- Seagate study finds that 97% expect AI to increase their demand for storage in the future
- Sustainability is recognized but costs are increasingly important
- Modern HDDs offer superior efficiency and they are cheaper
A new report from Seagate has revealed how much of an effect artificial intelligence has on the amount of storage required by data centers, which constitute a major sustainability challenge.
It found that 94.5% said AI had increased their data storage needs, by even more (97%) that expected AI’s growth to further affect the storage demand.
However, despite widespread recognition and consideration for the environment, companies are struggling to prioritize the in the midst of rising costs, which customs, the government’s goals and the pure lack of some materials have affected
Data centers face a large headache for sustainability
Nearly 95% of respondents are concerned about the environmental impact, says Seagate, but only 3.3% prioritize it in purchase decisions with many who focus on the total cost of ownership and buying costs.
Among the most important factors that put data centers at risk are high energy consumption (53.5%), raw material requirements (49.5%), physical space limits (45.5%), infrastructure costs (28.5%) and acquisition costs (27%).
“Data centers are under intense control-not only because they support modern AI workload, but because they become one of the most energy-intensive sectors in the digital economy,” said Seagate SVP of Cloud Marketing, Jason Feist.
Seagate imagines energy -efficient technologies that play a broader role in the decarbonization of data centers, reduces energy needs and striking other goals at the same time.
Although SSDs promise to be faster and more efficient, Seagates Hamr-based Mozaic 3+ platform (for HDDs) can deliver up to three times more energy density, while reduced embodied carbon by over 70% per year. Terabytes and lowers costs per Terabyte by 25%.
The report also constitutes the motto ‘Reduces, recycled, reuses’ by highlighting the importance of both expanding the life of the product and then recycling shut down equipment to reduce its environmental burden.
Sharing accountability through collaboration across the supply chain also helps reduce emissions from Scopes 1, 2 and 3, enabling a wider effect.
“Sustainability cannot be solved in isolation. A holistic approach that spans infrastructure, life cycle management and industrial responsibility could ensure that the growth of AI and data entrepreneur does not come at the expense of the environment,” FEIST added.
