Accelerating Engineering with Blackwell Hardware

Synopsys and NVIDIA Reveal Agentic AI Workflows

Collaboration at GTC 2026 targets silicon-to-systems engineering with Blackwell-accelerated performance gains.

By Avantgarde News Desk··1 min read
A stylized digital illustration of a semiconductor wafer integrated with glowing neural network connections in a dark data center setting.

A stylized digital illustration of a semiconductor wafer integrated with glowing neural network connections in a dark data center setting.

Photo: Avantgarde News

Synopsys and NVIDIA announced a strategic partnership at the GTC 2026 conference to build a hardware-accelerated agentic AI stack [1]. This system focuses on silicon-to-systems engineering to streamline complex electronic design workflows [1][2]. The collaboration leverages advanced computing to improve efficiency across the semiconductor industry [3]. The demonstration showed 30X speedups in quantum chemistry tasks using NVIDIA’s new Blackwell hardware [1][2]. Engineers also reported significantly faster circuit simulation times during the presentation [2]. These tools help teams manage the increasing complexity of modern system-on-chip designs [1][3].

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About the author

Avantgarde News Desk covers accelerating engineering with blackwell hardware and editorial analysis for Avantgarde News.

Synopsys and NVIDIA Launch Agentic AI at GTC 2026