HW and SW Architecture Approaches For Running AI Models


How best to run AI inference models is a current topic of much debate as a wide breadth of systems companies look to add AI to a variety of systems, spurring both hardware innovation and the need to revamp models. Hardware developers are making progress with AI accelerators and SoCs. But on the model side, questions abound about whether the answer might come from revisiting older, less compl... » read more

RISC-V Conformance


Experts At The Table: Despite growing excitement and participation in the development of the RISC-V ecosystem, significant holes remain in the development flow. One of the most concerning is conformance, which must exist before software portability becomes possible. Semiconductor Engineering discussed the issue with John Min, vice president of customer service at Arteris; Zdeněk Přikryl, CTO... » read more

Startup Funding: Q3 2024


Numerous new companies burst on the scene in the third quarter of 2024, including startups with plans for customizable RISC-V-based IP for applications from microcontrollers to data centers, high-speed data center interconnects, compute-in-memory LLM inference chips, and surveillance camera SoCs. Although it did not report funding, AheadComputing also launched last quarter to develop RISC-V cor... » read more

Barriers To Chiplet Sockets


Experts At The Table: Demand for chiplets is growing, but debate continues about whether standards and general-purpose chiplets will kick-start the commercialization boom, or whether success will come through customization of those chiplets. Semiconductor Engineeering sat down to discuss these and other related issues with Elad Alon, CEO of Blue Cheetah; Mark Kuemerle, vice president of technol... » read more

Using AI To Glue Disparate IC Ecosystem Data


AI holds the potential to change how companies interact throughout the global semiconductor ecosystem, gluing together different data types and processes that can be shared between companies that in the past had little or no direct connections. Chipmakers always have used abstraction layers to see the bigger picture of how the various components of a chip go together, allowing them to pinpoi... » read more

RAG-Enabled AI Stops Hallucinations, Adds Sources


Many EDA companies have taken the first steps to incorporate generative AI into their tools, and in such tightly controlled environments GenAI appears to have great benefits. But its broader adoption has been delayed by its notorious inaccuracy, giving results that are often out of date, untrue, and unsourced. That's starting to change. GenAI is evolving so rapidly that these kinds of proble... » read more

Pressure Builds To Adopt Virtual Prototypes


Virtual prototypes, often used as a niche tool in the past, are becoming essential for developing complex systems. In fact, systems companies are finding they no longer can function without them. In the semiconductor industry, a virtual prototype is a model for a system at an abstraction level above RTL. But there is no such thing as 'the' virtual prototype. They are constructed for a partic... » read more

What Comes After HBM For Chiplets


Experts At The Table: Semiconductor Engineering sat down to discuss what will trigger the creation of a commercial chiplet marketplace, and what those chiplet-based designs will look like, with Elad Alon, CEO of Blue Cheetah; Mark Kuemerle, vice president of technology at Marvell; Kevin Yee, senior director of IP and ecosystem marketing at Samsung; Sailesh Kumar, CEO of Baya Systems; and Tanuja... » read more

New AI Processors Architectures Balance Speed With Efficiency


Leading AI systems designs are migrating away from building the fastest AI processor possible, adopting a more balanced approach that involves highly specialized, heterogeneous compute elements, faster data movement, and significantly lower power. Part of this shift revolves around the adoption of chiplets in 2.5D/3.5D packages, which enable greater customization for different workloads and ... » read more

AI’s Role In Chip Design Widens, Drawing In New Startups


Using AI in EDA is reinvigorating the whole tools industry, prompting established players to upgrade their tool offerings with AI/ML features, while drawing in startups trying to carve out differentiated approaches to fill unaddressed gaps with new tools and methodologies. Today’s new generation of entrepreneurs is comprised of both young post-grads with innovative ideas and industry veter... » read more

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