Accelerate Drug Discovery with Rescale on AWS and NVIDIA
Learn how high performance computing (HPC) helps researchers and computational scientists expedite early stage research and speed up drug development.
The process of finding the right drug candidate suitable for preclinical and clinical trials is like searching the beach for one perfect grain of sand.
Computer-aided drug design (CADD), high-throughput screening (HTS), and AI-based drug discovery tools help speed up early research, allowing scientists to sift through compounds faster. However, outdated infrastructures and massive, siloed datasets prevent researchers from using these tools to their full potential.
In-house infrastructure typically falls short, due to the spikey nature of research workloads, increasing computational requirements, and budget overruns. Fortunately, leveraging HPC in the cloud with Amazon Web Services (AWS) makes it possible for pharmaceutical companies to rapidly scale even the most computationally demanding stochastic modeling and simulation workloads with elastic resources and a pay-as- you-go approach.
With that in mind, browse our latest solutions brief to explore common hurdles in the early research and clinical trial phases of drug discovery, and discover industry-leading solutions that leverage the latest cloud technologies.
Download the solutions brief to learn more
About Rescale
Rescale provides high performance computing built for the cloud to empower engineers while giving IT security and control. The Rescale platform makes it simple for engineers and scientists to harness the most advanced software and computing architectures for cutting-edge simulation and AI-driven innovation. For IT, the Rescale platform provides full-stack security and support, and delivers policy-based financial and architectural controls to maximize performance and efficiency. Rescale powers the world’s leading companies to accelerate innovation across industries including life sciences, automotive, energy, semiconductor, aerospace, and manufacturing.