New Way Now: Schrödinger recodes the rules of drug discovery with Google Cloud

*Featured in this video:* Shane Brauner, executive vice president and CIO of Schrödinger *Executive summary:* Schrödinger, a pioneer in physics-based computational modeling, migrated its platform to Google Cloud to transform the way new therapeutics and materials are discovered. Using Compute Engine to harness high performance computing resources like Cloud GPUs, Schrödinger now has access to near-infinite processing power on demand that previously required building and maintaining on-premises infrastructure. The ability to customize different resources also enhanced its utilization of services like BigQuery to bring together and analyze molecular properties for experimentation.The partnership has provided a quantum leap for Schrödinger’s scientific inquiry: Complex calculations that once took weeks now complete in hours, allowing experiments to run in a single weekend rather than months. This breakthrough speed and scale enables deeper, faster exploration of billions of possible compounds, with the potential to shorten multi-year discovery programs to months — significantly increasing the odds of identifying promising therapeutic candidates for patients. *Challenge:* Drug discovery projects require massive bursts of computing power that were difficult for Schrödinger’s existing on-premises infrastructure to supply, with peak needs that could surge up to 10,000 times greater than its standard capacity. Rather than building and maintaining more capacity that might not be necessary day-to-day, Schrödinger was looking for a way to expand its computational scale on demand while providing rapid, efficient, and accurate exploration. *Solution:* Partnering with Google Cloud, Schrödinger migrated its advanced computational platform to Google Cloud to increase its capacity and previous throughput. Harnessing high performance computing resources like Cloud GPUs, Schrödinger now has access to near-infinite processing power on demand without the burden or cost of building a