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in the cloud, with attendant upload times and costs, the new True Hybrid offering from Cadence creates a dynamic environment for chip and system design.
When creating a new chip, design teams currently have to chose whether a specific task in the EDA workflow will run in their own data center, where they can control security and resource utilization, or in the cloud where they have access to practically unlimited elastic compute resources. To do the former, they must spend capital on an expensive, and limited, compute infrastructure. To do the latter, they need to upload massive data files to the cloud, which takes time and costs money.
Both Cadence and Synopsys have extensive cloud solution portfolios, both in public clouds and their own managed client-facing clouds. In fact, Cadence already enjoys a significant following of their current cloud offering, with over 350 customers using the Cadence Cloud portfolio for their electronic design work. And the Cadence Cloud is indeed secure: the portfolio is ISO/IEC 27001:2013 and ISO/IEC 27017:2015 security certified and follows the Cloud Security Alliance -recommended controls.
Smart move, Cadence. As these workloads increasingly require significant GPU capacity, more EDA customers will evaluate cloud hosted simulation and analysis, and the True Hybrid approach reduces one of the bigget hassles in cloud adoption.should not be taken as advice to purchase from or invest in the
companies mentioned. Cambrian-AI Research is fortunate to have many, if not most, semiconductor firms as our clients, including Blaize, BrainChip, CadenceDesign, Cerebras, D-Matrix, Eliyan, Esperanto, GML, Groq, IBM, Intel, NVIDIA, Qualcomm Technologies, Si-Five, SiMa.ai, Synopsys, Ventana Microsystems, Tenstorrent and scores of investment clients. We have no investment positions in any of the companies mentioned in this article and do not plan to initiate any in the near future.
Cadence Cloud True Hybrid EDA Synopsys AWS EDA On Azure
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