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Artificial Intelligence
The second chapter of our book “Fabless: The Transformation of Semiconductor Industry” describes the ASIC business and how important it is. That was more than 10 years ago and the ASIC business is still at the forefront of the Semiconductor industry and is a key enabler of the AI revolution we are experiencing today.
First let’s … Read More
In the rapidly evolving landscape of AI, Quadric 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 … Read More
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
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
Wilfred Gomes is the co-founder, CEO, and president of Mueon Corporation, a next-generation infrastructure startup rethinking how data centers are built for the AI era. The company’s flagship innovation, Cubelets™, modular, stackable units that unite compute, memory, power delivery and thermal management, replace the … Read More
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
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
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
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
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
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Why Your LLM-Generated Testbench Compiles But Doesn’t Verify: The Verification Gap Problem