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AI Physics Powered by NVIDIA
Supercharge Simulation
with AI Physics to
Accelerate Breakthroughs
AI Physics enhances traditional simulation methods with specialized machine learning algorithms to dramatically accelerate engineering and scientific discovery. Innovation-driven enterprises use physics-based AI to discover new insights from data and develop products faster. On Rescale, R&D teams have flexibility to harness cutting-edge AI models, tools, and hardware to solve complex problems with new levels of computing speed and efficiency.
Turnkey AI Platform Built for Enterprise R&D
Unlock applied AI for design exploration, optimization, and digital twins while integrating existing simulation methods. AI model development on Rescale harnesses existing and new simulation data to deploy custom models that deliver rapid predictions in milliseconds with 99%+ accuracy.
Simulate
Generate large-scale multi-physics training data sets from 1000+ integrated CAE simulation applications.
Train
Train, fine-tune, and deploy custom AI models using new or existing synthetic simulation and real-world test data.
Predict
Perform rapid AI inference with instant prediction or evaluate thousands of designs with speed and efficiency.
R&D Use Cases
Cutting-Edge Workflows for Engineering, Science, and Research
- Product design exploration and optimization
- Digital twins of smart factories and hardware-in-the-loop
- Drug discovery and personalized medicine design
- Surrogate models and physics-informed neural networks
Full-Stack AI ToolKit
Flexible and Comprehensive Technologies for AI-Driven R&D
- Modular AI Developer Tools and Pre-Built Workflow Automations
- Broad AI Application and Pre-Trained Model Catalog
- Accelerated Hardware for Workload Optimization
measurable business impact
Drive Results with Applied-AI for Modern R&D Teams
- 10,000X+ Accelerated Results for Design Evaluation
- 99%+ Accuracy Compared to Traditional CFD Simulation
- 85% Improvement in Computing Resource Efficiency
Customer spotlight
General Motors Motorsports Accelerates Aerodynamics Optimization with AI Physics
GM Motorsports is pioneering new AI-accelerated aerodynamics optimization to dramatically reduce R&D cycle time and lap times on the track. In vehicle platform development for the Formula One racing series, where milliseconds matter, Andretti Cadillac and GM Motorsports engineers leverage AI Physics on Rescale powered by NVIDIA to optimize every aspect of chassis aerodynamics. By automating physics-based AI predictions on Rescale with the latest technologies from NVIDIA, Microsoft Azure, and NAVASTO, GM Motorsports accelerates R&D decision-making with greater performance and efficiency.
AI Physics Package
Expand your R&D capabilities on Rescale with the latest AI engineering and scientific computing tools
| Rescale Enterprise | Rescale AI Physics | ||
| Open Source Software | TensorFlow, PyTorch, Caffe, Jupyter Notebooks, etc. |  | |
| GPU Support | Accelerated computing with high-performance GPUs for intensive AI tasks | | |
| API Access | Programmable platform integration and workflow automation | | |
| Commercial AI Software | NAVASTO, PhysicsX, Neural Concept, Monolith AI (Requires additional license to purchase) | | |
| Data Labeling | Comprehensive data labeling for simulation training data | | |
| NVIDIA AI Enterprise | 50+ frameworks, pre-trained models, and development tools. Modulus, TAO, Merlin, NeMo, RAPIDS, and more | | |
| AI Workflow Templates | Pre-built AI training templates and automated workflow for model training and validation | | |
| AI Application & Model Catalog | Ability to publish custom-trained models for you and your team | | |
| AI Model Publishing | Ability to publish custom trained models for you and your team | |
Schedule a Demo
See Rescale AI Physics in action
AI Physics End-to-End Workflow Demo
Aerodynamics optimization of Le Mans Hypercar enhanced with AI prediction achieves 1000x faster results compared to traditional CFD design optimization