Kingston launches KC1000 NVMe PCIe SSD in India
Kingston launched its new KC1000NVMe PCIe SSD in India and will be available in select retail and etail stores in the country. This M.2 NVMe PCIe SSD is over 2x faster than SATA-based SSDs and over 40x faster than a 7200RPM hard-disk drive. KC1000 is built for the power user, providing the ultimate, low-latency performance boost for resource-demanding applications including high-resolution video editing, data visualization, gaming and other data intensive workload environments where traditional storage solutions are unable to keep pace with data demand. This SSD will be available with a HHH adapter at MRPs of INR 16,000 for 240GB, INR 26,000 for 480GB and INR 51,000 for 960GB.
The demands of today’s performance power users are constantly being put to the test as new data-intensive applications push the boundaries of what can be achieved with even the market’s high performance professional workstations and most powerful gaming rigs. KC1000 is the perfect solution to meet the needs of media and design professionals, gaming enthusiasts and anyone who needs ultra-low latency storage performance to end data bottlenecks. This native NVMe device offers one of the industry’s most powerful storage solutions for high-resolution content delivery, virtual reality applications, accelerated game play or a competitive edge for the creative professional on tight deadlines.
KC1000 delivers up to 290,000 IOPS and will ship in mid-August in 240GB, 480GB and 960GB capacities. The high-performance SSD supports the PCIe Gen3 x4 interface and the latest NVMe protocol. KC1000provides accelerated boot and load speeds and increases sequential read/write performance, as well as offering improved endurance and energy efficiency. It is perfect for users seeking instant, breakthrough performance improvements for:
- High-resolution video editing
- Virtual and augmented reality applications
- CAD software applications
- Streaming media
- Graphically intensive video games
- Data visualization
- Real-time analytics
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