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Daily · Tuesday, January 6, 2026

AMD Eyes Yottascale AI Compute Amidst Growing Power Demands in Data Centers

Today’s buzz centers around AMD’s ambitious plans for Yottascale AI compute capabilities, signaling a strategic pivot in the semiconductor landscape. As power demands for AI chips surge, companies are racing to innovate in both architecture and efficiency. Buckle up, because the competition between AMD and Intel is heating up in the data center arena.

Key Stories

AMD Contemplates And Engineers Yottascale AI Compute

Summary

AMD is focusing on developing Yottascale AI compute capabilities to boost its competitive edge.

Why this matters

• This initiative could redefine AMD's position in the AI chip market.
• It underscores the growing demand for advanced compute solutions in data centers.
• AMD's innovations may force Intel to accelerate its own AI strategies.

Understanding IVRs and their impact on xPU throughput

Summary

AI chip power consumption is escalating, prompting shifts in data center architectures.

Why this matters

• Current demands of 1.5 kW per chip are projected to reach 4-5 kW, necessitating new designs.
• This trend will impact the overall efficiency and operational costs of data centers.
• Companies must adapt to these changes or risk being left behind.

Thermal Packaging Advances for SiC and GaN Semiconductors

Summary

Innovations in thermal packaging are enhancing the performance of SiC and GaN semiconductors.

Why this matters

• Improved thermal management is crucial for maximizing power conversion efficiency.
• These advancements support the growing demand for high-performance power devices.
• Enhanced packaging can lead to broader adoption in automotive and industrial applications.

CES: RISC-V AI neural processor IP from MIPS

Summary

MIPS unveiled a new RISC-V based AI neural processor IP aimed at edge AI applications.

Why this matters

• This development highlights the increasing relevance of RISC-V in the AI landscape.
• It positions MIPS as a key player in optimizing AI processing capabilities at the edge.
• The integration with existing systems could accelerate adoption among developers.

Secured MCUs for smart factories shed features to reduce cost

Summary

STMicroelectronics launched cost-effective MCUs tailored for smart factory applications.

Why this matters

• These new models balance cost and performance, making them attractive for manufacturers.
• They reflect a trend towards more affordable, efficient solutions in industrial IoT.
• This move could enhance STMicroelectronics' competitiveness in the smart factory sector.

Editor's Picks

Simple speedy single-slope ADC

Summary

A new single-slope ADC design promises speed and decent accuracy for various applications.

Why this matters

• This innovation could streamline ADC designs in automotive and IoT sectors.
• Faster and more accurate conversions can enhance overall system performance.
• It reflects ongoing advancements in semiconductor technology aimed at improving efficiency.

When You Should NOT Build an ASIC (And What to Do Instead)

Summary

The article cautions against the common belief that ASICs are always the best choice for chip design.

Why this matters

• It highlights potential pitfalls in ASIC development that can lead to costly mistakes.
• Understanding when to opt for alternatives can save companies time and resources.
• This insight is vital for businesses considering custom chip solutions.