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Recently,NatChip Microelectronics has officially launched the NSCSA285 Series.

With the exponential growth of AI chip performance, server power consumption has surged. For example, Nvidia’s B200 GPU consumes 1000W per chip, and the GB200 model reaches 2700W, pushing server rack power demand from 20kW to over 120kW.

To mitigate climate change, significant progress has been made in non-fossil fuel and renewable energy solutions, accelerating the electrification of transportation.

According to a recent report from Nikkei, TSMC has refined its expertise in building semiconductor fabs in the U.S. after a five-year construction cycle for its first Arizona plant on March 28.

Meeting stringent safety requirements while minimizing design complexity and cost has long been a challenge for engineers.

This article explores these questions, highlighting key industry players integrating AI into PCB design and examining how engineers perceive AI's role in the field.

For the past two years, AI’s rapid advancements have kept the industry focused on cloud-based model training.

Cambridge GaN Devices (CGD), a fabless semiconductor company specializing in eco-friendly GaN (gallium nitride) power devices

Reports from Heise Online indicate that NVIDIA’s RTX 50 series laptop GPUs may be facing the same ROP (Raster Operations Pipeline) unit reduction issue as their desktop counterparts.

Microchip Technology Inc. has introduced the MPLAB® XC Unified Compiler License to provide an efficient method for managing multiple licenses for its MPLAB® XC8, XC16, XC-DSC, and XC32 C compilers. This solution consolidates the required licenses to decrease overhead and enhance flexibility, scalability, and ease of use, addressing the financial pressures and administrative burdens associated with purchasing and managing separate software access models for each compiler.