AI Paving Way For Next-Gen Chips
QUICK NEWS: We are in the era where the rise of AI-based Next-gen Chip designs is happening
Summary:
· Moore’s law says that the number of transistors within the integrated circuit (IC) increases two times every two years.
· The demand for next-gen chip designs is rising because of their demand & our approach toward a more digitally-connected world.
· Semiconductor industry has started leveraging AI for chip design.
· Electronic Design Automation (EDA) has become the core of the semiconductor and tech industry in chip design.
· AI systems run on cloud platforms to reduce the time-to-market of chips.
According to Moore’s law, the number of transistors within the integrated circuit (IC) increases two times every two years & the size decreases. And, yes, we are experiencing 7 & 5-nanometer semiconductor chips. However, today, we stand amidst the digital revolution that fundamentally revised the core concepts of the electronics, semiconductor, and tech industries. The urge for better capabilities in a smaller area with higher performance propels innovation in the chip design industry.
Using artificial intelligence (AI), semiconductor and chip design companies can provide better chip designs. Again the time-to-market along with the cost also reduced significantly. According to Deloitte Global’s prediction, semiconductor companies will lead the world. It will spend 300 million USD on internal and third-party AI tools for chip design in 2023. The number will rise by 20 percent each year for the next four years. They predict it will surpass 500 million USD in 2026.
The demand for next-gen chip designs is rising because of their demand & our approach toward a more digitally-connected world. All the existing and latest technologies like wearable devices, smartphones, autonomous vehicles, & other electronic devices we use utilize semiconductor chips. Electronic Design Automation (EDA) has become the core of the semiconductor and tech industry in chip design. It contains the hardware, software, and IP that chip designers employ for designing & developing cutting-edge semiconductors.
Enterprises require AI platforms that help make efficient chip design with lesser time-to-market. These AI run on cloud-enabled systems. The EDA-driven operations are growing exponentially — as it pursues ever-greater power, performance, and area (PPA) with higher bandwidth & lower latency.
Conclusion
AI-driven chip-design markets have become the new norm with the advent of Electronic Design Automation (EDA) and artificial intelligence. It contains the hardware, software, and IP that chip designers employ for designing & developing cutting-edge semiconductors.
