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Altair® PhysicsAI™ Studio

AI and Simulation | Generate, Train, and Predict in the Cloud

PhysicsAI Studio extends the power of PhysicsAI into an enterprise cloud-based solution that enables teams to generate, train, and deploy AI-powered physics models at scale. Built on PhysicsAI’s geometric deep learning technology, it provides a centralized innovation gateway for AI-driven simulation workflows, accessible entirely from a web browser. By leveraging on-demand cloud high-performance computing (HPC), secure model sharing, and enterprise collaboration, teams can accelerate simulation, generate physics predictions up to 1,000x faster than traditional solvers, and explore more design possibilities—all without physical hardware constraints.

Why PhysicsAI Studio?

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Generate More Training Data with Scalable, On-Demand HPC

Create diverse datasets by augmenting existing data and eliminating data gaps to improve AI model accuracy. With the scalable compute capabilities of Altair One®, generate AI-ready synthetic datasets while managing compute-intensive workloads with on-demand hardware and automated job scheduling.

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Train and Share AI Models Across Teams

Leverage high-performance on-demand cloud computing to train AI models using historical CAE results, reducing costly new simulations. Train multiple models in parallel, optimize resources, and scale AI development without hardware limits. Publish and share models with controlled access.

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Reduce Simulation Time from Days to Hours

Leverage real-time physics predictions in a web-based platform, enabling teams to evaluate new designs instantly, explore more iterations, and make faster, data-driven decisions.

Key Features

End-to-End AI-Powered Engineering in the Cloud

Complete end-to-end AI workflow to collect, train, and deploy models all from a web-based platform – no installation required.

Role-Based Workflows for Every User

Role-based workflows let simulation experts generate training data, help data experts build and refine AI models, and empower designers run AI-powered predictions.

Scalable Cloud Compute with Altair One

Run AI training and physics predictions on demand using GPU-accelerated HPC resources, eliminating hardware constraints and aligning compute costs with business needs.

Fast AI-Powered Predictions from 3D Models

PhysicsAI Studio learns directly from 3D meshes, enabling near-instant physics predictions for new designs without running full simulations.

Generate Synthetic Data for AI Training

Create new training datasets by sampling parametric design spaces, allowing models to learn from a range of physics scenarios without additional manual effort.

No-Code AI Training

Train, optimize, and deploy AI models with intuitive workflows that eliminate the need for programming expertise, making AI more accessible.

AI Model Sharing and Deployment

Publish AI models with permission-based access, allowing teams across the enterprise to share and apply trained models in their workflows.

Store, Manage, and Visualize Data in Altair One

Securely store, manage, and reuse AI and simulation data with Altair One. Analyze simulation outputs directly with built-in 3D results visualization.

Multi-Cloud Support and Workload Management

Run scalable AI training and predictions across multiple cloud providers, including AWS, Azure, Oracle, Google Cloud Platform, or private cloud infrastructure.