{"id":120946,"date":"2026-07-28T03:03:47","date_gmt":"2026-07-28T03:03:47","guid":{"rendered":"https:\/\/www.europesays.com\/ai\/120946\/"},"modified":"2026-07-28T03:03:47","modified_gmt":"2026-07-28T03:03:47","slug":"siemens-and-nvidia-launch-self-verifying-agentic-ai-for-chip-and-circuit-board-design","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ai\/120946\/","title":{"rendered":"Siemens and Nvidia launch self-verifying agentic AI for chip and circuit board design"},"content":{"rendered":"

\tBecome a member of GB MAX to gain exclusive access to the industry and to the most influential global B2B leadership community in the business of gaming, entertainment, and tech. Join now<\/a> and also get a VIP ticket to GamesBeat Next (Nov 2-3, SF).<\/p>\n

Siemens today announced an expansion of its strategic partnership with Nvidia to
deliver self-verifying agentic AI workflows to EDA, helping semiconductor and printed
circuit board (PCB) engineering teams to do better work.<\/p>\n

Those teams will move from autonomous task orchestration toward more trusted, continuously validated engineering outcomes. The new capabilities build on Siemens\u2019 recently introduced Fuse EDA AI Agent system and add new Nvidia AI technology to help long-running, domain scoped, AI agents reason, act and continuously validate decisions against deterministic, physics-based EDA engines.<\/p>\n

The updates to Siemens\u2019 Fuse EDA AI Agent are designed to help the semiconductor
and PCB industry move beyond simple automation and deliver trusted and verifiable
outcomes that improve result quality, time-to-results, tool-calling reliability and token efficiency across long-running engineering workloads. The Fuse EDA AI Agent system is now integrated into Siemens\u2019 recently launched Intelligence Center X, supporting agent creation and orchestration in Siemens\u2019 enterprise industrial AI environment.<\/p>\n

Intelligence Center X delivers AI-driven, coordinated processes across design, manufacturing and supply chain \u2013 enhancing the comprehensive digital twin to support smarter execution and more trusted outcomes.<\/p>\n

Timothy Costa, vice president of computational engineering at Nvidia, said in a press briefing that Siemens in integrating AI and GPUs into its manufacturing and operations.<\/p>\n

\u201cThis closes the loop between engineering intent and real world performance,\u201d Costa said. \u201cWe can connect what happens during design simulation with production systems and operational data, then use that feedback to improve both the product and the process. That\u2019s how AI moves from being a point solution to part of the industrial operating system.\u201d<\/p>\n

Siemens has been investing heavily in both digital twins and physical AI, or robots driven by the latest AI technologies.<\/p>\n

Amit Gupta chief AI strategy officer for Solido custom IC at Siemens, said in a press briefing that Siemens has chip and systems design tools for engineers for designing comprehensive digital twins. Now the big German company has a number of tools that are accelerated with graphics processing units. The company is getting 10 times to 15 times speedups with its tools thanks to the integration with GPUs. Solido Spice, for instance, is getting 10 times better speed thanks to GPU integration.<\/p>\n

Enabling trusted self-verifying AI agents for semiconductor and PCB design The Fuse EDA AI Agent solution now combines Siemens engineering intelligence and trusted verification capabilities with NVIDIA AI infrastructure technologies to execute complex semiconductor design tasks with enhanced speed and precision:<\/p>\n

\u201cOur expanded collaboration with Nvidia enhances our domain-specific industrial AI,
physics-based EDA engines and accelerated computing to create trusted, self-verifying
AI workflows,\u201d said Gupta. \u201cBy enabling autonomous and long-running EDA AI agents to continuously validate their decisions against proven engineering tools accurately and efficiently, we help customers accelerate development, improve design quality and increase confidence in trusted engineering outcomes.\u201d<\/p>\n

\uf0b7 Optimized EDA agents built with Nvidia NeMo Gym open library for agentic environments improve result quality, speed and token efficiency for semiconductor and PCB design. This empowers customers with EDA design flows that get smarter over time with self-verifying agents which learn from every project to automatically improve execution strategies, optimize workflows and make better use of accumulated context.<\/p>\n

\u201cSemiconductor and PCB design are among the most complex engineering challenges in the world, and AI agents need trusted tools to reason, act and verify their work,\u201d said Costa. \u201cSiemens is combining its EDA software with Nvidia accelerated computing, AI software and Nemotron open models to create self-verifying agentic workflows that improve design quality, speed up results and give engineering teams greater confidence in every step of the process.\u201d<\/p>\n

\uf0b7 The Nvidia OpenShell secure runtime enables enterprise scale design teams
to run autonomous agents across their entire EDA environment with enterprise-
grade security, access controls and audit trails within governed runtime environments.
\uf0b7 Advanced reasoning with the latest Nvidia Nemotron models and Switchyard accelerates design with AI agents that understand complex engineering trade-offs at the speed of AI reasoning and supports complex engineering workflows with improved performance and token efficiency.
\uf0b7 Nvidia accelerated computing and CUDA-X libraries helps design teams achieve signoff-quality results in hours instead of days, powering both AI reasoning and EDA engines for dramatic speedups without sacrificing accuracy.<\/p>\n

Together, these capabilities enable secure and token-efficient multi-agent coordination,
real-time feedback and improved convergence across semiconductor and PCB design
and verification flows, helping customers achieve trusted engineering outcomes.<\/p>\n

Comprehensive end-to-end design automation<\/p>\n

Building on these capabilities, Siemens\u2019 Fuse EDA AI Agent orchestrates workflows
across the semiconductor and PCB lifecycle. Domain-specific agents collaborate
across synthesis, verification, implementation and validation processes to optimize
outcomes holistically.<\/p>\n

The new offering spans Siemens\u2019 EDA technologies across the full semiconductor and
electronics lifecycles, from high-level synthesis with Catapult, verification with Questa
One and Veloce, and custom IC design and verification with Solido, through to physical
implementation with Aprisa, signoff verification with Calibre and design-for-test with
Tessent. It also supports advanced 3D IC integration using Innovator3D IC and PCB
design with Xpedition.<\/p>\n

Accelerating custom integrated circuit (IC) design with agentic AI<\/p>\n

The expanded collaboration enhances Siemens\u2019 Solido Characterization Suite with
agentic AI capabilities. These agentic workflows automate library characterization by automatically generating and verifying Liberty files by running Solido Characterizer with
Solido LibSPICE, Solido Generator and Solido Analytics. The solution delivers
production-proven results for advanced-node standard cell, memory and custom IP
libraries while reducing characterization turnaround times by more than 10X and
achieving over a 5X to 10X reduction in token costs.<\/p>\n

These agentic capabilities extend further into the custom IC design flow with the new
Solido Layout Analyzer, an AI-powered measurement-aware solution for visualizing,\u00a0exploring\u00a0and analyzing parasitic and layout-dependent effects in post-
layout designs. Integrated with Fuse EDA AI Agent, Solido Layout Analyzer
dramatically boosts design quality and engineering productivity by enabling natural
language prompting with results analysis, fixing recommendations, and report
generation.<\/p>\n

\u201cFor STMicroelectronics\u2019 non-volatile memory team, the ability to relate layout insight
directly to electrical behavior is critical. Rather than discovering layout dependent
effects late in the process, Solido Layout Analyzer brings this analysis earlier into the
flow, improving design confidence and helping cut down the time we spend debugging
complex design blocks by weeks. We are planning to test and validate the advantages
in our on-going design activity,\u201d said Gianbattista Lo Giudice, Non-Volatile Memory
Design manager, STMicroelectronics, in a statement.<\/p>\n

Accelerating digital verification with agentic AI<\/p>\n

With verification consuming up to 70 percent of design time and complexity, the industry faces an unprecedented productivity crisis. Building on the recently announced Questa One Agentic Toolkit, Siemens is extending these domain-scoped agentic AI workflows with Nvidia\u2019s Nemotron 3 Ultra reasoning model, designed for complex, long-running agents. In agentic RTL benchmarking with the ACE-RTL agent, Nemotron 3 Ultra leads among open models. Its reasoning and efficiency help autonomous agents evaluate engineering trade-offs while continuously validating designs against golden test harness. This enables teams to identify issues earlier, accelerate verification closure, and deliver trusted outcomes faster.<\/p>\n

\u201cWe\u2019re at an inflection point where the complexity of AI chips, chiplets, and 3D-ICs has
outpaced traditional verification methodologies,\u201d said Abhi Kolpekwar, senior vice
president and general manager Digital Verification Technologies, Siemens EDA,
Siemens Digital Industries Software, \u201cagentic AI is the natural path forward that scales
with this complexity\u2014agents that can orchestrate multi-domain verification, reason
across billions of test scenarios, and deliver production-quality results in timeframes
that were impossible just two years ago.\u201d<\/p>\n

Availability<\/p>\n

Siemens\u2019 expanded AI-driven EDA capabilities will be available in forthcoming releases
of Siemens\u2019 AI-native EDA portfolio. To learn more about how Siemens is bringing the
power of Agentic AI to the EDA industry, visit this link<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"Become a member of GB MAX to gain exclusive access to the industry and to the most influential…\n","protected":false},"author":2,"featured_media":120947,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[179,7493,10465,34266],"class_list":["post-120946","post","type-post","status-publish","format-standard","has-post-thumbnail","category-agentic-ai","tag-agentic-ai","tag-agentic-artificial-intelligence","tag-eda","tag-siemens"],"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/120946","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=120946"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/120946\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/120947"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=120946"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=120946"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=120946"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}