Hardik Shah
2026.07.27 01:04

๐Ÿ“ข ๐—๐—จ๐—ฆ๐—ง ๐—œ๐—ก: Synopsys and NVIDIA Unveil Autonomous Engineering Workflows Delivering Up to 50X Faster Chip Verification - $NVIDIA(NVDA.US) $Synopsys(SNPS.US)

๐Ÿ‘‰ ๐—ž๐—ฒ๐˜† ๐—›๐—ถ๐—ด๐—ต๐—น๐—ถ๐—ด๐—ต๐˜๐˜€:

โžค ๐—ฆ๐˜†๐—ป๐—ผ๐—ฝ๐˜€๐˜†๐˜€ launches fully autonomous, long-running chip verification workflows.

โžค Design verification delivers up to ๐Ÿฑ๐Ÿฌ๐—ซ faster validated RTL.

โžค Autonomous verification improves coverage by an additional ๐Ÿฎ๐Ÿฌ%.

โžค Agentic workflows compress weeks of manual work into hours.

โžค Analog and mixed-signal workflows improve productivity by up to ๐Ÿฏ๐—ซ.

โžค Autonomous CAE agents accelerate electronics cooling and thermal analysis.

โžค Synopsys now offers over ๐Ÿฎ๐Ÿฌ GPU-accelerated engineering products.

โžค ๐—ฃ๐—ฟ๐—ถ๐—บ๐—ฒ๐—ฆ๐—ถ๐—บ SPICE simulations run up to ๐Ÿญ๐Ÿด๐—ซ faster.

โžค ๐—ค๐˜‚๐—ฎ๐—ป๐˜๐˜‚๐—บ๐—”๐—ง๐—ž workloads achieve speedups of up to ๐Ÿฎ๐Ÿฌ๐Ÿฌ๐—ซ.

โžค Customer availability is planned for the second half of ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฒ.

๐Ÿ‘‰ ๐—ช๐—ต๐˜† ๐—ง๐—ต๐—ถ๐˜€ ๐— ๐—ฎ๐˜๐˜๐—ฒ๐—ฟ๐˜€:

โžค Autonomous agents could sharply reduce semiconductor development timelines.

โžค Faster verification may lower costly chip-design errors before fabrication.

โžค GPU acceleration expands NVIDIAโ€™s role across engineering software workflows.

โžค Synopsys strengthens its competitive position in AI-powered EDA and CAE.

๐Ÿ‘‰ ๐—˜๐˜…๐—ฝ๐—ฒ๐—ฟ๐˜ ๐—ฆ๐˜๐—ฎ๐˜๐—ฒ๐—บ๐—ฒ๐—ป๐˜๐˜€:

๐—ฅ๐—ฎ๐˜ƒ๐—ถ ๐—ฆ๐˜‚๐—ฏ๐—ฟ๐—ฎ๐—บ๐—ฎ๐—ป๐—ถ๐—ฎ๐—ป, Chief Product Management Officer at Synopsys:

โ€œAI is fundamentally reshaping engineering, and Synopsys is at the forefront of this transformation, enabling fully autonomous agents across every stage of silicon and systems development. Our close collaboration with NVIDIA continues to accelerate the development of next-generation AI technologies by combining Synopsys' domain expertise spanning EDA and CAE with NVIDIA's advanced AI infrastructure and technologies. Together, we are enabling a new class of autonomous engineering workflows that elevate productivity, unlock deeper insights, and help customers innovate faster.โ€

๐—ง๐—ถ๐—บ ๐—–๐—ผ๐˜€๐˜๐—ฎ, Vice President and General Manager for Computational Engineering at NVIDIA:

โ€œThe future of engineering is agentic, where AI agents reason, plan, execute complex workflows and verify their own work across the entire product development lifecycle. Synopsys is using NVIDIA AI tools and accelerated computing to build simulation and AI physics agents that help teams close verification, automate thermal analysis and compress development cycles from weeks to hours.โ€

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