embedded.com, Oct. 28, 2024 –
The semiconductor industry is undergoing rapid transformation, driven by several key trends: the increasing complexity and cost of chip design, the growing need for optimized and specialized solutions, and the escalating demands for compute and power efficiency, particularly in AI applications. In response to these challenges, Arm has positioned itself as a leader by delivering what it claims to be the most power-efficient high-performance-computing (HPC) platform across multiple markets.
The rising cost and complexity of producing sophisticated chips is among the most urgent problems in semiconductor design nowadays. Companies have to be creative, as the need for more specialized products catered to different uses is ever rising. Arm is well conscious of this, as it drives much of the technology ecosystem on the planet.
"Arm is delivering a flexible technology portfolio that lets partners design for their needs," Kevork Kechichian, EVP of solutions engineering at Arm, said in an interview with Embedded.com. Arm wants to enable businesses to satisfy growing needs for AI and other data-intensive applications by allowing new silicon designs with power efficiency at their heart.
Particularly, AI is shown to be a major driver of transformation in the semiconductor market. Designers have to discover fresh approaches to solve problems while computation and power needs keep rising relentlessly. Using chiplets–modular techniques to chip design that deviate from combining all capabilities on a single, monolithic chip–is one method gaining popularity. Here is where Arm's adaptable technology and optimized software solutions become crucial so that its partners may fit these changing designs while preserving great performance and power economy.
Arm technology is deployed across several markets, including the developing edge computing and IoT industries, where AI plays a key role. The change from conventional embedded devices to smart, linked systems has major business potential. "Over time, IoT has evolved from traditional devices to more intelligent ones with the addition of connectivity," Kechichian said. Particularly in sectors such as manufacturing automation and smart-home applications, the fast-expanding edge AI use cases are driving demand for progressively more powerful hardware and software solutions.