Altair has updated HyperWorks 2026 with advances in AI, high-performance computing and multiphysics integration for improved simulation speed and accuracy.
The updated software launches physics-based AI models that can be deployed in secure, browser-based environments, producing results up to 1,000 times faster than traditional solver simulations and domain coverage has been expanded with support for vectors and smoothed-particle hydrodynamics.
Geometric deep learning and generative algorithms along with GPU-accelerated reduced order modelling has enabled near-real-time predictions and faster validation.
Integration of multiphysics simulation allows engineers to analyse complex interactions such as thermal-fluid or electromagnetic-structural systems with greater accuracy. New workflows support e-motor optimisation, battery safety studies, and high-temperature analysis, while co-simulation standards enhance digital continuity.
The updated software has expanded Python and API support along with launching new modelling approaches for realistic particle, fluid and material behaviour. Python-based automation accelerates discrete element method workflows and coupled solvers enable advanced studies of battery safety and material response.
US-based company Altair was acquired by Siemens in October 2024 for $10 billion.
“HyperWorks 2026 exemplifies how Altair and Siemens are driving the future of simulation and empowering engineers to design smarter, faster, and with greater confidence in real-world outcomes by bringing AI, automation, and multiphysics into a unified ecosystem,” said Altair CTO and executive VP of Siemens digital industries software, Sam Mahalingam.
“Following the acquisition by Siemens earlier this year, our commitment is to create the world’s most complete AI-powered portfolio of product lifecycle intelligence software and further enhance the most comprehensive digital twin,” he added.
Improved speed and accuracy are supported by a more streamlined unified workspace. Real-time updates across multi-window views reducing setup time, while flexible implicit modelling and direct surface editing remove geometry barriers to creativity. With clear side-by-side comparisons, teams can then make faster, more confident decisions.
