Rescale at GTC 2025: AI and GPUs’ Impact on Computational Engineering and HPC

NVIDIA’s 2025 GPU Technology Conference (GTC) delivered on the promise of Super-Bowl-level scale, and this year’s announcements have set a transformative stage for how enterprises approach computing. This blog post will delve into the key announcements, trends, and news from GTC with a focus on relevant topics affecting the Rescale ecosystem. This includes topics like GPU accelerated computer-aided engineering (CAE), AI surrogate and ROM methods, and the next generation of technologies like NVIDIA Blackwell GPUs, CUDA-X, and Omniverse—all critical to the computational engineering and scientific R&D ecosystem. We recommend also checking out Forbes’ recap for a broader market perspective and SemiAnalysis’ recap for a deep, analytical breakdown. 

The Expanding Role of AI for Physical World Applications

It’s clear that AI is no longer a exploratory use case; it’s rapidly becoming an integral set of technologies and operations across all industries and company sizes. Rescale was proud to be part of the Design and Simulation cohort at GTC, highlighting our commitment to empowering computational engineers and scientists with the tools to drive innovation across domains from transportation to life sciences. From the exhibits and sessions, it’s clear that the companies bridging the worlds of AI and physical-world digital technologies are making real strides to develop products that we touch and feel in our day to day lives. 

NVIDIA Technologies Fueling Industry Innovation

A New Era of Compute Performance and Efficiency

The announcement of NVIDIA’s Blackwell GPUs marks a significant leap forward in compute capabilities. With up to 150x more compute power, Blackwell promises to unleash new possibilities for AI, simulation, and data processing. The Blackwell Ultra NVL72, slated for release in the second half of 2025, will further amplify these capabilities, featuring improved performance for both training and inference workloads. These advancements will empower computational engineers to tackle increasingly complex problems, driving breakthroughs in fields ranging from materials science to aerospace engineering.

NVIDIA CUDA-X: The Software Foundation for GPU Acceleration

NVIDIA’s CUDA Toolkit continues to be the enabler of GPU-accelerated computing. NVIDIA is expanding CUDA’s reach with domain-specific libraries tailored for various industries. This focus on industry-specific optimization will streamline development and deployment of GPU-accelerated applications, making it easier for engineers and scientists to leverage the power of GPUs in their workflows.  

NVIDIA Omniverse: Real-Time 3D Collaboration and Visualization

NVIDIA Omniverse is transforming how engineers and scientists visualize and collaborate on complex projects. By enabling real-time 3D visualization, Omniverse facilitates improved collaboration and decision-making. For example, Rescale customer SLB is using Omniverse to visualize methane plume simulations from AI reduced-order modeling, enabling faster and more accurate leak detection in field operations.  

Convergence of Quantum Computing and HPC

GTC 2025 also highlighted the growing convergence of quantum computing and HPC. NVIDIA CEO Jensen Huang hosted a Quantum Day event, bringing together leaders in the quantum computing space to discuss the latest advancements. While practical quantum computers may still be on the horizon, the discussions underscored the potential of quantum computing to solve problems currently intractable for classical computers. Companies like IonQ, a Rescale partner developing hybrid quantum solutions, discussed strides in this field to provide access to quantum systems via cloud platforms.  

Rescale Announcements and Customer Innovation

Rescale Announces CAE Hub Powered by NVIDIA

GTC 2025 showcased new solutions to harness GPU technologies for computational engineering with Rescale’s announcement of CAE Hub powered by NVIDIA, which accelerates software like Siemens, Ansys, and Cadence to achieve up to 50x faster results of their modeling and simulation workloads. This collaboration between Rescale and NVIDIA delivers flexible, high-performance computing in the cloud, fueled by NVIDIA GPUs and NVIDIA’s growing network of Cloud Service Providers in the NCP program. Like their contribution to Generative AI, NVIDIA technologies are enabling engineers to address complex aerospace and automotive challenges that were previously not solvable in human time scales. By integrating these advancements, Rescale is providing a simple platform to access best-of-breed hardware and software in one place.

SLB and the Transformation of the Energy Sector

A prime example of the potential of next-gen computing was showcased by Schlumberger (SLB), a global leader in energy technology and Rescale customer. Rescale CEO Joris Poort and SLB Technical Advisor for Modeling and Simulation Gocha Chochua presented in a GTC session (Enhancing Oil & Gas Innovation: High-Fidelity Simulations & AI Surrogates with Accelerated Computing) on recent use cases and results from our ongoing collaboration. SLB is leveraging advanced simulation technologies to revolutionize the oil and gas industry. By combining computational fluid dynamics (CFD) and the Discrete Element Method (DEM) on Rescale, SLB is tackling critical engineering challenges to make energy production more efficient and sustainable. By harnessing specialized GPU computing hardware and AI-enhanced simulation methods, SLB was able to significantly accelerate project timelines while saving cost. 

GPU Acceleration: Revving the Engine of Innovation

GPU acceleration remains a cornerstone of progress in computational engineering. NVIDIA’s GPUs are enabling order-of-magnitude improvements in complex simulations. For example, SLB has achieved significant speed and cost efficiencies in CFD-DEM simulations by leveraging NVIDIA GPUs on Rescale’s cloud-based HPC platform. These advancements translate to faster results, lower costs, and a reduced carbon footprint, accelerating innovation in energy and other sectors.  

AI-Enhanced Simulation and Surrogate Modeling

AI is not only accelerating simulations but also enhancing their capabilities. AI-enhanced simulation, including the use of reduced-order models (ROMs) and surrogate modeling, is enabling faster decision-making and new insights.  

• Reduced Order Models (ROMs): ROMs deliver results with greater speed and efficiency, enabling real-time analysis in scenarios where traditional simulation is impractical. SLB, for instance, is using ROMs to reduce methane emissions by combining simulation with sensor data to locate leaks, achieving a 3,600x speedup in results.  
• Surrogate Modeling: Surrogate models, trained on historical simulation data, efficiently and rapidly solve for properties, accelerating exploration and production workflows. SLB achieved a 10x speedup in predicting porosity fields using surrogate models, improving the reliability of production forecasting.  

Boom Supersonic: Redefining Air Travel with AI and Rescale

Another compelling example of the transformative power of advanced computing is Boom Supersonic which was featured in the open and close of Jensen’s keynote address. Boom is on a mission to build the world’s fastest airliner, “Overture,” and they’re turning to Rescale and NVIDIA to achieve unprecedented speed and efficiency in their innovation process.  Overture’s development relies heavily on cutting-edge engineering and thousands of digital simulations, optimized using Rescale’s cloud platform and NVIDIA’s specialized GPUs. The results are astounding: Boom has achieved a 10x speedup in CFD simulations, enabling rapid refinement of aerodynamics and a significant breakthrough for the Overture airliner.  Boom’s engineers shared some of their newfound capabilities from harnessing the latest technologies on Rescale, including:

• 4x More Design Iterations: Rescale’s platform accelerates digital design validation and optimization, enabling four times as many R&D cycles in the same timeframe.
• Complex Simulations in Real-Time: A 10x GPU speedup across all CFD simulations reduces computational bottlenecks, facilitating rapid iteration.
• Weeks of Analysis Done in Seconds: Multi-step simulation studies are streamlined to near-instant results, easily validated by traditional simulation methods.

Blake Scholl, founder and CEO of Boom Supersonic, aptly stated, “At Boom, our mission is to make the world dramatically more accessible by making supersonic travel mainstream. We are also accelerating aircraft development with digital engineering and AI. Studies that used to take months and cost millions can now be done in days, thanks to cutting-edge computing and AI technologies developed by Boom, Rescale and NVIDIA.”  

Bring the Latest Innovations to Your Organization

NVIDIA GTC 2025 was yet another watershed moment for AI computing technologies and its application across industries. The advancements in GPU technology, AI-enhanced simulation, and collaborative platforms like Omniverse are empowering computational engineers and scientists to push the boundaries of innovation. 

How Rescale Accelerates Innovation with NVIDIA Technologies

Rescale is playing a pivotal role in empowering computational engineers and scientists to leverage these cutting-edge technologies. Rescale’s cloud-based HPC platform provides seamless access to NVIDIA’s latest GPUs, including Blackwell, and optimized software, enabling users to:

• Run CAE applications up to 50x faster: Rescale’s CAE Hub powered by NVIDIA, accelerates leading CAE applications, dramatically reducing simulation times.  
• Scale AI workloads: Rescale provides the infrastructure and tools to train and deploy AI models, enabling users to integrate AI into their simulation workflows.  
• Collaborate globally: Rescale’s platform facilitates cloud collaboration, enabling teams to work together seamlessly on complex projects, regardless of location.  
• Optimize performance and cost: Rescale’s intelligent orchestration optimizes workloads for performance and cost, ensuring users get the most out of their computing resources.  

Rescale shares NVIDIA’s goal to power innovation by delivering industry-specific software and workflows with a variety of specialized hardware architectures. to tackle the world’s most complex challenges. Get started with solutions like the Rescale CAE Hub powered by NVIDIA, harness the latest GPUs and CUDA-X libraries to accelerate your CAE performance.