Cadence AuraStack AI agent cuts design time in half, delivers 15X productivity boost for engineers

Cadence AuraStack Transforms PCB and Advanced Packaging Design

Cadence Design Systems unveiled its AuraStack AI agent on Wednesday, marking a significant shift in how electrical engineers approach PCB and advanced packaging design 1

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. Running on Allegro AI Studio, this agentic AI platform represents the world's first solution specifically built to speed circuit board design and speed chip packaging design through intelligent automation 5

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. The system lets engineers describe their goals in plain language, then plans and carries out work using Cadence's existing software tools to lay out and virtually test circuit designs 2

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What sets Cadence AuraStack apart is its approach to melding AI-driven engineering tools with high-precision simulations. Rather than replacing existing tools with hallucination-prone AI models, the system functions as a natural language interface capable of orchestrating complex multi-step workflows 1

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. Michael Jackson, Cadence's corporate vice president and general manager for system design and analysis, told The Register that a PCB or package design often requires completing thousands of tasks throughout development, with 65% of an engineer's day spent navigating these tasks 1

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Dramatic Productivity Boost and Time to Market Reduction

Cadence claims the AuraStack AI agent can cut time to market by up to 2X and lift productivity on individual tasks as much as 15-fold 2

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. By automating the system-design cycle through manufacturing, the platform allows designers to focus on engineering decisions rather than repetitive tasks 1

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. In a demonstration, Cadence showed an engineer using the tool to rework a 5G smartphone's circuit board to build a cheaper version for a new market, with the system recommending consolidating components for a 28% cost saving and finding a lower-cost power-management chip that worked with the circuit board design 2

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The platform automates complex workflows across planning, implementation, and tightly integrated multiphysics analysis domains. Accelerated by NVIDIA Blackwell and NVIDIA CUDA-X architecture, it coordinates domain-specific AI agents to compress development cycles 4

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. The system unifies Cadence multiphysics signoff solutions, including Celsius Thermal Solver, Clarity 3D Solver for 3D-EM, MSC Nastran and Marc Linear and Non-Linear Finite Element Analysis Solvers for mechanical analysis, and Sigrity X Platform for signal and power integrity 5

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Industry Leaders Nvidia and TSMC Deploy the Platform

Several major players in the electronics space have already signed up for the service. Nvidia is using Cadence AuraStack to automate and optimize increasingly complex system design workflows for its engineering teams 4

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. Tim Costa, vice president and general manager of computational engineering at Nvidia, stated that the collaboration with Cadence is advancing AI-powered engineering workflows that accelerate design convergence across the industry, with the platform delivering up to 20X faster multiphysics performance 4

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TSMC is deploying the agentic AI platform to accelerate advanced packaging implementation by leveraging AI-driven automation, enabling timely design convergence for increasingly complex multi-die systems 4

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. Aveek Sarkar, director of the Ecosystem and Alliance Management Division at TSMC, noted that through their multi-year collaboration on substrate auto routing, they are already enabling customers to boost productivity by 100X while delivering quality of results similar to manual routing 4

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. Cadence also named Schneider Electric among early users 2

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AI-HPC Convergence and Flexible Model Integration

The platform represents a glimpse of AI-HPC convergence, where high- and low-precision compute work together to solve bigger and more complex problems faster 1

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. Rather than replacing high-precision simulations that electrical engineers rely on, the AI agent orchestrates existing test and simulation suites that run at higher precision using CPUs, GPUs, and other accelerators 1

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. Jackson emphasized that "the bottleneck isn't automation. It's really engineering intelligence," referring to the reasoning across cost and performance trade-offs that the system is designed to handle 3

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Cadence customers can pair the system with the AI model of their choice, including OpenAI's ChatGPT, Google's Gemini, Anthropic's Claude, or open-source models 2

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. Pricing follows a consumption-based model based on how hard the AI models work, and still requires Cadence's underlying tools 2

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. The platform will be available this year, with the rollout to be completed in September 2

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. With AuraStack, Cadence becomes the only provider with agentic AI solutions spanning the full electronic system design flow, from digital and analog silicon design through to PCB and advanced packaging design, building on its ChipStack, InnoStack, and ViraStack AI Super Agents 5

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