TRUSTA Unveils Energy-Efficient SSDs for AI Servers at OCP APAC 2025

With the growing popularity of generative AI and large language models (LLM), the load on data centers has reached record levels. According to research, since 2012, the computing power required to train AI models has increased by 4.7 times annually. It is expected that by 2030, the amount of data used for AI inference will exceed the data for training by 3.8 times, and the energy consumption of data centers will increase by 1.65 times compared to 2023.

Generative AI is also accelerating the spread of synthetic data, which already exceeds the volume of real data. Combined with the 24/7 operation of modern data centers, this creates serious challenges in the area of energy consumption and carbon footprint.

Jeffrey Lee, Vice President of ADATA Enterprise Solutions, noted:

"TRUSTA focuses on the performance standard\"IOPS/Watt\" and \"Throughput/Watt\", which evaluates the balance between speed and energy consumption. This allows customers to choose solutions that reduce operating costs and help achieve carbon neutrality."

In response to the growing demands of AI and cloud computing, TRUSTA introduced a new line of SSDs, including the flagship T7P5 PCIe 5.0 model. Its key features:

  • Read/write speed: up to 13,500 / 10,300 MB/s.
  • Energy efficiency: 447 MB/s per Watt (1.6 times higher than competitors).
  • Reliability: up to 3 DWPD (Drive Writes Per Day).
  • Form factor support: U.2, E1.S, E3.S, M.2.

This drive is well suited for AI/machine learning training, OLTP/OLAP (online transaction and analytics) and for processing big data and graphics.

In addition to SSDs, TRUSTA demonstrated server DDR5 R-DIMM modules with a bandwidth of 6400 MT/s and a capacity of 32 GB to 128 GB, making the company one of the key players in the field of energy-efficient data center solutions.

Participation in OCP APAC 2025 confirmed TRUSTA's ambitions in creating sustainable, high-performance solutions for AI infrastructure. With a focus on energy efficiency and low power consumption, the company helps businesses reduce costs and move closer to carbon neutrality.