XtalPi is empowering global pharmaceutical and biotech companies to achieve faster, safer, and more cost-effective drug R&D.
Thanks to its partnership with Amazon Web Services (AWS), XtalPi's HPC platform is optimized to deploy up to 1,000,000 cores of computing power for maximum security, scalability, flexibility, and efficiency.
XtalPi's cloud architecture is designed for multi-cloud capacity from the get-go. It has built successful relationships with many cloud service providers such as AWS, Tencent Cloud, Google Cloud.
XtalPi's cloud computing system is integrated with its cloud services, which keep defying the limits of its total computing resource.
Based on the scaling services of our collaborated cloud service providers, the XtalPi team can easily set up an independent computing cluster and scale up to millions of cores in hours, which speed up the calculation process and benefit to the drug design and development.
XtalPi's job orchestration system could seamlessly integrate with different cloud computing clusters, which ensure the scalability on different clouds while keeping the overall CPU usage above 90%.
XtalPi's computing architecture follows the principle of cloud-native design, which has highly customized all the algorithms into docker services, which are automatically shipped to the cloud via full-stack DevOps toolkits. In response to a combination of industrial requirements and high-performance computing scenarios, XtalPi has set up a very flexible R&D pipeline to quickly and automatically deploy software updates.
At XtalPi, we are managing the multiple types of data storage problems as the data lake design, which helps us to visualize the data easily and quickly aggregate the data for further data analysis and AI modeling. With the increasing of data, the machine learning model could be iteratively trained to archive better performance.