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Google Cloud offers powerful compute, networking and GPU/TPUs to run your workloads. But how to feed the beast? EDA workloads require a lot of data and scalable storage plays is that data hub which keeps your workloads going. Google worked with NetApp – a premier on-premises choice for EDA shared storage – to build … Read More
In this webinar, Google Cloud and NetApp explore how semiconductor companies can address the growing infrastructure demands of modern Electronic Design Automation (EDA) workflows. As process technologies continue to advance and chip designs become increasingly complex, engineering teams require scalable, high-performance… Read More
On July 9, 2025, a DACtv session featured a Google product manager discussing the strategic importance of electronic design automation (EDA) and how Google Cloud is optimizing it for the semiconductor industry, as presented in the YouTube video. The talk highlighted Google Cloud’s role in addressing the escalating complexity… Read More
There’s been a lot of discussion and hype regarding use of the cloud for chip design for quite a while, more than ten years I would say. I spoke with Synopsys to better understand their recent Synopsys Cloud announcement to determine if it is different. Briefly, it is different, and here is why:
If you’re trying to design a complex SoC,… Read More
We all know that design complexity is increasing at a fast pace. There’s always more analysis to run on larger and larger volumes of data. During tapeout, these demands can grow by an order of magnitude. Successful design projects need to add huge amounts of CPU, memory and storage for short bursts of time during tapeout to meet their… Read More
