category: Low Power-High Performance

category: Auto, Security & Edge AI

New USB Standards: Benefits And Incompatibilities
By Ed Sperling - 23 Jun, 2026 - Comments: 0

Just because it's a standard doesn't mean everything will work together, and this is especially evident with conflicting USB standards. David Shin, senior product marketing manager at Cadence Design Systems, explains where incompatibilities can crop up, why it's so difficult to control the different versions, and what's behind all this confusion. » read more

Research Bits: June 23
By Jesse Allen - 23 Jun, 2026 - Comments: 0

Redesigning high-NA EUV A researcher from the Okinawa Institute of Science and Technology (OIST) proposes redesigning the illumination systems and projectors used in high-NA EUV lithography to reduce optical effects and enhance resolution. In the proposed projector design, the collector mirrors in the illumination system have a simpler design to bring short wavelengths of light from the EUV... » read more

Cloud HPC For AI: Addressing Latency, Cost, And Scale At The Architectural Level
By Sumit Vishwakarma - 22 Jun, 2026 - Comments: 0

Many organizations assume that moving HPC workloads to the cloud is simply a matter of lifting and shifting on-premises clusters. In practice, that approach often erodes performance, inflates costs, and undermines AI training efficiency. Getting the most out of HPC in the cloud requires a fundamentally different architectural approach — one that minimizes latency, maximizes utilization, an... » read more

Research Bits: June 15
By Jesse Allen - 15 Jun, 2026 - Comments: 0

NAND in space Researchers from Georgia Institute of Technology and Pennsylvania State University built ferroelectric NAND flash memory chips that can withstand up to 30 times higher radiation levels compared to conventional NAND. “If you send traditional flash memory to space, the radiation interacting with flash memory’s trapped electric charge can easily corrupt the data,” said Asif... » read more

Agentic AI Is Changing Data Center Architectures
By Ann Mutschler - 11 Jun, 2026 - Comments: 0

Key Takeaways: The rise of agentic AI is shifting data centers from GPU-centric number crunching to CPU-driven orchestration, where managing long-running reasoning loops and context is just as important as raw compute. Integrating CPUs, GPUs, and stacked memory into tightly coupled multi-die architectures with varying workloads makes it much harder to ensure they will be reliable and ef... » read more

Can AI Create Missing Models?
By Brian Bailey - 11 Jun, 2026 - Comments: 0

Key takeaways Models are an essential part of EDA flows, each capturing necessary detail while retaining good execution performance. Models have been expensive to create, maintain and verify, restricting their utilization, but AI may be able to significantly reduce their cost. A deeper question remains. Should AI be used to create models that help existing flows, or should AI be used... » read more

Mastering 3D-IC Verification Complexity
By Matt Grange - 11 Jun, 2026 - Comments: 0

The semiconductor industry's transition from traditional 2D integrated circuits to 2.5D and 3D-IC configurations represents more than an incremental advancement. This architectural shift, driven by the need to push beyond conventional scaling limitations, introduces a cascade of verification challenges that legacy methodologies struggle to address. As designs incorporate multiple stacked dies, ... » read more

Clocked DDR5 Client Memory Modules Enable Scaling To 9600 MT/s For AI PCs
By Carlos Weissenberg - 11 Jun, 2026 - Comments: 0

AI PCs are driving a new class of client workloads that behave very differently from traditional productivity or multimedia applications. Agentic AI systems are expected to plan, execute, and adapt in real time, maintaining persistent context while orchestrating multiple concurrent tasks. These usage patterns place sustained pressure on the memory subsystem, requiring not only higher peak bandw... » read more

How To Start Building Edge-Native AI
By Sharad Chole - 11 Jun, 2026 - Comments: 0

Cloud AI enables features like voice assistants and recommendations via centralized data centers, but it relies on consistent network connectivity, which often fails in real-world conditions. Edge-native AI shifts inference to devices such as phones, cars, and sensors, enabling real-time processing, enhanced privacy, and operational resilience. Why edge AI outpaces cloud Edge AI addresses key... » read more

Building A Production-Ready Optically Connected Rack For AI Scale-Up
By Nandita Aggarwal - 11 Jun, 2026 - Comments: 0

By Nandita Aggarwal and Nicholas Chang As AI models drive compute demand, servers keep getting bigger. Rack‑scale AI systems (such as the 72-GPU systems from NVIDIA or AMD) enable many GPUs to work together through system-level optimization. They push beyond the limits of single-chip performance and meet the soaring compute needs of the AI era. But this is just the beginning. The next s... » read more

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