faster Transmission: Equipped with a new PCIe Gen3 × 4 interface, Netac internal SSD is up to 32Gbps transmission bandwidth, faster read and write, and sequential read and write speed is up to 1800MB/s and 1500MB respectively.
M.2 2280 Specification : Netac internal SSD adopts M.2 2280 specification, which is compatible with PC and laptop. Low power consumption, low calorific value, zero noise, and excellent impact resistance and shock resistance. Netac internal solid state drive is suitable for use in a variety of scenarios and improves our life efficiency.
Specification
Brand: Netac
Capacity: 1TB
NAND Flash: 3D NAND
Interface: PCIe Gen3x4
Form Factor: M.2 2280
Dimensions (L x W x H): 80 x 22 x 3.85mm
MTBF: 1,800,000 hours
Performance (Max): Read 2500MB/s, write 1800MB/s
Maximum 4K random read/write IOPS: 180K/180K
Operating Temperature: 0deg. C-70deg. C
Storage Temperature: -40deg. C-85deg. C
Shock Resistance: 1500G/0.5ms
Weight: 10.5g / 0.37oz
Certifications: RoHS, CE, FCC, BSMI, KC
*Notice:1GB=1,000,000,000 bytes. Due to different capacity algorithms and partial capacity are used for system files, management and performance optimization, so the actual available capacity may be less than the identifying capacity.