Synopsys

AI is evolving from assisting engineers to executing complete workflows.   Meet Synopsys AgentEngineer solutions, a portfolio of long-horizon super agents that can reason through complex engineering objectives, orchestrate specialized task agents, and adapt along the way: bit.ly/47pJe5D

Great silicon starts with great collaboration.🤝 Together with @SamsungDSGlobal, we’re helping customers simplify complexity, accelerate time to market, and turn innovative ideas into production-ready silicon. More: bit.ly/48escI1 #SamsungSemiUS

Software development doesn’t have to wait for silicon.  Synopsys is bringing virtual prototyping to the @Infineon AURIX RC1 microcontroller family, helping automotive teams develop, integrate, and validate software earlier. Learn more: bit.ly/4zbMLzS

What’s next for computational lithography? 🔬 From defectivity-aware ILT to AI-assisted workflows, see what better models + more compute are making possible at advanced nodes. Register now: bit.ly/4ztwBCh

#PhysicalAI demands a new level of integration. Through the @Arm Total Design for Physical AI ecosystem, we're helping accelerate development and reduce risk with pre-integrated IP, virtual development kits and a complete design flow. bit.ly/4Ak1bPu

Save the date: Synopsys plans to report Q4 and full-year FY26 earnings after market close on Tues. December 8th. Find the details and a link to register for our earnings call here: bit.ly/4AfZfaB

🏎️ Every detail matters on the track. See how @BMWMotorsport uses Synopsys simulation to explore more design options, reduce physical testing and refine its race cars. Watch simulation in action: bit.ly/4j02XiE

We’re expanding access to advanced chip design in Europe.  Through EuroCDP, startups, SMEs, and research teams will gain access to Synopsys EDA solutions to help move innovative ideas closer to silicon. Learn more: bit.ly/4BHu5uf

AI is shaping the future of chip design and Synopsys is leading the way. Synopsys’ ground-truth EDA engines turn AI-driven exploration into verified designs, grounded in physics and ready for manufacturing. AI reasons and explores. Synopsys generates and validates.

Less time spent on repetitive tasks means more time for engineers to focus on the work that really matters.

Big milestone for @tetramem. 🎉 Following our conversation on analog in-memory computing and edge #AI, the team successfully taped out its new 12nm MLX300 AI SoC using Synopsys EDA solutions through Synopsys Cloud FlexEDA: bit.ly/4BGB3jd

How do you keep scaling AI infrastructure when energy can’t scale at the same pace? Learn how full-stack co-design, data-movement optimization, and AI-driven engineering are helping the industry get more intelligence out of every watt: bit.ly/4iQHt6X

High-performance computing demands ever-increasing design efficiency. Learn how @HPE's Slingshot team is using Synopsys tools to accelerate chip development while maintaining quality and schedule goals. bit.ly/4e0rjGs

Physical AI is transforming intelligence from something that lives in software to something that operates in the real world.  Experts from @Arm, @NVIDIA, @SchaefflerGroup, and Synopsys discussed how simulation, digital twins, robotics, and AI are converging to create intelligent systems that can perceive, decide, and act safely in physical environments.  Watch now: bit.ly/4yRi82D

For decades, the HPC industry designed around the server. In AI factories, the rack is the new design unit. Read Part 1 of our Architecting AI Factories blog series: bit.ly/4BuhiLI

AI is asking more of chips and raising new questions about how they're developed.  Synopsys President & CEO @SassineGhazi talks AI agents, autonomous engineering, and more with @SemiEngineering’s @Chip_Insider: semiengineering.com/how-clos…

Multi-die architectures, 3D integration, and co-packaged optics are driving the need for early multi-physics analysis, deeper ecosystem collaboration, and AI-enabled design workflows.  Experts from @AMD, @Broadcom, TSMC and Synopsys discussed this and more. Watch on demand now: bit.ly/3ULc0uC

Agentic systems can run the loop, but the objectives, parameters, and oversight remain uniquely human. That's orchestration, and it's becoming core engineering work. Read the final part of our agentic AI blog series: bit.ly/4esXTRl

We’re at #NVIDIAGTC Berlin showcasing our latest work with @nvidia, from GPU-accelerated engineering to physical AI. See how we’re helping customers accelerate design and simulation across silicon and systems: bit.ly/3UF0uAX

Most AI accelerator teams pull IP from several vendors and hope it all works together. That's usually where the schedule slips. We give you every layer of silicon IP the AI/HPC chip needs, from interconnect and memory to foundation and security IP. More: bit.ly/4hZRhL6