How Cloud-Based Supercomputing Is Changing R&D
A catchall term for the world’s largest, most powerful computers, supercomputers were once available only to governments, research universities, and the most well-heeled corporations, and were used for cracking enemy codes, simulating weather, and designing nuclear reactors. This transition has the potential to accelerate (or disrupt) how businesses deliver complex engineered products, from designing rockets capable of reaching space and supersonic jets to creating new drugs and discovering vast pools of oil and gas hidden deep underground. The common thread in all simulations is that we are determining the likely observations of how a product would interact with its environment, based on the scientific principles that shape our world — from physics to chemistry to thermodynamics. Automakers like Nissan, Hyundai, and Arrival make it much easier and faster for their engineers to test new design techniques to build safer and more efficient vehicles in an increasingly complex operating environment with autonomous, electric, and connected capabilities. In the life sciences space Recursion Pharmaceuticals is applying Artificial Intelligence techniques to biology, and accelerating new drug discoveries by analyzing cells 20 times faster using machine learning on supercomputers.
AI & Machine learning
Virtualization & Network Resources
Engineering & Scientific
Computer Aided Engineering (CAE)