Ansys 2025 R2 Launches AI-Driven Simulation Tools, Enhanced Cloud Capabilities, and Streamlined Engineering Workflows

Ansys 2025 R2 Announcement: Accelerating Simulation for Product Development

PITTSBURGH, July 29, 2025 – Ansys (NASDAQ: SNPS) has released its 2025 R2 update, introducing AI-powered features that speed up simulation and improve accessibility across its product lineup. This release enhances solver performance, streamlines workflows, and boosts engineering flexibility with expanded Python support and on-demand cloud computing.

Ansys technology enables teams to scale complex models, explore more design options, and make informed product decisions early in development, supporting applications from next-generation satellites to data center design.

AI-Driven Tools and Features

Ansys 2025 R2 introduces Ansys Engineering Copilot, a virtual assistant embedded within Ansys products. It offers AI-driven support, connecting users instantly to a vast knowledge base including thousands of articles, over 800 innovation courses, a global user forum, and support case management. Powered by Azure OpenAI technology, AnsysGPT helps engineers find answers quickly and enhances collaboration.

The update adds AI capabilities across many Ansys tools to automate the creation, validation, and optimization of high-fidelity simulations. This reduces manual effort and minimizes errors while speeding model setup. Engineering Copilot is integrated into products such as Ansys Mechanical, Discovery, Fluent, HFSS, Electronics Desktop, and several others, providing one-click access to expert guidance.

Enhanced Simulation Capabilities

• HFSS now delivers radiation pattern calculations up to 17 times faster and improves phased array antenna beam steering accuracy, supporting critical technologies like 5G/6G, radar sensors, and satellite communications.
• Seven Ansys products now feature built-in AI functionality (AI+), simplifying simulations and increasing speed and accessibility. The new Ansys Missions AI+ ODTK tool enhances orbital accuracy for aerospace applications.
• Integration of optiSLang with the Ansys SimAI platform accelerates dataset creation and AI training workflows.

These improvements, combined with better data handling and automation, help organizations create efficient, scalable workflows. Enhanced data management supports the full product lifecycle, enabling confident AI model training and synthetic data generation.

Model-based systems engineering (MBSE) enhancements promote collaboration by maintaining a single source of truth and digital continuity. Expanded Python compatibility allows engineers to customize automation, speeding workflows and improving project repeatability.

Real-World Applications

Danfoss Drives, a leader in energy-efficient motor control, uses Ansys simulation to validate complex system designs. This helps optimize performance, reduce energy use, and improve reliability in industrial drives.

The PyAnsys collection now includes over 40 Python libraries, such as PySTK and PyChemkin, providing interfaces to Ansys solutions that automate workflows and enhance productivity.

Cybersecurity is addressed with Ansys medini Cybersecurity SE, a web-based solution automating threat analysis and vulnerability management. The Ansys System Architecture Modeler (SAM) Enterprise platform connects software, safety, and simulation through SysML v2, supporting comprehensive MBSE.

Performance and Cloud Enhancements

• New mixed solver in Ansys Mechanical improves performance on large transient models, efficiently analyzing thermal changes over time.
• The updated mesh flow in Mechanical simplifies setup and improves meshing speed and quality for complex stacked electronics.
• Ansys Rocky and FreeFlow offer advanced multiphysics capabilities, including thermal, fluid-structure, and electromagnetic coupling for detailed simulations.
• The Ansys PowerX debugging tool reduces semiconductor design time by quickly identifying parasitic issues and enabling efficient 2D meshing.

Cloud-based simulation is enhanced with on-demand HPC and GPU-optimized infrastructure, allowing faster, scalable simulations without the need for IT setup or HPC expertise. The Ansys Cloud Burst Compute service is now available in six products, including Speos and Lumerical FDTD.

GPU acceleration boosts Ansys Icepak electronics cooling software, enabling faster iterations and deeper insights for challenging electrothermal problems. Improved meshing in Ansys Discovery raises simulation reliability and shortens time-to-solution with new GPU support.

Conclusion

By combining smart automation, advanced AI tools, and flexible cloud computing, Ansys 2025 R2 helps product development teams work more efficiently and confidently. These updates enable faster, more accurate simulations that mirror real-world conditions, supporting better product decisions and innovation.

With expanded Python scripting, AI assistance, and scalable cloud resources, engineers can streamline workflows, reduce errors, and explore more design options in less time. This release strengthens the foundation for digital engineering and data-driven product development.

For those interested in enhancing AI skills related to simulation and engineering workflows, exploring up-to-date AI courses can provide practical knowledge to leverage these new tools effectively.