Compound semiconductors offer greater energy efficiency, faster data processing, and better reliability.
They are superior to traditional silicon semiconductors in areas such as power electronics, photonics and radio frequency (RF) communications – vital for infrastructure such as data centres that will underpin the AI revolution.
As AI models grow and get more sophisticated, their power consumption also significantly increases. The data centres that power AI are already using 1% of global electricity — a figure that is expected to grow to 8% by 2030.
The need for a shift to faster and more efficient hardware is therefore clear.
Compound semiconductor-based photonic devices will also dramatically increase the speed at which computers process and transmit data, significantly reducing latency in AI applications.
Meanwhile, radio frequency (RF) technologies leveraging compound semiconductors will improve the speed and efficiency of data transfer in AI applications, edge computing, and the Internet of Things (IoT), which is expected to connect over 32 billion devices worldwide by 2030.