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PowerLattice Develops Power Delivery Chiplet That Cuts Power by 50%

PowerLattice has emerged from stealth with a new power delivery chiplet designed for AI accelerators, GPUs, and CPUs, claiming over 50% power reduction. By integrating power delivery directly into the processor package using stacked chiplet design, on-die inductors, and software control, the approach could reshape high-performance, modular semiconductor systems.

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Snapdragon X2 Elite Extreme Brings 80 TOPS AI and Multi-Day Battery to Windows PCs

Qualcomm’s Snapdragon X2 Elite Extreme and X2 Elite deliver faster CPU and GPU performance, 80 TOPS AI compute, and improved battery life for Windows laptops.

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Toshiba Expands DTMOSVI 600 V MOSFET Series with Four-Pin Package for Higher Efficiency

Toshiba’s new DTMOSVI 600 V MOSFETs in the TO-247-4L(X) package reduce switching loss and improve efficiency for servers, UPS and PV inverters.

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Toshiba 40V MOSFET Cuts Losses In Power Supplies

Toshiba has introduced the 40V TPHR6704RL power MOSFET using its U-MOS11-H process, combining ultra-low on-resistance, improved figure of merit, and lower switching spike behavior for data center and industrial power supply designs.

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TDK Brings High-Inductance Thin-Film Parts to Optical Transceivers in AI Data Centers

TDK’s new 10 µH thin-film inductor delivers low resistance and high reliability for optical transceivers in AI data centres.

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Cree LED OptiLamp Pixels Bring Integrated Control To Modern Displays

Cree LED’s OptiLamp devices integrate driver and control logic inside each pixel, enabling smoother visuals, lower power use, true 1 to 1 scan behavior and simpler display architectures for large and small format systems.

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Nexperia’s ASFETs Improve Dynamic Current Sharing in High-Power 48 V Systems

Nexperia’s new 80 V and 100 V ASFETs reduce current imbalance in parallel MOSFET designs, simplifying motor drives and industrial 48 V applications.

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Are Analog ICs the Way Forward in AI?

Unconventional AI is developing an analog chip to tackle AI’s scaling and energy efficiency challenges. Backed by Andreessen Horowitz, the startup aims to revolutionize neural network processing using energy-efficient analog circuits and memristor technology.

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