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Artificial Intelligence
Jennifer, an OEM hardware designer, is planning a product around a microcontroller she thinks will meet her needs and wants to supply power from a 3V coin cell battery which she must connect though a boost controller. Jennifer searches a rough description of the part she needs, generating a long list of component manufacturers … Read More
In a landmark announcement at NVIDIA’s GTC Washington, D.C. conference Synopsys unveiled deepened collaborations with NVIDIA to revolutionize semiconductor design and engineering through agentic AI, GPU-accelerated computing, and AI-driven physics simulations. This partnership, building on over three decades… 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
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
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
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
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
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Intel to Compete with Broadcom and Marvell in the Lucrative ASIC Business