Synopsys Wins Innovation Award for Analog In-Memory Computing
Synopsys has received the 2025 Global Technology Innovation Leadership Award from Frost & Sullivan for its advancements in analog in-memory computing (AIMC). This recognition highlights Synopsys' comprehensive AI-driven electronic design automation (EDA) suite and cloud-enabled design environment, which accelerate the development of next-generation AI chips, announced in a press release.
The award acknowledges Synopsys' leadership in AIMC design within a unified analog and mixed-signal development environment. This environment supports the creation of energy-efficient AI computing systems by significantly reducing design time and boosting productivity for AIMC-based system-on-chip (SoC) architectures.
Synopsys' recognized solutions include the PrimeSim™ SPICE simulator, which offers up to 15x speed-up using NVIDIA GH200 Superchips, and the Custom Compiler™ paired with the PrimeWave™ Design Environment for seamless integration and reliability analysis. Additionally, Synopsys Cloud provides instant access to the full EDA suite, enhancing time-to-results by 40% on average.
This award underscores Synopsys' commitment to providing engineers with tools that address analog complexity, enabling faster innovation and improved productivity in AI chip development.
We hope you enjoyed this article.
Consider subscribing to one of several newsletters we publish like Silicon Brief.
Also, consider following us on social media:
More from: Chips & Data Centers
Subscribe to Silicon Brief
Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.
Whitepaper
Stanford HAI’s 2025 AI Index Reveals Record Growth in AI Capabilities, Investment, and Regulation
The 2025 AI Index by Stanford HAI provides a comprehensive overview of the global state of artificial intelligence, highlighting significant advancements in AI capabilities, investment, and regulation. The report details improvements in AI performance, increased adoption in various sectors, and the growing global optimism towards AI, despite ongoing challenges in reasoning and trust. It serves as a critical resource for policymakers, researchers, and industry leaders to understand AI's rapid evolution and its implications.
Read more