Reducing Simulation Runtime Using Amazon EC2 Hpc7g Instances with Fairbrics

An AWS case study on Fairbrics, a company that uses artificial intelligence to design sustainable fabrics from carbon dioxide. The company leverages Amazon EC2 Hpc7g instances to power its high-performance computing (HPC) workloads, enabling it to simulate the physical properties of fabrics and test their performance before manufacturing them. Working closely with UCit, Fairbrics was able to develop a scalable and efficient fabric design process that combines machine learning and computational fluid dynamics. With AWS, Fairbrics has been able to drastically reduce its computation times and scale its simulations to meet growing demand, allowing it to accelerate the design process and bring new sustainable fabrics to market faster.