AI/ML FOR ENGINEERING & SCIENTIFIC R&D
Powering Innovation: AI/ML for Engineering & Scientific R&D
Transform your engineering and scientific research with Rescale’s AI-assisted engineering capabilities. Learn how engineers, data scientists, and technology leaders can leverage AI/ML for unprecedented efficiency and accelerated innovation in R&D. Discover how Rescale provides scalable hardware, intelligent model development, and AI-powered insights to supercharge your product development cycles.
Barriers Limiting AI Impact
Fragmented Data
Product, engineering and simulation data is typically fragmented across multiple systems and databases – requiring extensive, often manual cycles to integrate and structure.
Dark and Dead Data
Engineering organizations generate huge volumes of data in day to day operations, but most of this data is sitting idle in storage and never put to use despite being valuable AI/ML training data.
Stand Alone AI/ML Applications
For AI/ML applications to scale and drive operational improvement they need to be embedded directly into engineering workflows – not stand alone pilots or applications.
The Fastest Path from Pilot to Production AI
Simplify Data Transformation
Connect and prepare data for agentic and AI physics applications faster and more cost effectively with Rescale.
Embed Agents Into Workflows
Maintain existing processes while integrating task-based and end-to-end agentic workflows to multiply capacity and productivity.
Deploy AI Physics at Scale
Give engineers the power to build data sets, train models, deploy surrogates at scale with an end-to-end AI Physics operating system.
Production AI. Proven Results.
3x
Increase in engineering productivity with Agentic Engineering
Performance Automotive
10x
Faster simulation results with 30x cost reduction using AI/ML methods
Global Oilfield Services
99%+
Surrogate model accuracy compared to traditional CFD simulations
Global Automotive Manufacturer
The Best Way to Explore Rescale is Hands On
AI & Machine Learning Capabilities
SURROGATE & REDUCED ORDER MODELING
Accelerate Simulations, Transform Engineering Agility
Build, deploy, and fine-tune customized physics-based AI models that unlock the value of your data. Rescale’s AI Physics enables rapid prediction of simulation to gain accurate results significantly faster than traditional methods, transforming R&D processes and accelerating simulation-driven innovation. It allows for real-time predictions and exploration of the design space in seconds, with accuracy matching traditional simulation methods.
MODEL DEVELOPMENT & DEPLOYMENT
Develop & Deploy Custom, Verifiable AI Models
Create automated training workflows that streamline the entire training process for your custom surrogate models. This includes the ability to train, deploy, and fine-tune these models using your existing simulation data. Rescale supports a comprehensive AI training and deployment pipeline, ensuring seamless integration of your model development lifecycle. This empowers engineers to unlock the value of data and building customized physics-based AI models.
AI DATA SEARCH & ANALYSIS
AI-Assisted Data Discovery and Powerful Analytics
Discover hidden insights within your vast simulation datasets. Rescale’s comprehensive data management, combined with AI search, enables full visibility of historical simulation results. Our advanced data search features are enhanced by Rescale Assistant which can query and understand your data, empowering engineers to quickly pinpoint relevant information and accelerate discovery. This capability ensures adaptability to explore and visualize data, enhancing collaboration and decision-making.
GPU CAPACITY FOR AI TRAINING & INFERENCE
Access Scalable Compute to Power Your AI Ambitions
Access the latest GPU architectures, scaled to the capacity teams need to meet modern AI requirements. Rescale seamlessly connects you to high-performance AI computing across leading hyperscalers and specialized cloud providers. This ensures your AI training and inference workloads consistently run on the most advanced hardware. Tap into the unmatched power of NVIDIA DGX Cloud for effortless scaling of AI-driven research and development. Leverage this flexible infrastructure to meet your most demanding computational needs, even as they evolve.
Explore AI/ML Resources
How McLaren Automotive is Operationalizing AI Physics & Agentic Digital Engineering
From the wind tunnel to the track, McLaren is proving that the future of engineering isn’t just about faster compute—it’s about the intelligent orchestration of physics and AI. In this…
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Rescale at GTC 2026: The Agentic Era Begins with NVIDIA, McLaren and Rescale Leading the Way
What the biggest trends of 2026 mean for data and AI leaders and how Rescale is putting agentic engineering and AI physics to work in product development.
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AI Physics Model Deployment for High-Compliance Aerospace Design
AI-augmented simulation dramatically accelerates design evaluations using inference prediction. Rescale’s AI Physics gives aerospace engineers a complete solution to build, deploy, and tune custom AI models using existing simulation data…
Watch VideoReady to begin your Digital Engineering journey?
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