Artificial intelligence and data analytics are at the forefront of the digital age, bringing with them a rise in data processing and a surge in energy consumption.
Data centers worldwide are modifying their infrastructure to meet the demands of the surge. The pressure to balance efficiency and sustainability is dire, pushing data centers to rethink their approach to storage architecture.
The Growing Demand for Data Processing
Data centers store and share application data to facilitate communication and collaboration, making them pertinent for modern-day digital operations. They stand as the backbone of digital connectivity, allowing thousands of people across the world to access information easily and efficiently. As the digital world expands, so too does the importance of data centers in supporting this expansion.
As digital processing tasks like AI and cryptocurrency become increasingly popular and power-intensive, global electricity consumption due to data centers is projected to reach 1,000 TWh by 2026. This marks a significant increase of over 117% since 2022, with server power consumption soaring by 266% since 2017.
Scalable Solutions for Storage Architecture
In response, organizations are turning to scalable storage setups to meet their data processing needs. This is because traditional storage infrastructures often struggle to keep pace with the exponential growth of data.
Solutions that are tailored to efficiency and performance have taken priority in order for companies to adapt to the ever-changing consumption. These solutions include cloud-based storage solutions and computational storage devices. By scaling effectively, data centers can ensure they remain prepared and responsive as demands continue to evolve.
[…]
