
AI Chips provides custom chip design to accelerate machine learning in real-world applications. They use ASIC and FPGA solutions to beat CPUs and GPUs on performance, power, and cost. The company offers end-to-end chip design and mixed-signal engineering to tailor SoC solutions for autonomous vehicles, AI systems, and IoT. Core technologies include ASIC, FPGA, SoC, and mixed-signal design, with a focus on edge computing and low power. The market targets manufacturers and integrators of AI systems seeking high-performance, energy-efficient semiconductors.

AI Chips provides custom chip design to accelerate machine learning in real-world applications. They use ASIC and FPGA solutions to beat CPUs and GPUs on performance, power, and cost. The company offers end-to-end chip design and mixed-signal engineering to tailor SoC solutions for autonomous vehicles, AI systems, and IoT. Core technologies include ASIC, FPGA, SoC, and mixed-signal design, with a focus on edge computing and low power. The market targets manufacturers and integrators of AI systems seeking high-performance, energy-efficient semiconductors.