Artificial Intelligence (AI) has been around for decades, but limited access to large data sets and lack of appropriate computing architectures have restrained AI developments, until recently.
The emergence of deep learning, cloud, parallel computing architectures, and the race for sophisticated AI capabilities such as speech, image, video, and text recognition, have accelerated AI research. It is driving a new wave of investment in premium AI hardware, capable of accelerating application development.
One of the layers in the technology stack for artificial intelligence, such as storage, memory, logic, and networking, AI hardware orchestrates and coordinates computations among accelerators, serving as a differentiator in AI.
According to studies, the demand for AI chips and application-specific hardware will increase by about 10 to 15 percent, resulting in a $109bn AI hardware market by 2025. Owing to the continued growth in data availability, compute power, and the developer ecosystem, chipmakers are racing to build AI hardware to capture 40 to 50 percent of the total technology stack value, which is the best opportunity they’ve had in decades.
