Blog: How Faster Data Drives Smarter Simulations
Modern Day Simulations
The automotive industry is evolving at an incredible pace, with cutting-edge engineering simulations shaping the future of vehicle design and performance. From crash testing to aerodynamics and material durability, simulations enable manufacturers to refine their designs before spending cycles and costs on physical prototypes. But as these simulations become more complex, so do the challenges associated with managing and moving the massive datasets they generate.
Data Bottlenecks in Automotive Design Engineering
Engineering simulations depend on high-performance computing (HPC) environments, where vast datasets fuel AI-driven models and critical design decisions. The challenge? These datasets are often scattered across multiple locations and teams around the world. Accessing and transferring this data efficiently is a major hurdle.
When engineers can’t get the data they need, workflows grind to a halt. Design cycles drag on as teams wait hours—or even days—for simulations to load and complete, pushing back testing, prototyping, and production timelines. Collaboration suffers as geographically dispersed teams struggle to sync simulation data efficiently. And with specialized talent left waiting for data instead of solving complex engineering challenges, productivity and budgets take a hit.
The impact can be seen across OEM’s and automotive manufacturers:
- Higher Costs – Every delay eats into R&D budgets and manual version control increases the risk of expensive rework.
- Missed Market Opportunities – The race to market is fierce, and slow data movement can mean losing ground to competitors.
- Compromised Product Quality – Delayed simulations force teams to make decisions with fewer iterations, increasing the risk of design flaws making it into production, recalls, and safety issues.
Faster Data, Smarter Simulations
Vcinity and Simr are transforming how engineering teams run large-scale and complex simulations by overcoming traditional bottlenecks of data transfer and access. Simr’s fully-managed HPC platform provides enterprise engineers with the flexibility and compute power needed to accelerate simulations in the cloud, while Vcinity ensures seamless, near real-time access to massive datasets no matter where they reside. managed HPC platform provides enterprise engineers with the flexibility and compute power needed to accelerate simulations in the cloud, while Vcinity ensures seamless, near real-time access to massive datasets no matter where they reside.
Together, they enable globally dispersed R&D, production, and testing teams to collaborate more efficiently, iterate designs faster, and bring higher-quality products to market sooner—unlocking new levels of innovation without compromise. This allows automotive manufacturers to focus on what really matters—building the next generation of safer, more efficient, and high-performance vehicles.
Proven Performance: Abaqus FEA & Ansys Fluent
Abaqus Finite Element Analysis (FEA) and Ansys Fluent are two of the most widely used CAD/CAM applications for automotive engineering. But how do they perform when data access is challenged by distance?
In a real-world scenario, engineers using an Ansys Fluent instance and Abaqus FEA in Europe through the Simr platform wanted to see if it was possible run jobs against a dataset stored remotely in India—while maintaining local-like performance. Here’s what happened:
- For the Abaqus FEA instance, a simulation could be completed in 15 minutes with Vcinity versus 2.8 hours without Vcinity.
- In the Abaqus FEA instance, a simulation could be completed in just 6 seconds with Vcinity compared to 58 seconds without Vcinity.
With up to 11x faster run times, Vcinity and Simr redefine what’s possible—allowing organizations to run more simulations in the same timeframe and gain a competitive edge.
The Future of Automotive Innovation
With Vcinity and Simr, automotive manufacturers can push the boundaries of innovation—designing safer, more efficient vehicles at an unprecedented pace—with their existing resources. The future of engineering simulation isn’t just about better models; it’s about instant access to the data that drives them… and the subsequent ability to maximize the way teams spend their time—by doing more, higher value work with it.
Ready to experience the next generation of automotive simulations? Let’s talk.