In the rapidly evolving landscape of AI, stands out as a pioneering force in edge computing. Founded in 2018 and headquartered in Burlingame, California, Quadric is a technology company focused on developing high-performance, energy-efficient processors for AI workloads at the edge devices like smartphones, IoT sensors,… Read More
Artificial Intelligence
Inference Acceleration from the Ground Up
VSORA, a pioneering high-tech company, has engineered a novel architecture designed specifically to meet the stringent demands of AI inference—both in datacenters and at the edge. With near-theoretical performance in latency, throughput, and energy efficiency, VSORA’s architecture breaks away from legacy designs optimized… Read More
Emulator-Like Simulation Acceleration on GPUs. Innovation in Verification
GPUs have been proposed before to accelerate logic simulation but haven’t quite met the need yet. This is a new attempt based on emulating emulator flows. Paul Cunningham (GM, Verification at Cadence), Raúl Camposano (Silicon Catalyst, entrepreneur, former Synopsys CTO and lecturer at Stanford, EE292A) and I continue our series… Read More
Pioneering Edge AI: TekStart’s Newport Processor Ushers in a New Era of Efficient Intelligence
One of the more in interesting companies I met at the AI Infra Summit was a company known to me for some time. The most interesting part was the chip they are in the process of taping out; It is a high-performance, ultra-low-power AI processor purpose-built for edge computing. It is claimed to deliver “the processing muscle … Read More
A Tour of Advanced Data Conversion with Alphacore
There is always a lot of buzz about advanced AI workloads at trade shows. How to train them and how to run them. Advanced chip and multi-die designs are how AI is brought to life, so it was a perfect fit for discussion at a show. But there is another side of this discussion. Much of the work going on in AI workloads has to do with processing… Read More
Chiplets: Powering the Next Generation of AI Systems
AI’s rapid expansion is reshaping semiconductor design. The compute and I/O needs of modern AI workloads have outgrown what traditional SoC scaling can deliver. As monolithic dies approach reticle limits, yields drop and costs rise, while analog and I/O circuits gain little from moving to advanced process nodes. To sustain … Read More
Better Automatic Generation of Documentation from RTL Code
One technical topic I always find intriguing is the availability of links between documentation and chip design. It used to be simple: there weren’t any. Architects wrote a specification (spec) in text, in Word if they had PCs, or using “troff” or a similar format if they were limited to Unix platforms. Then the hardware designers… Read More
Learning from In-House Datasets
At a DAC Accellera panel this year there was some discussion on cross-company collaboration in training. The theory is that more collaboration would mean a larger training set and therefore higher accuracy in GenAI (for example in RTL generation). But semiconductor companies are very protective of their data and reports of copyrighted… Read More
PDF Solutions Calls for a Revolution in Semiconductor Collaboration at SEMICON West
SEMICON West was held in Phoenix, Arizona on October 7-9. This premier event brings the incredibly diverse global electronics supply chain together to address the semiconductor ecosystem’s greatest opportunities and challenges. The event’s tagline this year is:
Stronger Together — Shaping a Sustainable Future in Talent,… Read More
The AI PC: A New Category Poised to Reignite the PC Market
The PC industry is entering its most significant transformation since the debut of the IBM PC in 1981. That original beige box ushered in a new era of productivity, reshaping how corporations and individuals worked, communicated, and created. More than four decades later, the AI PC is emerging as a new category — one that promises… Read More


The AI PC: A New Category Poised to Reignite the PC Market