Data is the most important asset in the current scenario and is the main driving force behind digital economy. The business environments are changing continuously, data workloads are evolving and increasing and thus the storage requirements of the applications are increasing. SSD is the current storage technology-of-choice for application acceleration. It also provides real-time access.
The emerging trends such as autonomous driving, AI, machine learning, edge applications, etc., also generate huge volumes of data. Thus, the data infrastructure is also undergoing transformation to help the organizations meet their data demands and support the current workloads.
Given below are five key trends which are boosting the next generation of NVMe SSDs in data centers and the cloud:
1. Workload evolution
The current technological trends such as cloud storage, AI, machine learning is making the organizations change their data infrastructure to the changing workloads. There is a huge shift in diversity of data that is being generated by both enterprises as well as consumers.
2. A better understanding of the role of data infrastructure
The current data center architecture has a deeper knowledge of the applications and they tend to focus more on the type of architecture which is more demanding. Based on an application’s read and write patterns, the data center architects are deploying NVMe SSDs as the primary storage devices that will deliver not only an enhanced performance but also a low power and high endurance for executing a particular task.
3. Advancements in 3D NAND technology
NAND is a type of non-volatile storage technology, which has revolutionized Internet of Things (IoT), mobile devices, personal computing, wearables, videography and flash in the data center. This evolutions has led to extended capacity and higher density SSDs. At the same time it provides higher endurance and better performance and reliability.
NVM Express (NVMe) is mainly designed to increase the benefit of high-performance flash storage media, provide a boosted performance and low latency. This technology is the key behind the transformation of the data centres and applications mainly real-time analytics and machine-to-machine workloads, Internet of Things and other emerging technologies.
5. The move from general to purpose-built solutions
Selecting a proper data storage foundation is mandatory for optimizing solutions. The realization that the current architecture is inefficient and increases overhead is hitting hard. It increases the overhead. The organisations are trying to develop a complete purpose-built solution adopting the demanded architectures that can work beyond the limited resource ratios of general-purpose processing, memory, storage and interconnect.