Home 9 Simulation 9 Ansys 2025 R2 Adds AI, Automation, and On-Demand Tools

Ansys 2025 R2 Adds AI, Automation, and On-Demand Tools

by | Jul 30, 2025

AI-driven updates adds AI tools, cloud simulation, and Python integration across more than 12 platforms. The improvements aim to reduce setup time, scale workloads, and increase simulation performance by up to 17 times.
Image: Ansys

PITTSBURGH, PA, July 30, 2025 – Ansys, now part of Synopsys, has released 2025 R2, featuring AI-powered tools, streamlined solvers, Python compatibility, and cloud-based simulation across its portfolio. The update is designed to speed up engineering workflows, reduce setup time, and improve accessibility – supporting design decisions from space systems to datacenter infrastructure. With expanded automation and on-demand compute, the release aims to help teams move faster and deliver more with fewer resources.

“Ansys simulation is the touchstone of reality when it comes to physics, bridging the theoretical with the experimental,” said Shane Emswiler, senior vice president of products at Ansys. “With over 50 years of expertise in advanced physics computation, 2025 R2 continues to push the envelope by delivering enhancements for smarter, faster, and more complex simulations. Ansys technology provides the framework to make data meaningful through models, metadata, traceability, and standards – empowering more innovative products now and in the future.”

Ansys 2025 R2 uses AI tools to simplify simulation, support collaboration, and improve team productivity.

Physics-based AI for Intuitive Simulations

Ansys 2025 R2 launches Ansys Engineering Copilot, a virtual assistant that draws on Ansys’ technical knowledge. This tool provides AI-powered support within Ansys products and connects users to resources such as Ansys websites, articles, over 800 courses, and the global user forum. It features AnsysGPT, which integrates Microsoft Azure AI Foundry and OpenAI models, and allows users to create and track support cases.

“We’re pleased to collaborate with Ansys as they continue to develop and integrate innovative AI solutions for their customers,” said Nidhi Chappell, vice president, Azure AI Infrastructure at Microsoft. “Integrating Microsoft Azure AI Foundry with AnsysGPT allows engineers to quickly access critical information and take advantage of the deep engineering expertise from Ansys to enhance productivity and accelerate innovation.”

2025 R2 adds AI capabilities across the Ansys portfolio to create, validate, and optimize  simulation – speeding model creation, reducing manual effort, and mitigating human error.

Maximize Results Through Improved Data Handling and Automation

The new release improves digital engineering by simplifying data handling and management tasks, which helps teams work together. Better data management supports usage of data across the product life cycle, as well as training AI models and creating synthetic data. Updates to model-based systems engineering (MBSE) allow teams to collaborate using a unified data source, supporting digital continuity and teamwork across disciplines.

Expanded Python compatibility enables engineers to automate tasks, manage data, and maintain consistent workflows. For example, Danfoss Drives uses Ansys simulation to validate complex motor control system designs. The simulations help industries improve performance, lower energy use, and maintain operation through precise analysis of drive technology.

“PyAnsys is critical to enabling custom workflow automation, integration, and scalability across our simulation environment,” said Michael Laursen, head of virtual design, test & optimization, Danfoss Drives. “The open ecosystem allows us to connect tools and leverage AI for an accelerated end-to-end workflow. Ansys technology helps our teams advance and maximize our digital design processes to keep pace with an ever-changing industry, all while reducing costs and speeding product development.”

  • Over 40 Python libraries within the PyAnsys collection, featuring PySTK and PyChemkin, which offers a Python interface to Ansys solutions to automate workflows and drives higher productivity across applications
  • Reduce cybersecurity risks by automating threat analysis and vulnerability management in the web-based, cooperative solution Ansys medini Cybersecurity SE
  • Directly connect software, safety, and simulation in one solution with the SysML v2 web-based platform Ansys System Architecture Modeler (SAM) Enterprise, delivering a MBSE methodology​

Using smart automation and data management supports collaborative work across an organization. Advanced computational tools help teams turn insights into actions and carry out tasks with accuracy.

Replicate Reality with Advanced Computation

Addressing complex design problems depends on advanced physics models and simulations that reflect real-world conditions. Ansys continues to update its technology to help users obtain faster results and support new directions in product development.

  • Faster performance on large transient models with the new mixed solver in Ansys Mechanical, supporting analysis of thermal changes over time
  • Eliminate manual setup and improve the speed, rendering, and usability of meshing complex, stacked electronics systems with the mesh flow in Mechanical
  • Ansys Rocky and Ansys FreeFlow provide multiphysics capabilities, including thermal, fluid-structure, and electromagnetic coupling for simulations and performance optimization
  • Ansys PowerX debugging tool reduces design time in semiconductor power devices by identifying parasitic issues, streamlining setup tasks, and enabling 2D meshing

To illustrate, Ampleon leverages simulation technology to design GaN and LDMOS solutions for 4G LTE, 5G NR infrastructure, as well as for industrial, scientific, medical, broadcast, navigation and safety radio applications.

“Designing RF power products is challenging when managing electromagnetic, thermal, and mechanical interactions effectively,” said Dr. Vittorio Cuoco, team lead of modeling and characterization group, Ampleon. “Ansys’ solutions offer precise simulations that tackle these challenges head-on, minimizing design risks and improving reliability. The results are immeasurable – higher performance, energy savings, and greater efficiency.”

This acceleration is further amplified by the flexibility of cloud-based simulation. By leveraging on-demand technologies, businesses can drive digital transformation with ease.

Drive Digital Change with Cloud-based Simulation

Other updates focus on expanding computation through cloud technology, high-performance computing, and GPU-optimized systems. These features help users run simulations quickly, allowing for design exploration. The release also adds web-based and on-demand tools, making it easier for engineers to access resources and manage workflows outside the desktop environment.

  • Ansys Icepak electronics cooling software gets a boost with GPU acceleration, delivering iterations, simulations, and insights into the electrothermal applications and in less time
  • Improved meshing capabilities in Ansys Discovery enhance simulation reliability and quality, accelerating time-to-solution and enabling faster, confident setup with new GPU capabilities
  • The Ansys Cloud Burst Compute on-demand HPC capability is available within six Ansys products, including Ansys Speos and Ansys Lumerical FDTD, eliminating the need for setup, IT support, or HPC expertise

About Synopsys

Synopsys Inc., founded in 1986 and based in Sunnyvale, California, provides software and intellectual property for semiconductor design and verification. Its tools support the full chip development process, including electronic design automation, simulation, silicon IP, and software security testing. The company serves a range of industries, including semiconductors, automotive, aerospace, defense, data centers and industrial systems. Synopsys reported revenue of approximately $6.13 billion in fiscal year 2024 and employs more than 20,000 people worldwide. Its technology is used by leading chipmakers and system developers to accelerate innovation in complex areas such as artificial intelligence and advanced computing. Synopsys recently announced plans to acquire Ansys, expanding its capabilities into multiphysics simulation and further strengthening its role in the electronic and system design ecosystem.